Paper Citation Record · LEDGER

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.08419.

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

pith.paper-citation-record.v1
1908.08419 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:44:33.673044Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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External citation measurements

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Outbound references

Observation 8573eec1-bbb8-408d-bbf5-d72ac2dc977e · outbound

This paper cites Machine Learning 2(4), 319–342 (1988).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Machine Learning 2(4), 319–342 (1988)

Reference 1

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Observation cbce7a6b-1cc0-45d5-b5b2-7ebf9e204744 · outbound

This paper cites IEEE Transactions on Neural Networks 5(2), 157–166 (1994).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs IEEE Transactions on Neural Networks 5(2), 157–166 (1994)

Reference 2

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Observation 7494a276-e7ae-4eb5-8d35-eb63d09cc3af · outbound

This paper cites In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp

Reference 3

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Observation 81a7697b-716e-440a-be0a-027f7e7a4f51 · outbound

This paper cites IEEE Access 8, 16387–16396 (2020).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs IEEE Access 8, 16387–16396 (2020)

Reference 4

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Observation c4fb7852-26cb-460b-a1ae-683865b6c120 · outbound

This paper cites Journal of Machine Learning Research 12(Aug), 2493–2537 (2011).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Journal of Machine Learning Research 12(Aug), 2493–2537 (2011)

Reference 5

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Observation aec0c18d-72e4-41f1-a793-649b3497f544 · outbound

This paper cites Bioinformat- ics (Oxford, England) 14(9), 755–763 (1998).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Bioinformat- ics (Oxford, England) 14(9), 755–763 (1998)

Reference 6

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Observation 546d7002-80d0-4442-98a6-335d79055e7d · outbound

This paper cites Investigating Self-Attention Network for Chinese Word Segmentation.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Investigating Self-Attention Network for Chinese Word Segmentation

Reference 7

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Observation f9a3e97d-6594-4e40-b8fb-40ef2c63c97a · outbound

This paper cites Procedia Computer Science 124, 544–551 (2017) 12 Tingting Cai et al.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Procedia Computer Science 124, 544–551 (2017) 12 Tingting Cai et al

Reference 8

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Observation dda15806-14e9-430f-b6d9-ac9f92cff590 · outbound

This paper cites In: Advances in neural informa- tion processing systems, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Advances in neural informa- tion processing systems, pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:34.100541Z

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Observation b98a0812-c652-494d-a4c7-5cca646ee394 · outbound

This paper cites word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method

Reference 10

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Observation 4ae4e0da-13c5-48c1-aeaf-46691ea036d9 · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Bayesian Active Learning for Classification and Preference Learning

Reference 11

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This paper cites In: International Conference on Learning Representations (2018).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: International Conference on Learning Representations (2018)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:34.089485Z

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Observation 08e88166-402f-47ac-b763-8d839c38d7be · outbound

This paper cites Scientiﬁc Programming 2018, 1–10 (2018).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Scientiﬁc Programming 2018, 1–10 (2018)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:34.078021Z

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Observation f0f3f7e4-0f8b-4f19-8c9b-30cf918fbde6 · outbound

This paper cites A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation

Reference 14

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Observation 6052095d-bbd3-486d-8737-4a6ef4c5b60d · outbound

This paper cites Neural Computing and Applications 32(1), 41–49 (2020).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Neural Computing and Applications 32(1), 41–49 (2020)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:34.067849Z

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Observation aaba4f82-7012-440d-ac37-8d05cbcc82cb · outbound

This paper cites In: Proceedings of the Eighteenth International Conference on Machine Learning, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the Eighteenth International Conference on Machine Learning, pp

Reference 16

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Observation f7cde7cf-f88e-4bc7-b4d7-ce1bdd83c22a · outbound

This paper cites In: IEEE International Conference on Bioinformatics and Biomedicine, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: IEEE International Conference on Bioinformatics and Biomedicine, pp

Reference 17

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Observation 88a2067b-342e-4f4b-90db-32afed14a7aa · outbound

This paper cites In: Proceedings of the 17th An- nual International Conference on Research and Develop- ment in Information Retrieval, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the 17th An- nual International Conference on Research and Develop- ment in Information Retrieval, pp

Reference 18

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This paper cites In: Proceedings of International Conference on Computational Linguistics 2012: Posters, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of International Conference on Computational Linguistics 2012: Posters, pp

Reference 19

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Observation 5f88e9dc-5dfd-4994-8e86-c7c60c6fbfc2 · outbound

This paper cites Neurocomput- ing 338, 46–54 (2019).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Neurocomput- ing 338, 46–54 (2019)

Reference 20

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Observation 1f65a353-f03a-4815-9bea-790a9822ac03 · outbound

This paper cites LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs LTP: A New Active Learning Strategy for CRF-Based Named Entity Recognition

Reference 21

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This paper cites In: Proceedings of the 2018 Conference on Empirical Methods in Natural Lan- guage Processing, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the 2018 Conference on Empirical Methods in Natural Lan- guage Processing, pp

Reference 22

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Observation 6f89b39a-a4af-412b-a396-50b183433ed0 · outbound

This paper cites In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp

Reference 23

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This paper cites In: Proceedings of the 20th international conference on Computational Linguistics, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the 20th international conference on Computational Linguistics, pp

Reference 24

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This paper cites IEEE Access 7, 12993–13002 (2019).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs IEEE Access 7, 12993–13002 (2019)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.961887Z

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This paper cites In: CIPS-SIGHAN Joint Conference on Chinese Language Processing (2010).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: CIPS-SIGHAN Joint Conference on Chinese Language Processing (2010)

Reference 26

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This paper cites Journal of Machine Learn- ing Research 15(1), 1929–1958 (2014).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Journal of Machine Learn- ing Research 15(1), 1929–1958 (2014)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.939722Z

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This paper cites Neural Computing and Applications (2020).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Neural Computing and Applications (2020)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.928901Z

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Observation 65d1c2cf-29f5-4b1a-8879-f56a8cc259bc · outbound

This paper cites Recognizing Chinese Judicial Named Entity using BiLSTM-CRF.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Recognizing Chinese Judicial Named Entity using BiLSTM-CRF

Reference 29

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Observation 0fcf3d56-0f58-4073-97ea-11f2ca029ff1 · outbound

This paper cites Institution of Engineering and Technology Computer Vision 13(2), 194–205 (2018).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Institution of Engineering and Technology Computer Vision 13(2), 194–205 (2018)

Reference 30

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This paper cites In: Advances in Neural Information Processing Systems, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Advances in Neural Information Processing Systems, pp

Reference 31

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This paper cites Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation

Reference 32

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This paper cites Journal of biomedical informatics 92, 103–133 (2019).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Journal of biomedical informatics 92, 103–133 (2019)

Reference 33

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This paper cites In: Proceedings of the 27th International Conference on Computational Linguistics, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the 27th International Conference on Computational Linguistics, pp

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.882039Z

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Observation 354800f7-0cd6-451a-8a1b-bb96a9c55299 · outbound

This paper cites In: Proceedings of the second SIGHAN workshop on Chinese language processing-Volume 17, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the second SIGHAN workshop on Chinese language processing-Volume 17, pp

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.870072Z

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Observation 4024cd67-4528-4487-8e18-4f95164a86d6 · outbound

This paper cites In: National CCF Conference on Natural Language Pro- cessing and Chinese Computing, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: National CCF Conference on Natural Language Pro- cessing and Chinese Computing, pp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.855768Z

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This paper cites Acta Au- tomatica Sinica 40(8), 1537–1562 (2014).

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs Acta Au- tomatica Sinica 40(8), 1537–1562 (2014)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.844390Z

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Observation 2dacbe58-04e1-4727-ab61-16478258b4a6 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.832950Z

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Observation d3c77025-39c3-4dc0-bd5a-8eaa499c9f3c · outbound

This paper cites In: Proceedings of the 20th Paciﬁc Asia Conference on Language, Information and Computation, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the 20th Paciﬁc Asia Conference on Language, Information and Computation, pp

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.820886Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d338858f-f1cf-4ab8-a99f-9768be5406be · outbound

This paper cites In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp.

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:44:33.808984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.