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Paper Citation Record · LEDGER

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools

As of 11 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2501.16112.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.16112 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:45:29.101247Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8155bb11-5963-4aac-8621-4f55b02d2667 · outbound

This paper cites Get- ting more out of biomedical documents with GATE’s full lifecycle open source text analytics.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Get- ting more out of biomedical documents with GATE’s full lifecycle open source text analytics

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.897354Z digest=sha256:23917eb7ebcef6ab87672ac9ea5e4597539f3e16c5e42a12202aca30a1fbac68

Observation 7b6a1f37-b541-4b5b-91db-48c90d1ff655 · outbound

This paper cites Gudivada and Kamyar Arbabifard.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Gudivada and Kamyar Arbabifard

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.957834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.901744Z digest=sha256:4d176232b2d99ab1bf7aadcc718cf4ce3a140e7e56372dd01e7a50e9de8d8a47

Observation e4278cc2-afe7-4f3d-8f5b-e03fc7d959ad · outbound

This paper cites Mayo clinical Text Anal- ysis and Knowledge Extraction System (cTAKES): architecture, component evalu- ation and applications.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Mayo clinical Text Anal- ysis and Knowledge Extraction System (cTAKES): architecture, component evalu- ation and applications

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.947534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3aa758e0-96fc-4b15-be12-5ce137f89f37 · outbound

This paper cites Feature extraction method from electronic health records in Russia.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Feature extraction method from electronic health records in Russia

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.936515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.909112Z digest=sha256:15d376f30b407d17f7698b09dea41e67807afbea8e471e76e5b2bdf7b87c29b4

Observation ddafc74d-c36f-47ae-8eb9-bc8bd7511ad1 · outbound

This paper cites Med-BERT: A Pre- Training Framework for Medical Records Named Entity Recognition.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Med-BERT: A Pre- Training Framework for Medical Records Named Entity Recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.925823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.913320Z digest=sha256:6629d41af926dc659481e17e91dc0a6ff3faf01186bce96397cf2e870c813977

Observation 228fb33d-ab57-4cc3-b523-36673d010c37 · outbound

This paper cites Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem:.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem:

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.914871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.917716Z digest=sha256:80685c1e46f574cec633cf0e9dedfc0538dbb498004d5a0204eaa77e0c079dad

Observation 9fdd6244-8b27-4a16-88af-38c9adecac1b · outbound

This paper cites The dark side of information: overload, anxiety and other paradoxes and pathologies.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools The dark side of information: overload, anxiety and other paradoxes and pathologies

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.904114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.921635Z digest=sha256:acafe20f14b3005e871099b4f8ee1df7d2e1d7765fcd8bccb2517e60c19ae942

Observation cbaf1a66-208c-479a-8696-201d29b169aa · outbound

This paper cites Clinical practice guidelines we can trust.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Clinical practice guidelines we can trust

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.882750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.929511Z digest=sha256:f74311e1fd1b13544d0ca97d4b08cf820690d99ef2461306d6171c96bf1a6628

Observation feda6e34-b15d-47f4-9287-1b498cc03cd5 · outbound

This paper cites Valika, Sarah E.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Valika, Sarah E

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.872279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.933257Z digest=sha256:11a02fcc0bdcc2ac86e70bfe0a4f49ce8bb2d19c91e272f5b14b38ab2b04450d

Observation 86635e43-4851-4769-b12c-4db2080aed3d · outbound

This paper cites Towards improving clinical practice guidelines through named entity recognition: Model development and eval- uation.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Towards improving clinical practice guidelines through named entity recognition: Model development and eval- uation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.862726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.936984Z digest=sha256:fe4877cd0e0589823628541d585b8177e504e583f40ec36636263425c4c29cac

Observation 047260c0-6ede-408c-97e8-0ca93cfeb0cc · outbound

This paper cites Named entity recognition with a maximum en- tropy approach.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Named entity recognition with a maximum en- tropy approach

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.852035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.940361Z digest=sha256:45a439e896b1e3c6145a39cab5fd454255c92fe1dd2543b621cc978752f389e5

Observation a4f91a57-3f39-4198-be85-4592a49ee97c · outbound

This paper cites Named entity recog- nition through classifier combination.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Named entity recog- nition through classifier combination

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.841456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.944262Z digest=sha256:a93182d7c08ca229c2ed59c43f2e49e048fc1f1c4fe4e11bff0f5a2319356580

Observation 20be6cf8-3ae2-4524-b890-738a6ef6fe50 · outbound

This paper cites Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.831234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.947851Z digest=sha256:c0aca5574087cf6a38f713a80630b101f2ca2abf427bf37d48dcea09ee13295d

Observation adeb7543-272f-4d14-9c7d-8b58828d4543 · outbound

This paper cites Deep contextualized word representations.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Deep contextualized word representations

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:28.951605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:28.951605Z digest=sha256:7fc89ea279687df73d8585d992565c758d21063ad46de097b5649c531d83e148

Observation 8c7c94e9-9682-43e4-939e-a7d1a9ed915a · outbound

This paper cites Named entity recognition.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Named entity recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.821065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.955475Z digest=sha256:51c1bfe3b40bacd1df94430debbaed151a9e98dc9c3b5894ac4f4679bdd4c77d

Observation afd6d47c-2eba-4c31-a312-d292095f6cff · outbound

This paper cites A Survey on Deep Learning for Named Entity Recognition.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools A Survey on Deep Learning for Named Entity Recognition

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.810242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.958925Z digest=sha256:a29615a496c8d61ab7088c1024a2e5706aa5d17c813002abf448724fbe83b630

Observation 909076de-d3fc-423a-a6cb-18d7724e191c · outbound

This paper cites Classification of Machine Learning Algorithms.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Classification of Machine Learning Algorithms

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.799801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.962285Z digest=sha256:4e65bbeab97563bda5f962cd24f8e71b29650df9bf8f37577e2c3e4d4f3f0884

Observation 80c96eec-1acf-41c9-8da0-29bc1ad8410f · outbound

This paper cites A systematic review of natural language process- ing applied to radiology reports.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools A systematic review of natural language process- ing applied to radiology reports

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.789416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.965636Z digest=sha256:b19b4dfa86c6ad88bfb84e8d87c22c2666043de83bf004ccbcbe36c17acd1917

Observation 227e3cc3-4639-4492-98e6-534f7e4df095 · outbound

This paper cites RATIO: Rationalizing Recommendations (RecomRatio), 2017.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools RATIO: Rationalizing Recommendations (RecomRatio), 2017

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.779483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.969016Z digest=sha256:d2280c9e28ca3ccb726535fa6a22f3e056627c4129aac65d43143824484064f4

Observation 47031e6b-73a0-4e3d-875b-9efd9e0db9ad · outbound

This paper cites Supporting Information Retrieval of Emerging Knowledge and Argumentation.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Supporting Information Retrieval of Emerging Knowledge and Argumentation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.769133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.972584Z digest=sha256:5946c3790791fab38767a4ef11a4d2290af4a254bf78799b85508192201f6f05

Observation 4177ffae-57b4-4364-ace7-60545a2fc5fd · outbound

This paper cites Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T13:45:29.439509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.975651Z digest=sha256:9ab952b4bfad662115ef0535b24e8e5885c43b352d59863b2105d64ef23db267

Observation fab2146f-2ba8-4a55-bb31-6302515142e6 · outbound

This paper cites Artificial Intelligence for Hospitals, Healthcare & Humanity (AI4H3).

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Artificial Intelligence for Hospitals, Healthcare & Humanity (AI4H3)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.758711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.979466Z digest=sha256:f7dd0805bea71a1985fc15bd3d04d4060e668b431957b51d420970a1fc213b7c

Observation 2916de7c-0a76-4f15-a35c-b17621347cf6 · outbound

This paper cites Cie: A cloud-based information extraction system for named entity recognition in aws, azure, and medical domain.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cie: A cloud-based information extraction system for named entity recognition in aws, azure, and medical domain

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.748158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.983334Z digest=sha256:e7c498c8e0b65d48a1b2e9b7ff03b1a59367e5e162295b70e688a00912219a15

Observation e1039286-7735-44e9-a202-bdcbee71e8fc · outbound

This paper cites FIT4NER - Towards a Framework-Independent Toolkit for Named Entity Recogni- tion.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools FIT4NER - Towards a Framework-Independent Toolkit for Named Entity Recogni- tion

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.737068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.986824Z digest=sha256:b8f7e63599c2eb110847a4351477a2a75d6702b28f42a0b2d2b6e0c9eafb9453

Observation 47e61478-a4e6-48eb-928a-e64a9e74cfad · outbound

This paper cites A Replicable Comparison Study of NER Software: StanfordNLP, NLTK, OpenNLP, SpaCy, Gate.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools A Replicable Comparison Study of NER Software: StanfordNLP, NLTK, OpenNLP, SpaCy, Gate

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.726361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.990494Z digest=sha256:142893d8fe213804be35ec6b96ab41d2342f9b672b09cc4f1229d910c97debb5

Observation 357d071b-a29d-4e10-9e1f-958e1a532011 · outbound

This paper cites Bench- marking NLP Toolkits for Enterprise Application.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Bench- marking NLP Toolkits for Enterprise Application

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.715741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.994062Z digest=sha256:b66a346a351e43c8df9fc4d2349ac2d4fea7875301f241851ca9db36d10ae653

Observation 71b9d972-2fb8-4b20-9e7f-ce4f070bf7d5 · outbound

This paper cites Cloud Computing – Issues, Research and Implementations.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cloud Computing – Issues, Research and Implementations

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.704983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.997774Z digest=sha256:30990fa4f57fd4d2a51c4ceb57b1175c734608a03bfb4eb10357f0aaaf8a18d3

Observation 41674ce3-713b-4087-b843-9edc98dedc2b · outbound

This paper cites Cost-Aware Elastic Cloud Provisioning for Scientific Workloads.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cost-Aware Elastic Cloud Provisioning for Scientific Workloads

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.694558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.001592Z digest=sha256:0677130a1e31e95e7b985fc26bbe29084e5eae235246728cb4c1ccd461ba8535

Observation 3345e5da-875f-4bd4-a274-977fd8dad57b · outbound

This paper cites Nunamaker Jr, Minder Chen, and Titus D.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Nunamaker Jr, Minder Chen, and Titus D

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.005499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.005499Z digest=sha256:bfc0e667390ea917ab4963750d699b09d08d2a71c26a4eec5735cb3e08485acc

Observation 1bc43418-9c0b-448a-a379-f0d4b2e611ee · outbound

This paper cites A survey on Named Entity Recognition — datasets, tools, and methodologies.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools A survey on Named Entity Recognition — datasets, tools, and methodologies

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.683973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.009103Z digest=sha256:c8b3c7fa0debf487bcc5a089a9aeb3e2a5739ba36b4b798c93823442a0bdbbf8

Observation 59c8ffc7-0298-4c20-aed8-8e35d2fa9962 · outbound

This paper cites Bruce Croft.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Bruce Croft

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.672709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.012512Z digest=sha256:3e957a323f2db2e2439687de32dfcb187e061dd1e3db4927ab08a61cb71583e1

Observation ac1ac8fc-9763-48e1-9fd9-6c0cd9f0e319 · outbound

This paper cites An Approach for Ex- tracting Exact Answers to Question Answering (QA) System for English Sentences.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools An Approach for Ex- tracting Exact Answers to Question Answering (QA) System for English Sentences

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.662033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.016020Z digest=sha256:f8ad5b3fa6a2c98a89b3695b568e59cd1ad1d5cdb90d468f6ae96a3e9d3a3adc

Observation cc3b9290-0e5b-441d-80a7-203845e8f827 · outbound

This paper cites Transliteration normalization for information ex- traction and machine translation.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Transliteration normalization for information ex- traction and machine translation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.651652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.019762Z digest=sha256:e0affe80f36e90a401df1188674dd62d1882adecc1971e54ad021305b5caa99f

Observation 6e61fea9-53f3-4f8d-9bff-7d9065b78930 · outbound

This paper cites Weakly labeled data augmentation for social media named entity recognition.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Weakly labeled data augmentation for social media named entity recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.641013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.023348Z digest=sha256:e658995b9221d574a535a57983890855010d38b67764b947b5ee49e9df9d158b

Observation edecb656-db8a-4bfc-a31c-f1b52993a9a3 · outbound

This paper cites Clinical named entity recognition methods: an overview.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Clinical named entity recognition methods: an overview

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.630088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.027074Z digest=sha256:6e962cdf5cfe7fd3bf1efc23843a440a4b830a0b96c8a88ef2d8169ba1d0dc9f

Observation 6d1224ea-b076-433e-8c8d-b1bff0feeaf9 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.030785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.030785Z digest=sha256:5bb4babf678fad4118dfba24b4a4aaf604e9702391cf0698895c7ebf862d5163

Observation 1e1b1a4f-5143-4678-ae7f-2eb5af728b82 · outbound

This paper cites Language models are unsupervised multitask learners.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Language models are unsupervised multitask learners

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.619978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.035227Z digest=sha256:30a60d7d52c36c06ce4a15a3747465f06d72ef58bcb1cf35bbe1eff744a133e2

Observation 6b1e43c8-9700-4331-b267-00f17da62ebd · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.039089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.039089Z digest=sha256:5483f10373decb9462efffe19ccdf8f0f36351eba63372961751f6990894f257

Observation fe3697a0-391c-411e-98ca-5531dae1e10e · outbound

This paper cites Cloud-based system design.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cloud-based system design

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.610036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.042954Z digest=sha256:4afb87f58003414a01a84bc0ea6393c8ee7beea0321d6730ed288a53ad52e0a1

Observation 07965a98-0015-48c2-a8fc-9deb5d1803ed · outbound

This paper cites Cloud Computing: Today and Tomorrow.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cloud Computing: Today and Tomorrow

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.600055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.046646Z digest=sha256:36b504db624c924eefe8ef5f4fec94d715e9e207b8561f273f0c60e2db5793d2

Observation e76d12a5-938b-4f49-9cc3-92d4ee206037 · outbound

This paper cites Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms:.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms:

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.589348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.050423Z digest=sha256:89346bca25c26ac3308617ce991b76d54df7257175058e5d2582cd3a5461d1b6

Observation 97b666e6-cdfb-4bd4-b34e-e7ccfbca1434 · outbound

This paper cites Comparing the per- formance of different NLP toolkits in formal and social media text.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Comparing the per- formance of different NLP toolkits in formal and social media text

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.579545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.053885Z digest=sha256:98c8c4b443146aab625023f6c5524ad9820f5b6545e3ebd3b62c36099f139efa

Observation 4914df46-b0e8-4d76-a2ce-f862b505e77b · outbound

This paper cites Choosing an NLP Library for Analyzing Software Documentation: A Systematic Literature Review and a Series of Experiments.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Choosing an NLP Library for Analyzing Software Documentation: A Systematic Literature Review and a Series of Experiments

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.569251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.057271Z digest=sha256:9bd43b97ecf8be99cfd99bd9ed6ba5b637cc45ea5aa35be50dce4c00edd6b54c

Observation 1ba7ffff-ddd5-41c5-a029-f640ef83081a · outbound

This paper cites Ensemble Named Entity Recognition (NER): Evaluating NER Tools in the Identification of Place Names in Historical Corpora.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Ensemble Named Entity Recognition (NER): Evaluating NER Tools in the Identification of Place Names in Historical Corpora

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.558537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.060979Z digest=sha256:8830a384b42b6c42057d6af324095ba23de48d51b515bed860df8d92e8f032b4

Observation 4056c157-8a92-4d72-8108-2c4c0d3b1b32 · outbound

This paper cites Comparing open ara- bic named entity recognition tools, 2022.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Comparing open ara- bic named entity recognition tools, 2022

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.546468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.064803Z digest=sha256:7d64d7a1291c20d3b90c470e506ae58a4eee5fc7aadc3e14cf678dc1359d88f5

Observation 38c658d5-8841-4cd2-bc22-54df697ee5e8 · outbound

This paper cites Soft- ware Engineering for Machine Learning: A Case Study.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Soft- ware Engineering for Machine Learning: A Case Study

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.534917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.068545Z digest=sha256:1c0fbb2b5b57d34f84e473bd9aed84b75022b488cd2eaa28b72018b848ed4d3b

Observation 769a7961-c605-4f6f-bb84-e12ab08c0e61 · outbound

This paper cites Important Experimentation Characteristics: An Expert Survey.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Important Experimentation Characteristics: An Expert Survey

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.525109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.072546Z digest=sha256:f93b55ce22a5db9a4d3e47a34f712328d1742c77d47db2bb7a08e61e149caf1e

Observation a301aad0-c573-46b1-b9b3-df9b769dff30 · outbound

This paper cites Designing an Effective Survey.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Designing an Effective Survey

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.515061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.076210Z digest=sha256:c9cac06f902f59d9c4bc4bdcd49b5daf12b241aa2e255bc17c07a184653577f6

Observation 194b9a24-5fcf-470a-bfc8-5e875dc6e070 · outbound

This paper cites An expert survey to assess the current status and future challenges of energy system analysis.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools An expert survey to assess the current status and future challenges of energy system analysis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.503810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.079784Z digest=sha256:d3dd281f94c98de69524fab12f22904bb1b523c6a7eb203abe778bd4377bce7a

Observation 459d6e0f-e6cd-4db6-8423-785b518f6fe2 · outbound

This paper cites Relating verification and validation methods to software product quality characteristics: Re- sults of an expert survey.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Relating verification and validation methods to software product quality characteristics: Re- sults of an expert survey

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.493056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.083333Z digest=sha256:aa5c7f773d88571c15862f02066c25ad950cdf6c00e803785fd7da0e428cf122

Observation 7b11b1d0-0b55-4230-8c41-ee69188b221d · outbound

This paper cites Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.482327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.086728Z digest=sha256:26fc16d413e1b433ea5a826df4b697b917ce96be24d9e7eb3cec2fbde67ba889

Observation 41579018-4eca-470d-8ac6-ae91d4bc18ae · outbound

This paper cites GPT-4 Technical Report, March 2024.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools GPT-4 Technical Report, March 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.471704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.090500Z digest=sha256:158f07b8971940f171145398a47a0c4c60c2f7f4021675b525278fc0226b5aa9

Observation e4d5bd3e-5ef7-49d4-8db7-a9e5793e3c6c · outbound

This paper cites Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.093919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.093919Z digest=sha256:c8dd8dffac89b6dc584283bff1479d359a9e5be7491a9ae574d51a29895795b4

Observation f7396aad-d4a1-4313-8db5-be8c60389d66 · outbound

This paper cites Kurdi, Safwat Hamad, and Amal Khalifa.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Kurdi, Safwat Hamad, and Amal Khalifa

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.461128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:29.097671Z digest=sha256:1deded3d4cf92608274d9e227d5a7a4bf5833db4e13db5f9f5080b26204b73cd

Observation 1613169f-98ae-438e-af36-84fdf6a5723a · outbound

This paper cites FinGPT: Open-Source Financial Large Language Models, June 2023.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools FinGPT: Open-Source Financial Large Language Models, June 2023

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.101247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.101247Z digest=sha256:8dbc176fb775e3e3334dac28ea5058831d5029f3f5990c284a863f82f40fd1af

Observation d8b83970-1f1c-4aff-891e-98c1bb656110 · outbound

This paper cites an unresolved cited work.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Unresolved cited work

Reference 2009

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:45:29.892886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T13:45:28.925295Z digest=sha256:e7c96b4a578c26fa40f3beb8da7ab36558a00c7f738eea057bdb4472de416b88

Pith citing papers

No inbound Pith citation observations are available.