Machine Understanding of Scientific Language | Paper Citation Record

Observation 8e863a5b-50ae-4150-a362-2b479b70a0ed · outbound

This paper cites A Graph-Theoretic Embedding- Based Approach for Rumor Detection in Twitter.

Machine Understanding of Scientific Language A Graph-Theoretic Embedding- Based Approach for Rumor Detection in Twitter

Reference 1

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Observation fe1045fc-b6e5-4707-b192-2fe8dcc5991a · outbound

This paper cites Unsupervised Domain Clusters in Pretrained Language Models.

Machine Understanding of Scientific Language Unsupervised Domain Clusters in Pretrained Language Models

Reference 2

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Observation 78102dc2-6021-4397-9d09-b94ea6404500 · outbound

This paper cites Time-Aware Evidence Ranking for Fact-Checking.

Machine Understanding of Scientific Language Time-Aware Evidence Ranking for Fact-Checking

Reference 3

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Observation 14de3fd5-95fe-467c-8942-efefb6e14fdb · outbound

This paper cites Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning.

Machine Understanding of Scientific Language Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning

Reference 4

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This paper cites S., T HORNE , J., V LACHOS , A., C HRISTODOULOPOU - LOS, C., C OCARASCU , O., AND MITTAL , A.

Machine Understanding of Scientific Language S., T HORNE , J., V LACHOS , A., C HRISTODOULOPOU - LOS, C., C OCARASCU , O., AND MITTAL , A

Reference 5

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Observation ff52d578-60a4-48cc-a8dd-d061f758bf0a · outbound

This paper cites Construction of the Literature Graph in Semantic Scholar.

Machine Understanding of Scientific Language Construction of the Literature Graph in Semantic Scholar

Reference 6

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Observation 51105446-3b9c-419a-8f5f-b105b93e337a · outbound

This paper cites an unresolved cited work.

Machine Understanding of Scientific Language Unresolved cited work

Reference 7

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Observation 16a3b997-410e-4b50-9860-61493461d102 · outbound

This paper cites Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness.

Machine Understanding of Scientific Language Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness

Reference 8

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Observation 6bb3a664-2530-42f1-bd05-45eb84b5ee44 · outbound

This paper cites G., L IOMA , C., AND AUGENSTEIN , I.

Machine Understanding of Scientific Language G., L IOMA , C., AND AUGENSTEIN , I

Reference 9

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Observation 51825670-93c9-4033-be8a-781aa1ebe7f1 · outbound

This paper cites G., L IOMA , C., AND AUGENSTEIN , I.

Machine Understanding of Scientific Language G., L IOMA , C., AND AUGENSTEIN , I

Reference 10

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Observation a361114d-16ba-45de-aef5-6c183dc3523d · outbound

This paper cites Generating Label Cohesive and Well- Formed Adversarial Claims.

Machine Understanding of Scientific Language Generating Label Cohesive and Well- Formed Adversarial Claims

Reference 11

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Observation a974ce66-0cc2-4a57-aa5e-d4b5179f9fd3 · outbound

This paper cites SemEval 2017 Task 10: ScienceIE-Extracting Keyphrases and Relations from Scientific Publications.

Machine Understanding of Scientific Language SemEval 2017 Task 10: ScienceIE-Extracting Keyphrases and Relations from Scientific Publications

Reference 12

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Observation ed51ab42-ea19-4445-8b6a-405873b018ee · outbound

This paper cites an unresolved cited work.

Machine Understanding of Scientific Language Unresolved cited work

Reference 13

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Observation 76ef21c1-e47d-4eb8-ad41-a68bb684ecc2 · outbound

This paper cites Stance Detection with Bidirectional Conditional Encoding.

Machine Understanding of Scientific Language Stance Detection with Bidirectional Conditional Encoding

Reference 14

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Observation 34ffc43e-c529-41c0-8f70-efb627a16756 · outbound

This paper cites Multi-Task Learning of Keyphrase Boundary Classi- fication.

Machine Understanding of Scientific Language Multi-Task Learning of Keyphrase Boundary Classi- fication

Reference 15

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Observation 59bc2145-2fc1-411c-8c5d-adb65fa73b07 · outbound

This paper cites A., AND REINECKE , K.

Machine Understanding of Scientific Language A., AND REINECKE , K

Reference 16

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Observation d104c163-8e69-4d33-9613-a95dc338883a · outbound

This paper cites an unresolved cited work.

Machine Understanding of Scientific Language Unresolved cited work

Reference 17

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This paper cites an unresolved cited work.

Machine Understanding of Scientific Language Unresolved cited work

Reference 18

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Observation 9f7f23bc-1eba-415b-aeea-93270157a6be · outbound

This paper cites D., W RIGHT , D., K ATSIS, Y., KIM, H.-C., S WAFFORD , A.

Machine Understanding of Scientific Language D., W RIGHT , D., K ATSIS, Y., KIM, H.-C., S WAFFORD , A

Reference 19

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Observation 3b5f0ce6-f119-4d2c-8693-be0f8f1ff404 · outbound

This paper cites M., M ASON , W.

Machine Understanding of Scientific Language M., M ASON , W

Reference 20

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Observation e055ab92-e2db-4376-bdf1-7b458242589f · outbound

This paper cites R., M ÀRQUEZ , L., M OSCHITTI , A., AND NAKOV, P.

Machine Understanding of Scientific Language R., M ÀRQUEZ , L., M OSCHITTI , A., AND NAKOV, P

Reference 21

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Observation 729abbde-b03b-48a7-8862-82c4c0df8dae · outbound

This paper cites CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media.

Machine Understanding of Scientific Language CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media

Reference 22

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Observation 2136d1f1-52f4-43c4-8ce4-2183093437be · outbound

This paper cites Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims.

Machine Understanding of Scientific Language Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims

Reference 23

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Observation 8403d0f7-a02d-4248-982e-b6e5bdbe7756 · outbound

This paper cites L., K OMPA, B., S CHMALTZ , A., F RIED, I., W EBER , G.

Machine Understanding of Scientific Language L., K OMPA, B., S CHMALTZ , A., F RIED, I., W EBER , G

Reference 24

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Observation 6eda7842-a828-47fa-9fc9-f827e701533d · outbound

This paper cites Learning from positive and unlabeled data: a survey.

Machine Understanding of Scientific Language Learning from positive and unlabeled data: a survey

Reference 25

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Observation dffdcf94-2794-49fd-bc85-1f403d8fffa0 · outbound

This paper cites SciBERT: A Pretrained Language Model for Scientific Text.

Machine Understanding of Scientific Language SciBERT: A Pretrained Language Model for Scientific Text

Reference 26

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Observation 11fce6b6-5894-41ac-9791-a01ca6902be2 · outbound

This paper cites Longformer: The Long-Document Transformer.

Machine Understanding of Scientific Language Longformer: The Long-Document Transformer

Reference 27

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Observation ddfe4559-060d-4995-8325-2bfb1d73b2c1 · outbound

This paper cites NLTK: The Natural Language Toolkit.

Machine Understanding of Scientific Language NLTK: The Natural Language Toolkit

Reference 28

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Observation 5134b888-2ad1-4f43-afc9-b2d962aa7834 · outbound

This paper cites J., G IBSON , B., J OSEPH , M.

Machine Understanding of Scientific Language J., G IBSON , B., J OSEPH , M

Reference 29

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Observation f290205a-fa63-4177-9bf3-84c1fcc501b0 · outbound

This paper cites Biographies, Bollywood, Boom-Boxes and Blenders: Domain Adaptation for Sentiment Classification.

Machine Understanding of Scientific Language Biographies, Bollywood, Boom-Boxes and Blenders: Domain Adaptation for Sentiment Classification

Reference 30

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Observation acaa0220-d8da-4389-9113-0e6e69318f90 · outbound

This paper cites Domain Adaptation with Structural Cor- respondence Learning.

Machine Understanding of Scientific Language Domain Adaptation with Structural Cor- respondence Learning

Reference 31

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Observation 6429b0d9-17b7-4b53-a0f4-cdaedeaada25 · outbound

This paper cites an unresolved cited work.

Machine Understanding of Scientific Language Unresolved cited work

Reference 32

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Observation 7e907dc5-679e-4e4f-8a69-98055a4e8f41 · outbound

This paper cites The Unified Medical Language System (UMLS): integrating biomedical terminology.

Machine Understanding of Scientific Language The Unified Medical Language System (UMLS): integrating biomedical terminology

Reference 33

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Observation f6c0b2e4-7f53-42e1-91dc-a5627ce92874 · outbound

This paper cites Explainable assess- ment of healthcare articles with QA.

Machine Understanding of Scientific Language Explainable assess- ment of healthcare articles with QA

Reference 34

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Observation 3e8844b3-af25-41ee-8133-2f8fca04983e · outbound

This paper cites Enriching Word Vectors with Subword Information.

Machine Understanding of Scientific Language Enriching Word Vectors with Subword Information

Reference 35

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Observation 382198ef-fb4e-412b-8fbf-7c2307ff4c9a · outbound

This paper cites Inducing Relational Knowledge from BERT.

Machine Understanding of Scientific Language Inducing Relational Knowledge from BERT

Reference 36

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This paper cites R., A NGELI , G., P OTTS , C., AND MANNING , C.

Machine Understanding of Scientific Language R., A NGELI , G., P OTTS , C., AND MANNING , C

Reference 37

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This paper cites C., C HALLENGER , A., B OIVIN , J., B OTT, L., C HAMBERS , C.

Machine Understanding of Scientific Language C., C HALLENGER , A., B OIVIN , J., B OTT, L., C HAMBERS , C

Reference 38

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Observation 9cf0adae-1a2c-4424-8c3a-f5929abe94dd · outbound

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Machine Understanding of Scientific Language Unresolved cited work

Reference 39

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This paper cites S., I OANNIDIS , J., M OKRYSZ , C., N OSEK , B.

Machine Understanding of Scientific Language S., I OANNIDIS , J., M OKRYSZ , C., N OSEK , B

Reference 40

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Observation dea98d87-8d36-4dae-b030-69b2c67786b7 · outbound

This paper cites YAKE! Keyword extraction from single documents using multiple local features.Inf.

Machine Understanding of Scientific Language YAKE! Keyword extraction from single documents using multiple local features.Inf

Reference 41

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Observation cc332759-647d-4b21-9e53-89e8e231b11c · outbound

This paper cites Pubmed: the bibliographic database.

Machine Understanding of Scientific Language Pubmed: the bibliographic database

Reference 42

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Observation c7fd8504-3d7c-492d-b6e1-5d40a78acd32 · outbound

This paper cites Multilevel Bayesian Models of Categorical Data Annotation.

Machine Understanding of Scientific Language Multilevel Bayesian Models of Categorical Data Annotation

Reference 43

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Observation cb2bf29e-c51d-4d04-a501-ef6f6fa8339c · outbound

This paper cites SemEval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation.

Machine Understanding of Scientific Language SemEval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation

Reference 44

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Observation 1db32501-6a77-41ac-bf53-7487fdea2126 · outbound

This paper cites K., F EIGENBLAT , G., H OVY, E.

Machine Understanding of Scientific Language K., F EIGENBLAT , G., H OVY, E

Reference 45

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Observation 19ae7c82-fc2d-4183-9ad6-0510a54d363c · outbound

This paper cites Decon- textualization: Making Sentences Stand-Alone.

Machine Understanding of Scientific Language Decon- textualization: Making Sentences Stand-Alone

Reference 46

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Observation 25e2a297-8d50-4598-bad4-0224f873e27d · outbound

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Machine Understanding of Scientific Language Unresolved cited work

Reference 47

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Observation 21a2c5c3-229c-4059-9492-b6c2e638f546 · outbound

This paper cites Structural Scaffolds for Citation Intent Classification in Scientific Publications.

Machine Understanding of Scientific Language Structural Scaffolds for Citation Intent Classification in Scientific Publications

Reference 48

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Observation db54222c-f0a5-443b-90b9-5124f4a3e39d · outbound

This paper cites SPECTER: Document- level representation learning using citation-informed transformers.

Machine Understanding of Scientific Language SPECTER: Document- level representation learning using citation-informed transformers

Reference 49

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Observation d8701a84-a636-40c8-9352-5d7b370cebfd · outbound

This paper cites A supervised approach to extractive summarisation of scientific papers.

Machine Understanding of Scientific Language A supervised approach to extractive summarisation of scientific papers

Reference 50

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Observation 3f139284-6e7f-4f13-93ae-3e5c4cb54b66 · outbound

This paper cites Science reporting to the public: Does the message get twisted? CMAJ 170, 9 (2004), 1415–1416.

Machine Understanding of Scientific Language Science reporting to the public: Does the message get twisted? CMAJ 170, 9 (2004), 1415–1416

Reference 51

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Observation fd8ce4a4-8fe2-486a-b809-009fe429564d · outbound

This paper cites Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.

Machine Understanding of Scientific Language Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:39.457941Z

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Observation ea0b10df-bfd3-45cd-98d2-3f4892e1bc00 · outbound

This paper cites The PASCAL Recognising Textual Entailment Challenge.

Machine Understanding of Scientific Language The PASCAL Recognising Textual Entailment Challenge

Reference 53

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Observation 4c0359d5-2716-4e0f-ab91-485d8990bf5c · outbound

This paper cites Ginger cannot cure cancer: Battling fake health news with a comprehensive data repository.

Machine Understanding of Scientific Language Ginger cannot cure cancer: Battling fake health news with a comprehensive data repository

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:39.691003Z

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Observation 3bff89b0-ae18-4e53-a933-953a1f82584c · outbound

This paper cites We Can Explain Y our Research in Layman’s Terms: Towards Automating Science Journalism at Scale.

Machine Understanding of Scientific Language We Can Explain Y our Research in Layman’s Terms: Towards Automating Science Journalism at Scale

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:39.766669Z

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Observation 353e5291-b505-466c-bfb1-042cbea7c288 · outbound

This paper cites Frustratingly Easy Domain Adaptation.

Machine Understanding of Scientific Language Frustratingly Easy Domain Adaptation

Reference 56

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Observation b7f0fbd6-915a-4152-a6c3-d3868082e3d8 · outbound

This paper cites P ., AND SKENE , A.

Machine Understanding of Scientific Language P ., AND SKENE , A

Reference 57

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Observation 75f9dc21-6336-4ba1-9364-15d94e9e67d3 · outbound

This paper cites Positive and Unlabeled Examples Help Learning.

Machine Understanding of Scientific Language Positive and Unlabeled Examples Help Learning

Reference 58

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Observation 200431ce-ac82-4510-8b31-124cf082ca09 · outbound

This paper cites E., AND QUATTROCIOCCHI , W.

Machine Understanding of Scientific Language E., AND QUATTROCIOCCHI , W

Reference 59

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Observation 2d8fa9ec-ec65-42ca-a20c-5f3d3c86bbae · outbound

This paper cites Transforming Question Answering Datasets Into Natural Language Inference Datasets.

Machine Understanding of Scientific Language Transforming Question Answering Datasets Into Natural Language Inference Datasets

Reference 60

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Observation b614938c-ba0d-4387-849f-37d208d0d7fe · outbound

This paper cites PAC Learning From Positive Statistical Queries.

Machine Understanding of Scientific Language PAC Learning From Positive Statistical Queries

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:40.535706Z

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Observation e72f89ac-91cc-43ba-9a34-ccf45e276e15 · outbound

This paper cites BERT: Pre-Training of Deep Bidi- rectional Transformers for Language Understanding.

Machine Understanding of Scientific Language BERT: Pre-Training of Deep Bidi- rectional Transformers for Language Understanding

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:40.567100Z

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Observation 33d64a73-0aca-45c4-81c1-c3cf2c2361f1 · outbound

This paper cites MS2: Multi-Document Summarization of Medical Studies.

Machine Understanding of Scientific Language MS2: Multi-Document Summarization of Medical Studies

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:40.600678Z

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Observation 17103ccb-55c7-4ae3-9589-8a8345b3dde7 · outbound

This paper cites Semantics Preserving Adversarial Learning.

Machine Understanding of Scientific Language Semantics Preserving Adversarial Learning

Reference 64

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Observation f800b85e-8161-4fd7-be9d-bbda781d498e · outbound

This paper cites I., L EAMAN , R., AND LU, Z.

Machine Understanding of Scientific Language I., L EAMAN , R., AND LU, Z

Reference 65

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Observation 762f8f3b-a01a-4da5-af12-c506a02446d6 · outbound

This paper cites Semi-supervised Domain Adaptation with Instance Constraints.

Machine Understanding of Scientific Language Semi-supervised Domain Adaptation with Instance Constraints

Reference 66

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Machine Understanding of Scientific Language C., N IU, G., AND SUGIYAMA , M

Reference 67

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Observation a11e240e-652b-4cae-ae66-955720e17b63 · outbound

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Machine Understanding of Scientific Language Question Generation for Question Answer- ing

Reference 68

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Machine Understanding of Scientific Language Crowdsourcing Semantic Label Propagation in Relation Classification

Reference 69

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This paper cites HotFlip: White-Box Adversarial Examples for Text Classification.

Machine Understanding of Scientific Language HotFlip: White-Box Adversarial Examples for Text Classification

Reference 70

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Machine Understanding of Scientific Language Learning Classifiers From Only Positive and Unlabeled Data

Reference 71

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Machine Understanding of Scientific Language Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims

Reference 72

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Machine Understanding of Scientific Language U., P ING , Z., L I, Y., XU, Y., ET AL

Reference 73

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Machine Understanding of Scientific Language A High-Quality Gold Standard for Citation- Based Tasks

Reference 74

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Machine Understanding of Scientific Language To Cite, or Not to Cite? Detecting Citation Contexts in Text

Reference 75

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Machine Understanding of Scientific Language R., AND MANNING , C

Reference 76

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Machine Understanding of Scientific Language Communicating uncertainty: Fulfilling the duty to inform

Reference 77

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Observation 2d8a5e77-f9c6-49c5-9a23-c57573b86567 · outbound

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Machine Understanding of Scientific Language Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning

Reference 78

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Machine Understanding of Scientific Language Linear mixed-effects model

Reference 79

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Machine Understanding of Scientific Language Unsupervised Domain Adaptation by Backpropagation

Reference 80

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Machine Understanding of Scientific Language PPDB: The paraphrase database

Reference 81

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Machine Understanding of Scientific Language Universal Adversarial Perturbation for Text Classification

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:31:42.253384Z

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Observation c41dd484-00c2-49c6-9b5f-e95860c5fb38 · outbound

This paper cites A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates.

Machine Understanding of Scientific Language A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates

Reference 83

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Machine Understanding of Scientific Language I., L IU, V., H UANG , S., L EE, J., AND CHILTON , L

Reference 84

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Observation a6f3a752-53f5-452e-a661-ca832be03e3a · outbound

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Machine Understanding of Scientific Language Unresolved cited work

Reference 85

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Machine Understanding of Scientific Language Unresolved cited work

Reference 86

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Machine Understanding of Scientific Language J., S HLENS , J., AND SZEGEDY, C

Reference 87

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Machine Understanding of Scientific Language L., Z HOU, K., P ATEL, K., H ASHIMOTO , T., AND BERNSTEIN , M

Reference 88

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This paper cites Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation.

Machine Understanding of Scientific Language Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation

Reference 89

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Observation 0dcc95b9-2871-4579-b885-547428521d38 · outbound

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Machine Understanding of Scientific Language The Rise of Fact-Checking Sites in Europe

Reference 90

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Observation fe3b4378-bfa7-4bc2-9f90-27587df2e6d9 · outbound

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Machine Understanding of Scientific Language Part-of-Speech Tagging for Twitter with Adversarial Neural Networks

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:40.741547Z

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Machine Understanding of Scientific Language Multi-Source Domain Adaptation with Mixture of Experts

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:40.746248Z

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Observation 996965c8-54c4-4f43-a1ba-ae5a14f2d896 · outbound

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Machine Understanding of Scientific Language S., AND VLACHOS , A

Reference 93

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Observation f8dd9863-e818-4068-95f0-8d3b2a947913 · outbound

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Machine Understanding of Scientific Language Unresolved cited work

Reference 94

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Observation 57e3b274-89bd-449b-a463-93a34f0bc953 · outbound

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Machine Understanding of Scientific Language Unresolved cited work

Reference 95

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Machine Understanding of Scientific Language Unsupervised Domain Adaptation of Contextualized Embed- dings: A Case Study in Early Modern English

Reference 96

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Observation d5acaa70-d0a8-4d1a-9441-3d67da44e651 · outbound

This paper cites Neural Check-Worthiness Ranking With Weak Supervision: Finding Sentences for Fact-Checking.

Machine Understanding of Scientific Language Neural Check-Worthiness Ranking With Weak Supervision: Finding Sentences for Fact-Checking

Reference 97

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Unavailable: canonical work link unavailable.

Observation bda4494d-f087-4e71-bd9c-5b7b18d7e4ba · outbound

This paper cites A Survey on Stance Detection for Mis- and Disinformation Identification, 2021.

Machine Understanding of Scientific Language A Survey on Stance Detection for Mis- and Disinformation Identification, 2021

Reference 98

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Observation dcc1d3ff-69db-45da-9fca-6a8883ae889a · outbound

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Machine Understanding of Scientific Language Cross-Domain Label- Adaptive Stance Detection

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T21:31:40.778568Z

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Observation aedad9f7-da0f-41c0-840f-b1bb107883ac · outbound

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Machine Understanding of Scientific Language Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

Reference 100

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