Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T18:35:58.177516Z
Paper Citation Record · LEDGER
Quantifying and Predicting Disagreement in Graded Human Ratings
As of 5 August 2026, this Paper Citation Record lists 100 of 220 outbound references and 1 inbound Pith citation observation for arXiv:2605.01168.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T22:08:39.405870Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 220 outbound references displayed
- verified exact20
- verified fuzzy77
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4040fad5-9d13-4290-8cbe-1b7979585771 · outbound
This paper cites Attention is All you Need , url =.
Quantifying and Predicting Disagreement in Graded Human Ratings Attention is All you Need , url =
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.226579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c71688ce-0a74-4770-a2b1-ba6da0e174a2 · outbound
This paper cites Seventeenth Symposium on Usable Privacy and Security (SOUPS 2021) , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Seventeenth Symposium on Usable Privacy and Security (SOUPS 2021) , pages=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.209942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c99b66c2-f1b8-4cda-a55b-c55b54894354 · outbound
This paper cites Stop measuring calibration when humans disagree.
Quantifying and Predicting Disagreement in Graded Human Ratings Stop measuring calibration when humans disagree
Reference 3
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.223394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7a7adb1e-426e-4e57-a555-6f6ceaacf944 · outbound
This paper cites Cognitive psychology , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Cognitive psychology , volume=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.206084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a8ef98cc-28b6-4ef9-8ecf-50bdb4f21128 · outbound
This paper cites Cognitive development and acquisition of language , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Cognitive development and acquisition of language , pages=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.213527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 230426ef-67ac-4e3c-ae53-c4beff17b302 · outbound
This paper cites Annual review of sociology , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Annual review of sociology , volume=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.193176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 42df467b-e3c0-496b-a27e-5ee953c55782 · outbound
This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) , pages=
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.186096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f58554b5-1056-4729-8379-81546549b5a0 · outbound
This paper cites Modular pluralism: P luralistic alignment via multi- LLM collaboration.
Quantifying and Predicting Disagreement in Graded Human Ratings Modular pluralism: P luralistic alignment via multi- LLM collaboration
Reference 9
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.215766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bac57fa7-6630-4ff3-b168-57852407d056 · outbound
This paper cites Mobile DNA , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Mobile DNA , volume=
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.172693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 821bf2f4-6e03-4289-8db5-60d26274adc3 · outbound
This paper cites Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement.
Quantifying and Predicting Disagreement in Graded Human Ratings Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:08.872113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 67bb24c3-b836-45ee-a8b0-83bcbf89441a · outbound
This paper cites CEUR WORKSHOP PROCEEDINGS , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings CEUR WORKSHOP PROCEEDINGS , volume=
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.164528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0d4a6f71-815c-4e2d-a4a3-f860f12908de · outbound
This paper cites an unresolved cited work.
Quantifying and Predicting Disagreement in Graded Human Ratings Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:01:20.180088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 89922f2b-8494-41a8-96fd-8344ee69ea28 · outbound
This paper cites European Conference on Information Retrieval , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings European Conference on Information Retrieval , pages=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.202044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e0876879-c7e4-49df-87b5-f9fdfa0c4260 · outbound
This paper cites Working Notes of CLEF , year=.
Quantifying and Predicting Disagreement in Graded Human Ratings Working Notes of CLEF , year=
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.217604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fef0a16a-067b-4d69-9b38-fbe5cf7a522d · outbound
This paper cites Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives)@ LREC-COLING 2024 , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives)@ LREC-COLING 2024 , pages=
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.235435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 50023a21-246b-4dce-93cc-d7dc97cb7cd6 · outbound
This paper cites Proceedings of the 9th ACM Multimedia Systems Conference , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the 9th ACM Multimedia Systems Conference , pages=
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.277857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d4728c83-3dd9-4343-9d9a-fec2686c342c · outbound
This paper cites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , volume=
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.358063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1f0454a3-fe70-47d5-bb12-c53cf0566c81 · outbound
This paper cites In Search of Basic Units of Spoken Language , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings In Search of Basic Units of Spoken Language , pages=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.632168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a4697f60-5fd1-49ed-8ca6-7a29ded4513c · outbound
This paper cites author=.
Quantifying and Predicting Disagreement in Graded Human Ratings author=
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.696108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98a0a5a8-6697-4b47-ae85-cb5005fd2bb0 · outbound
This paper cites Neural Computing and Applications , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Neural Computing and Applications , volume=
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.639527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0fdaf6f8-dfd5-4096-b444-fb27eb07d5cf · outbound
This paper cites Journal of New Music Research , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Journal of New Music Research , volume=
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.720552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f67d1f7a-bdb0-49d8-ae75-aec78b0e28e0 · outbound
This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.731546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c36e6b09-99ea-4cde-aa63-e8a6afcf5c9a · outbound
This paper cites an unresolved cited work.
Quantifying and Predicting Disagreement in Graded Human Ratings Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:01:20.197733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 212a94c2-64ec-4c7d-9fae-c57dcef48c15 · outbound
This paper cites Essentials of language documentation , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Essentials of language documentation , volume=
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.739436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7323b5e2-2adc-40b0-844b-c60feec11fdd · outbound
This paper cites Computational linguistics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Computational linguistics , volume=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.691340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f71faaa9-235e-411b-aca2-576c1343db68 · outbound
This paper cites Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data.
Quantifying and Predicting Disagreement in Graded Human Ratings Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
Reference 28
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.213985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 902f49a8-fa09-425c-83ce-5f4f023b3400 · outbound
This paper cites Proceedings of The Web Conference 2020 , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of The Web Conference 2020 , pages=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.717616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 79eff9a3-0a08-4a2d-9908-10ce9e71b0e3 · outbound
This paper cites ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?.
Quantifying and Predicting Disagreement in Graded Human Ratings ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:08.840823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c1ccacc8-fb01-4c11-ad25-4761f57ff9e9 · outbound
This paper cites 2009 IEEE conference on computer vision and pattern recognition , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings 2009 IEEE conference on computer vision and pattern recognition , pages=
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.709624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ecc82332-8535-4d81-99c7-1c0b6921db9a · outbound
This paper cites The state-of-the-art in.
Quantifying and Predicting Disagreement in Graded Human Ratings The state-of-the-art in
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.688925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3106dd56-4522-4f92-b052-bc16dc452b49 · outbound
This paper cites Procedia Computer Science , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Procedia Computer Science , volume=
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.635825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98dc51f2-8ee1-42e9-9726-e1b4e21b3da6 · outbound
This paper cites Solving Label Variation in Scientific Information Extraction via Multi-Task Learning.
Quantifying and Predicting Disagreement in Graded Human Ratings Solving Label Variation in Scientific Information Extraction via Multi-Task Learning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.643423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d9eae6d9-b37c-4e07-ba96-a37b75614529 · outbound
This paper cites In Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives)@ LREC-COLING 2024 , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings In Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives)@ LREC-COLING 2024 , pages=
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.685661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4795be37-3ac0-489c-ac05-30747bf7cb75 · outbound
This paper cites Which Demographics do LLMs Default to During Annotation?.
Quantifying and Predicting Disagreement in Graded Human Ratings Which Demographics do LLMs Default to During Annotation?
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:08.993072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b0b0edd9-47d0-4e9e-981e-c732861571e8 · outbound
This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.691942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 79a7bfa4-4b6a-499b-b68f-69da167e298e · outbound
This paper cites Fine-grained Fallacy Detection with Human Label Variation.
Quantifying and Predicting Disagreement in Graded Human Ratings Fine-grained Fallacy Detection with Human Label Variation
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:08.818082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d311c6e3-0f33-4056-a6b8-da97bdf74d83 · outbound
This paper cites Can Large Language Models Capture Dissenting Human Voices?.
Quantifying and Predicting Disagreement in Graded Human Ratings Can Large Language Models Capture Dissenting Human Voices?
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:08.757356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation edeb581c-9094-4cab-9722-f6b4fdb7f355 · outbound
This paper cites Proceedings of the Third Workshop on Understanding Implicit and Underspecified Language , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the Third Workshop on Understanding Implicit and Underspecified Language , pages=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.687057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 061b7f92-624e-469a-862d-3645a983a948 · outbound
This paper cites Transactions of the Association for Computational Linguistics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Transactions of the Association for Computational Linguistics , volume=
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.315910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e0d85500-cfbf-4079-8299-f01b7bab4495 · outbound
This paper cites Transactions of the Association for Computational Linguistics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Transactions of the Association for Computational Linguistics , volume=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.349967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a64d4595-b0b2-45b5-a8c8-750575ab7b0f · outbound
This paper cites Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations.
Quantifying and Predicting Disagreement in Graded Human Ratings Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:08.984140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7069cacb-1931-4526-bf8b-3feabc0fc00d · outbound
This paper cites SemEval-2023 Task 11: Learning With Disagreements (LeWiDi).
Quantifying and Predicting Disagreement in Graded Human Ratings SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:08.792976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2e29bcd9-1428-45a8-b6f0-8b0093e16676 · outbound
This paper cites Computational Linguistics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Computational Linguistics , volume=
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.452953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e7f9dbf5-df03-416a-a609-1d4e0de78d60 · outbound
This paper cites Transactions of the Association for Computational Linguistics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Transactions of the Association for Computational Linguistics , volume=
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.506934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e98a6fb4-a83c-402a-9952-c29e45ae8a81 · outbound
This paper cites Computational Linguistics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Computational Linguistics , volume=
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.725333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dbc918ba-b997-462f-879e-4991c192d261 · outbound
This paper cites Language resources and evaluation , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Language resources and evaluation , volume=
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.672620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6f31983c-640c-4563-a82f-1fcce9cfab58 · outbound
This paper cites Learning with Annotation Noise.
Quantifying and Predicting Disagreement in Graded Human Ratings Learning with Annotation Noise
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.667728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e32dd7e1-6b80-4763-8d35-396ac5f110a8 · outbound
This paper cites NLP ositionality: Characterizing Design Biases of Datasets and Models.
Quantifying and Predicting Disagreement in Graded Human Ratings NLP ositionality: Characterizing Design Biases of Datasets and Models
Reference 50
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.217496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2bc9f035-de32-4c53-b4c5-a39842938868 · outbound
This paper cites Transactions of the Association for Computational Linguistics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Transactions of the Association for Computational Linguistics , volume=
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.655209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ecec3f8c-7bd3-4535-a938-6af91fef85c7 · outbound
This paper cites L a MP : When Large Language Models Meet Personalization.
Quantifying and Predicting Disagreement in Graded Human Ratings L a MP : When Large Language Models Meet Personalization
Reference 52
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.219119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fa3eca97-e4fd-46ff-94f2-68f1c7dc9424 · outbound
This paper cites Alfonso and Martin, Maite.
Quantifying and Predicting Disagreement in Graded Human Ratings Alfonso and Martin, Maite
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.649368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 092257f9-d31c-4503-9ed1-f045cad86f76 · outbound
This paper cites arXiv preprint arXiv:2301.10684 , year=.
Quantifying and Predicting Disagreement in Graded Human Ratings arXiv preprint arXiv:2301.10684 , year=
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:08.765681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 05faa2b3-0722-4698-b143-901c2812c05a · outbound
This paper cites Disagreement in Argumentation Annotation.
Quantifying and Predicting Disagreement in Graded Human Ratings Disagreement in Argumentation Annotation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.727223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 02540f8b-aa42-4c5d-a677-5073e04e0518 · outbound
This paper cites When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset.
Quantifying and Predicting Disagreement in Graded Human Ratings When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:09.006148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 711c9314-9f73-4406-9a8a-35a62522dfd3 · outbound
This paper cites Victoria and Herrera, Francisco.
Quantifying and Predicting Disagreement in Graded Human Ratings Victoria and Herrera, Francisco
Reference 57
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.210425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d51b3aed-5706-4a85-81ff-57822f98fe5d · outbound
This paper cites Proceedings of the 1st workshop on benchmarking: past, present and future , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the 1st workshop on benchmarking: past, present and future , pages=
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.735931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 77b89ef4-b76d-425b-9e36-6131721332d9 · outbound
This paper cites Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting.
Quantifying and Predicting Disagreement in Graded Human Ratings Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.716677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 758f0ab1-3ddd-4e7a-806a-634784ff45c9 · outbound
This paper cites Quantifying the persona effect in LLM simulations.
Quantifying and Predicting Disagreement in Graded Human Ratings Quantifying the persona effect in LLM simulations
Reference 60
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.212155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4b45e202-eca6-40cf-8d05-8b2da0a79aa5 · outbound
This paper cites Proceedings of the ACM on Human-Computer Interaction , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the ACM on Human-Computer Interaction , volume=
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.700654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 10a0e9fa-2380-4369-a2cb-11d4301d860e · outbound
This paper cites PloS one , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings PloS one , volume=
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.713263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 20e93271-47e7-4aba-b27e-6179cb045f7b · outbound
This paper cites Journal of Communication Inquiry , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Journal of Communication Inquiry , volume=
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.724144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 230ebfa3-eeed-404b-9d14-187bfb479880 · outbound
This paper cites Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media , pages=
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.721723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5a672512-ff5b-4a39-93c4-f510ebf27823 · outbound
This paper cites Annotating.
Quantifying and Predicting Disagreement in Graded Human Ratings Annotating
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.611498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3ffedcd1-f1f8-43a1-a502-ccf0d8aa44f5 · outbound
This paper cites Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024) , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024) , pages=
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.695242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d6bb5643-e38a-4daa-ac0e-9c911e71e739 · outbound
This paper cites Proceedings of the 15th ACM Web Science Conference 2023 , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the 15th ACM Web Science Conference 2023 , pages=
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.709241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b218f7b7-0812-4447-b54d-8d7e0294d400 · outbound
This paper cites 1st Workshop on Perspectivist Approaches to NLP , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings 1st Workshop on Perspectivist Approaches to NLP , pages=
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.666666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 62043f19-17fb-48bc-922b-c019423ff1f1 · outbound
This paper cites an unresolved cited work.
Quantifying and Predicting Disagreement in Graded Human Ratings Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-05-25T23:01:20.669731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 99e0877b-5691-4d0f-a93b-6c15f6cd0f89 · outbound
This paper cites Dialogue & Discourse , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Dialogue & Discourse , volume=
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.675988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3b380d06-56bf-4e93-9de5-cfd7c5f38883 · outbound
This paper cites Exploiting ` Subjective ' Annotations.
Quantifying and Predicting Disagreement in Graded Human Ratings Exploiting ` Subjective ' Annotations
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.678850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 22a1ff07-f5c6-47fa-b02b-d3ff05e4616d · outbound
This paper cites Language Resources and Evaluation , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Language Resources and Evaluation , pages=
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.652110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6025bcd7-361b-4dc9-bf9c-5550a28e8615 · outbound
This paper cites The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels.
Quantifying and Predicting Disagreement in Graded Human Ratings The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.659551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ffda838c-0053-4a40-a74f-4d6ecf3d4725 · outbound
This paper cites Proceedings of LAW X: The 10th Linguistic Annotation Workshop , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of LAW X: The 10th Linguistic Annotation Workshop , pages=
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.655821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 25ca8f1a-00f5-48fd-991f-8a9d6830080d · outbound
This paper cites Annotate.
Quantifying and Predicting Disagreement in Graded Human Ratings Annotate
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.698422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5f7ef0d1-be94-44da-baa5-4443e78cf4e4 · outbound
This paper cites Language Resources and Evaluation , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Language Resources and Evaluation , volume=
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.682266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 14bfe11c-d403-40a7-ae2b-a3004a33e3aa · outbound
This paper cites Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.701668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 79d8e997-69e9-472f-998b-824f3ca66ea9 · outbound
This paper cites Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations.
Quantifying and Predicting Disagreement in Graded Human Ratings Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:11:08.801213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b5507d3d-6a4d-4efe-907e-b878ad33653b · outbound
This paper cites Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It`s Best to Relate Perspectives!.
Quantifying and Predicting Disagreement in Graded Human Ratings Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It`s Best to Relate Perspectives!
Reference 79
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.208631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c0b641b-ac4d-4599-bd88-12e1e8a6d5d4 · outbound
This paper cites Journal of Information Processing , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Journal of Information Processing , volume=
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.623874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa45c7ee-25af-4756-8b62-8154508f2eec · outbound
This paper cites Proceedings of the AAAI Conference on Human Computation and Crowdsourcing , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the AAAI Conference on Human Computation and Crowdsourcing , volume=
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.610435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ced4cf50-6975-461e-9573-5edbb534dcf7 · outbound
This paper cites The Importance of Modeling Social Factors of Language: Theory and Practice.
Quantifying and Predicting Disagreement in Graded Human Ratings The Importance of Modeling Social Factors of Language: Theory and Practice
Reference 82
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.227412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dabca256-e075-4fd2-90d8-7c82bf3b265b · outbound
This paper cites Identifying and Measuring Annotator Bias Based on Annotators ' Demographic Characteristics.
Quantifying and Predicting Disagreement in Graded Human Ratings Identifying and Measuring Annotator Bias Based on Annotators ' Demographic Characteristics
Reference 83
- Resolution
- verified exact
- doi, observed 2026-05-09T19:40:40.221182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fb7650da-d9e5-4a4d-bcdd-aa57ddcdef72 · outbound
This paper cites Information Processing & Management , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Information Processing & Management , volume=
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.614092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d074b9c9-89dc-422b-9a20-39922129b0c3 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.601155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9778caef-3bf8-4298-a2ff-7705a73b7ae6 · outbound
This paper cites Computational Linguistics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Computational Linguistics , volume=
Reference 86
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.597313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1f73d892-8e37-4d53-8647-680a022e1f7b · outbound
This paper cites Subjective Natural Language Problems: Motivations, Applications, Characterizations, and Implications.
Quantifying and Predicting Disagreement in Graded Human Ratings Subjective Natural Language Problems: Motivations, Applications, Characterizations, and Implications
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.605571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 500be185-81be-40dc-afaf-373af35b5cdf · outbound
This paper cites Artificial intelligence and law , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Artificial intelligence and law , volume=
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.617570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 74c5a8e1-7faa-4d2f-a977-ca3124a18a87 · outbound
This paper cites Applied Clinical Informatics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Applied Clinical Informatics , volume=
Reference 89
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.620740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 41684f7e-bd17-4e7f-9243-04cc63fa1677 · outbound
This paper cites author=.
Quantifying and Predicting Disagreement in Graded Human Ratings author=
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.639674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1cbbffb5-055d-4bcb-9669-588792ddc20d · outbound
This paper cites Plos one , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Plos one , volume=
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.705334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8cb3227-08f1-43cb-a78d-daf48614a241 · outbound
This paper cites Computational linguistics , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Computational linguistics , volume=
Reference 93
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.581380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c6198c39-13fa-4d46-a664-872daffb8f3d · outbound
This paper cites Language resources and evaluation , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings Language resources and evaluation , volume=
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.589425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0ced1c8c-c6ad-4e30-acf2-2ae91c07142f · outbound
This paper cites Why Don ' t You Do It Right? Analysing Annotators ' Disagreement in Subjective Tasks.
Quantifying and Predicting Disagreement in Graded Human Ratings Why Don ' t You Do It Right? Analysing Annotators ' Disagreement in Subjective Tasks
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.585740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 29ec9b8e-1863-4a73-81ae-5e9e6d49e926 · outbound
This paper cites AI Magazine , volume=.
Quantifying and Predicting Disagreement in Graded Human Ratings AI Magazine , volume=
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.648579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f164d148-04f3-40dd-bc64-4535d4606257 · outbound
This paper cites The Semantic Web.
Quantifying and Predicting Disagreement in Graded Human Ratings The Semantic Web
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.682956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation de3e7bea-2103-48d0-9231-780c43fe5a50 · outbound
This paper cites Investigating Reasons for Disagreement in Natural Language Inference.
Quantifying and Predicting Disagreement in Graded Human Ratings Investigating Reasons for Disagreement in Natural Language Inference
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:01:20.397550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d61525ff-dff1-4832-949f-b3947ba96325 · outbound
This paper cites 2023 , booktitle=.
Quantifying and Predicting Disagreement in Graded Human Ratings 2023 , booktitle=
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.713967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 723106d1-76f5-4304-9b18-a72aab84a15d · outbound
This paper cites Would you describe a leopard as yellow? Evaluating crowd-annotations with justified and informative disagreement.
Quantifying and Predicting Disagreement in Graded Human Ratings Would you describe a leopard as yellow? Evaluating crowd-annotations with justified and informative disagreement
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.678618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 89da5b02-f38d-4ca3-a324-c27423569f59 · outbound
This paper cites Embracing Ambiguity: A Comparison of Annotation Methodologies for Crowdsourcing Word Sense Labels.
Quantifying and Predicting Disagreement in Graded Human Ratings Embracing Ambiguity: A Comparison of Annotation Methodologies for Crowdsourcing Word Sense Labels
Reference 101
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.705291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 77d0a823-7b9f-4069-96bd-2eded1c8e300 · outbound
This paper cites Annotating.
Quantifying and Predicting Disagreement in Graded Human Ratings Annotating
Reference 102
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.644256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2442e8d6-e8f5-447c-87ec-704f91c5f149 · outbound
This paper cites Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on T witter.
Quantifying and Predicting Disagreement in Graded Human Ratings Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on T witter
Reference 103
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T23:06:19.729383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 93c846f6-8c33-4485-b814-7638ba7de141 · inbound
How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI cites this paper.
How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI Quantifying and Predicting Disagreement in Graded Human Ratings
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