CoChat
Sign Up
Cited by 422

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

Luan, Yi, He, Luheng, Ostendorf, Mari, Hajishirzi, Hannaneh·2018·Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
DOI 10.18653/v1/d18-1360
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.18653/v1/d18-1360

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 45

  1. Amjad Abu-Jbara and Dragomir Radev. 2011. Co- herent citation-based summarization of scientific pa- pers. In Proc. Annual Meeting of the Association for Computational Linguistics: Human Language Tech- nologies. volume 1, pages 500-509.
  2. Heike Adel and Hinrich Schütze. 2017. Global normal- ization of convolutional neural networks for joint en- tity and relation classification. In Proc. Conf. Empir- ical Methods Natural Language Process. (EMNLP). pages 1723-1729.
  3. Waleed Ammar, Dirk Groeneveld, Chandra Bhagavat- ula, Iz Beltagy, Miles Crawford, Doug Downey, Ja- son Dunkelberger, Ahmed Elgohary, Sergey Feld- man, Vu Ha, et al. 2018. Construction of the litera- ture graph in semantic scholar. In Proc. Conf. North American Assoc. for Computational Linguistics: Hu- man Language Technologies (NAACL-HLT), (Indus- try Papers). pages 84-91.
  4. Waleed Ammar, Matthew Peters, Chandra Bhagavat- ula, and Russell Power. 2017. The ai2 system at semeval-2017 task 10 (scienceie): semi-supervised end-to-end entity and relation extraction. In Proc. Int. Workshop on Semantic Evaluation (SemEval). pages 592-596.
  5. Ashton Anderson, Dan McFarland, and Dan Jurafsky. 2012. Towards a computational history of the ACL: 1980-2008. In Proc. ACL Special Workshop on Re- discovering 50 Years of Discoveries. pages 13-21.
  6. Awais Athar and Simone Teufel. 2012a. Context- enhanced citation sentiment detection. In Proc. Conf. North American Assoc. for Computational Lin- guistics: Human Language Technologies (NAACL- HLT). pages 597-601.
  7. Awais Athar and Simone Teufel. 2012b. Detection of implicit citations for sentiment detection. In Proc. ACL Workshop on Detecting Structure in Scholarly Discourse. pages 18-26.
  8. Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, and Andrew McCallum. 2017. Semeval 2017 task 10: ScienceIE -extracting keyphrases and relations from scientific publications. In Proc. Int. Workshop on Semantic Evaluation (Se- mEval).
  9. Isabelle Augenstein and Anders Søgaard. 2017. Multi- task learning of keyphrase boundary classification. In Proc. Annu. Meeting Assoc. for Computational Linguistics (ACL). pages 341-346.
  10. Kevin Clark and Christopher D. Manning. 2016. Improving coreference resolution by learning entity-level distributed representations. CoRR abs/1606.01323. · arXiv
  11. Ronan Collobert and Jason Weston. 2008. A unified architecture for natural language processing: Deep neural networks with multitask learning. In Proc. Int. Conf. Machine Learning (ICML). pages 160- 167.
  12. Huy Hoang Nhat Do, Muthu Kumar Chandrasekaran, Philip S Cho, and Min Yen Kan. 2013. Extracting and matching authors and affiliations in scholarly documents. In Proc. ACM/IEEE-CS Joint Confer- ence on Digital libraries. pages 219-228.
  13. Kata Gábor, Davide Buscaldi, Anne-Kathrin Schu- mann, Behrang QasemiZadeh, Haïfa Zargayouna, and Thierry Charnois. 2018. Semeval-2018 Task 7: Semantic relation extraction and classification in sci- entific papers. In Proc. Int. Workshop on Semantic Evaluation (SemEval).
  14. Kata Gabor, Haifa Zargayouna, Davide Buscaldi, Is- abelle Tellier, and Thierry Charnois. 2016. Se- mantic annotation of the ACL anthology corpus for the automatic analysis of scientific literature. In Proc. Language Resources and Evaluation Confer- ence (LREC).
  15. Kata Gábor, Haïfa Zargayouna, Isabelle Tellier, Davide Buscaldi, and Thierry Charnois. 2016. Unsuper- vised relation extraction in specialized corpora using sequence mining. In International Symposium on In- telligent Data Analysis. Springer, pages 237-248.
  16. Yarin Gal and Zoubin Ghahramani. 2016. A theoret- ically grounded application of dropout in recurrent neural networks. In Proc. Annu. Conf. Neural In- form. Process. Syst. (NIPS).
  17. Sonal Gupta and Christopher D Manning. 2011. An- alyzing the dynamics of research by extracting key aspects of scientific papers. In Proc. IJCNLP. pages 1-9.
  18. Luheng He, Kenton Lee, Omer Levy, and Luke Zettle- moyer. 2018. Jointly predicting predicates and argu- ments in neural semantic role labeling. In ACL.
  19. Kokil Jaidka, Muthu Kumar Chandrasekaran, Beat- riz Fisas Elizalde, Rahul Jha, Christopher Jones, Min-Yen Kan, Ankur Khanna, Diego Molla-Aliod, Dragomir R Radev, Francesco Ronzano, et al. 2014. The computational linguistics summarization pilot task. In Proc. Text Analysis Conference.
  20. Arzoo Katiyar and Claire Cardie. 2017. Going out on a limb: Joint extraction of entity mentions and relations without dependency trees. In Proc. Annu. Meeting Assoc. for Computational Linguistics (ACL). volume 1, pages 917-928.
  21. Sigrid Klerke, Yoav Goldberg, and Anders Søgaard. 2016. Improving sentence compression by learning to predict gaze. In HLT-NAACL.
  22. Kenton Lee, Luheng He, Mike Lewis, and Luke S. Zettlemoyer. 2017. End-to-end neural coreference resolution. In EMNLP.
  23. Kenton Lee, Luheng He, and Luke Zettlemoyer. 2018. Higher-order coreference resolution with coarse-to- fine inference. In NAACL.
  24. Yi Luan, Chris Brockett, Bill Dolan, Jianfeng Gao, and Michel Galley. 2017a. Multi-task learning for speaker-role adaptation in neural conversation mod- els. In Proc. IJCNLP.
  25. Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, and Boyang Li. 2016. Multiplicative representations for unsupervised semantic role induction. In Proc. Annu. Meeting Assoc. for Computational Linguistics (ACL). page 118.
  26. Yi Luan, Mari Ostendorf, and Hannaneh Hajishirzi. 2017b. Scientific information extraction with semi- supervised neural tagging. In Proc. Conf. Empirical Methods Natural Language Process. (EMNLP).
  27. Yi Luan, Mari Ostendorf, and Hannaneh Hajishirzi. 2018. The uwnlp system at semeval-2018 task 7: Neural relation extraction model with selectively in- corporated concept embeddings. In Proc. Int. Work- shop on Semantic Evaluation (SemEval). pages 788- 792.
  28. Makoto Miwa and Mohit Bansal. 2016. End-to-end re- lation extraction using lstms on sequences and tree structures. In Proc. Annu. Meeting Assoc. for Com- putational Linguistics (ACL). pages 1105-1116.
  29. Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih. 2017. Cross-sentence n-ary relation extraction with graph lstms. Trans. Assoc. for Computational Linguistics (TACL) 5:101- 115.
  30. Matthew Peters, Waleed Ammar, Chandra Bhagavat- ula, and Russell Power. 2017. Semi-supervised se- quence tagging with bidirectional language models. In Proc. Annu. Meeting Assoc. for Computational Linguistics (ACL). volume 1, pages 1756-1765.
  31. Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018. Deep contextualized word repre- sentations. In NAACL.
  32. Behrang QasemiZadeh and Anne-Kathrin Schumann. 2016. The ACL RD-TEC 2.0: A language resource for evaluating term extraction and entity recognition methods. In LREC.
  33. Chris Quirk and Hoifung Poon. 2017. Distant su- pervision for relation extraction beyond the sen- tence boundary. In Proc. European Chapter Assoc. for Computational Linguistics (EACL). pages 1171- 1182.
  34. Marek Rei. 2017. Semi-supervised multitask learning for sequence labeling. In Proc. Annu. Meeting As- soc. for Computational Linguistics (ACL).
  35. Yanchuan Sim, Noah A Smith, and David A Smith. 2012. Discovering factions in the computational lin- guistics community. In Proc. ACL Special Workshop on Rediscovering 50 Years of Discoveries. pages 22- 32.
  36. Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, and Andrew McCallum. 2013. Joint infer- ence of entities, relations, and coreference. In Proc. of the 2013 workshop on Automated knowledge base construction. ACM, pages 1-6.
  37. Pontus Stenetorp, Sampo Pyysalo, Goran Topić, Tomoko Ohta, Sophia Ananiadou, and Jun'ichi Tsu- jii. 2012. Brat: a web-based tool for nlp-assisted text annotation. In Proc. European Chapter Assoc. for Computational Linguistics (EACL). pages 102- 107.
  38. Swabha Swayamdipta, Sam Thomson, Chris Dyer, and Noah A. Smith. 2017. Frame-semantic parsing with softmax-margin segmental rnns and a syntactic scaf- fold. CoRR abs/1706.09528. · arXiv
  39. Chen-Tse Tsai, Gourab Kundu, and Dan Roth. 2013. Concept-based analysis of scientific literature. In Proc. ACM Int. Conference on Information & Knowl- edge Management. ACM, pages 1733-1738.
  40. Adam Vogel and Dan Jurafsky. 2012. He said, she said: Gender in the ACL anthology. In Proc. ACL Special Workshop on Rediscovering 50 Years of Discoveries. pages 33-41.
  41. Sam Wiseman, Alexander M. Rush, and Stuart M. Shieber. 2016. Learning global features for coref- erence resolution. In HLT-NAACL.
  42. Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, and Zhi Jin. 2016. Improved rela- tion classification by deep recurrent neural networks with data augmentation. In Proc. Int. Conf. Compu- tational Linguistics (COLING). pages 1461-1470.
  43. Congle Zhang, Stephen Soderland, and Daniel S. Weld. 2015. Exploiting parallel news streams for unsuper- vised event extraction. TACL 3:117-129.
  44. Meishan Zhang, Yue Zhang, and Guohong Fu. 2017. End-to-end neural relation extraction with global op- timization. In Proc. Conf. Empirical Methods Natu- ral Language Process. (EMNLP). pages 1730-1740.
  45. Suncong Zheng, Feng Wang, Hongyun Bao, Yuexing Hao, Peng Zhou, and Bo Xu. 2017. Joint extrac- tion of entities and relations based on a novel tag- ging scheme. In Proc. Annu. Meeting Assoc. for Computational Linguistics (ACL). volume 1, pages 1227-1236.

Cited by

Sorted by citations

See all 422

Metadata

Authors
Luan, Y., He, L., Ostendorf, M., & Hajishirzi, H.
Venue
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Publisher
Association for Computational Linguistics
Published
2018
Pages
3219-3232
DOI
10.18653/v1/d18-1360
Cited by
422
References
3

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review