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Paper Citation Record · LEDGER

A survey on cutting-edge relation extraction techniques based on language models

As of 13 August 2026, this Paper Citation Record lists 100 of 160 outbound references and 1 inbound Pith citation observation for arXiv:2411.18157.

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

pith.paper-citation-record.v1
2411.18157 v1

Coverage vector

measured 100 of 160 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:29:40.618056Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:15:30.460469Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:15:32.780952Z

Reference resolution

100 of 160 outbound references displayed

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  • verified fuzzy0
  • unresolved70
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  • malformed identifier6
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External citation measurements

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Outbound references

Observation 812cddfe-5733-407b-b885-cafee0d47633 · outbound

This paper cites In: Proceedings of the second workshop on EVENTS: Definition, detection, coreference, and representation.

A survey on cutting-edge relation extraction techniques based on language models In: Proceedings of the second workshop on EVENTS: Definition, detection, coreference, and representation

Reference 1

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Observation 97c177f4-b2bb-43d0-9948-b63f04fd6af1 · outbound

This paper cites TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task.

A survey on cutting-edge relation extraction techniques based on language models TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

Reference 3

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Observation eb89f460-7b13-44c9-b496-b66cec5c8707 · outbound

This paper cites In: Proceedings of the 57th Annual Meeting of the Associa- tion for Computational Linguistics.

A survey on cutting-edge relation extraction techniques based on language models In: Proceedings of the 57th Annual Meeting of the Associa- tion for Computational Linguistics

Reference 4

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This paper cites In: Hämäläinen, M., Alnajjar, K., Partanen, N., Rueter, J.

A survey on cutting-edge relation extraction techniques based on language models In: Hämäläinen, M., Alnajjar, K., Partanen, N., Rueter, J

Reference 5

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Observation 87100655-dd07-4e8d-8306-09f753a71588 · outbound

This paper cites Sensors 22(13), 4911 (2022).

A survey on cutting-edge relation extraction techniques based on language models Sensors 22(13), 4911 (2022)

Reference 6

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Observation 4fb9b435-bab1-4f89-bb9f-944f7c83454a · outbound

This paper cites In: Louvan, S., Madotto, A., Madureira, B.

A survey on cutting-edge relation extraction techniques based on language models In: Louvan, S., Madotto, A., Madureira, B

Reference 7

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This paper cites Nature ge- netics 36(5), 431–432 (2004).

A survey on cutting-edge relation extraction techniques based on language models Nature ge- netics 36(5), 431–432 (2004)

Reference 8

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Observation 40e5d3a5-e2a1-4bcb-8871-5dee9e9f57dc · outbound

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

A survey on cutting-edge relation extraction techniques based on language models SciBERT: A Pretrained Language Model for Scientific Text

Reference 9

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Observation ddb61e0d-aa43-456b-bcf1-42a434232e92 · outbound

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

A survey on cutting-edge relation extraction techniques based on language models In: Advances in Neural Information Processing Systems

Reference 10

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This paper cites BMC bioinformatics16, 1–17 (2015).

A survey on cutting-edge relation extraction techniques based on language models BMC bioinformatics16, 1–17 (2015)

Reference 11

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This paper cites In: Moens, M.F., Huang, X., Specia, L., Yih, S.W.t.

A survey on cutting-edge relation extraction techniques based on language models In: Moens, M.F., Huang, X., Specia, L., Yih, S.W.t

Reference 12

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A survey on cutting-edge relation extraction techniques based on language models Unresolved cited work

Reference 13

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A survey on cutting-edge relation extraction techniques based on language models In: Toutanova, K., Rumshisky, A., Zettlemoyer, L., Hakkani-Tur, D., Beltagy, I., Bethard, S., Cotterell, R., Chakraborty, T., Zhou, Y

Reference 14

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A survey on cutting-edge relation extraction techniques based on language models In: Rogers, A., Boyd-Graber, J., Okazaki, N

Reference 15

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A survey on cutting-edge relation extraction techniques based on language models In: Wu, D., Carpuat, M., Carreras, X., Vecchi, E.M

Reference 16

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Reference 17

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A survey on cutting-edge relation extraction techniques based on language models Biomedical informatics insights10, 1178222618792860 (2018)

Reference 18

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A survey on cutting-edge relation extraction techniques based on language models In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 19

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A survey on cutting-edge relation extraction techniques based on language models Two Training Strategies for Improving Relation Extraction over Universal Graph

Reference 20

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A survey on cutting-edge relation extraction techniques based on language models In: Merlo, P., Tiedemann, J., Tsarfaty, R

Reference 21

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A survey on cutting-edge relation extraction techniques based on language models In: Precup, D., Teh, Y.W

Reference 22

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A survey on cutting-edge relation extraction techniques based on language models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 23

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A survey on cutting-edge relation extraction techniques based on language models International Journal of Computational Intelligence Systems17(1), 93 (2024)

Reference 24

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A survey on cutting-edge relation extraction techniques based on language models The Llama 3 Herd of Models

Reference 25

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A survey on cutting-edge relation extraction techniques based on language models In: Merlo, P., Tiedemann, J., Tsarfaty, R

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A survey on cutting-edge relation extraction techniques based on language models In: Merlo, P., Tiedemann, J., Tsarfaty, R

Reference 27

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A survey on cutting-edge relation extraction techniques based on language models In: Merlo, P., Tiedemann, J., Tsarfaty, R

Reference 28

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A survey on cutting-edge relation extraction techniques based on language models In: 55th annual meeting of the Association for Computational Linguistics (ACL) (2017) 40 Diaz-Garcia and Amador Diaz Lopez

Reference 29

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A survey on cutting-edge relation extraction techniques based on language models ACM Trans- actions on Computing for Healthcare (HEALTH)3(1), 1–23 (2021)

Reference 30

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A survey on cutting-edge relation extraction techniques based on language models Journal of biomedical informatics45(5), 885–892 (2012)

Reference 32

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A survey on cutting-edge relation extraction techniques based on language models In: Rogers, A., Boyd-Graber, J., Okazaki, N

Reference 33

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A survey on cutting-edge relation extraction techniques based on language models In: Moens, M.F., Huang, X., Specia, L., Yih, S.W.t

Reference 34

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A survey on cutting-edge relation extraction techniques based on language models In: Goldberg,Y.,Kozareva,Z.,Zhang,Y.(eds.)FindingsoftheAssociationforComputationalLinguistics: EMNLP 2022

Reference 35

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A survey on cutting-edge relation extraction techniques based on language models In: Proceedings of the AAAI conference on artificial intelligence

Reference 36

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A survey on cutting-edge relation extraction techniques based on language models In: Wong, K.F., Knight, K., Wu, H

Reference 37

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A survey on cutting-edge relation extraction techniques based on language models OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction

Reference 38

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A survey on cutting-edge relation extraction techniques based on language models Applied Intelligence 53(9), 10602–10635 (2023)

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A survey on cutting-edge relation extraction techniques based on language models A Multi-Axis Annotation Scheme for Event Temporal Relations

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A survey on cutting-edge relation extraction techniques based on language models The Journal of Machine Learning Research 21(1), 5485–5551 (2020)

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A survey on cutting-edge relation extraction techniques based on language models International Journal of Computer Applications134(8), 6–9 (2016)

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