Semantic-consistent learning for one-shot joint entity and relation extraction
Tóm tắt
Từ khóa
Tài liệu tham khảo
Devlin J, Chang M, Lee K et al (2019) BERT: pre-training of deep bidirectional transformers for language understanding. In: Burstein J, Doran C, Solorio T (eds) Proceedings of the 2019 conference of the north american chapter of the association for computational linguistics: human language technologies, NAACL-HLT 2019, Minneapolis, MN, USA, 2-7 June, 2019, Vol 1 (long and short papers). Association for computational linguistics, pp 4171–4186. https://doi.org/10.18653/v1/n19-1423
Eberts M, Ulges A (2020) Span-based joint entity and relation extraction with transformer pre-training. In: Giacomo GD, Catalá A, Dilkina B et al (eds) ECAI 2020 - 24th european conference on artificial intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - including 10th conference on prestigious applications of artificial intelligence (PAIS 2020), frontiers in artificial intelligence and applications, vol 325. IOS Press, pp 2006–2013. https://doi.org/10.3233/FAIA200321
Hendrickx I, Kim SN, Kozareva Z et al (2010) Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals. In: Erk K, Strapparava C (eds) Proceedings of the 5th international workshop on semantic evaluation, SemEval@ACL 2010, Uppsala University, Uppsala, Sweden, 15-16 July, 2010. The association for computer linguistics, pp 33–38. https://aclanthology.org/S10-1006/
Huang Z, Xu W, Yu K (2015) Bidirectional LSTM-CRF models for sequence tagging. CoRR, arXiv:1508.01991
Ji G, Liu K, He S et al (2017) Distant supervision for relation extraction with sentence-level attention and entity descriptions. In: Singh SP, Markovitch S (eds) Proceedings of the thirty-first AAAI conference on artificial intelligence, 4-9 February, 2017, San Francisco, California, USA. AAAI Press, pp 3060–3066. http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14491
Joshi M, Chen D, Liu Y et al (2020) Spanbert: Improving pre-training by representing and predicting spans. Trans Assoc Comput Linguistics 8:64–77. https://transacl.org/ojs/index.php/tacl/article/view/1853
Levy O, Seo M, Choi E et al (2017) Zero-shot relation extraction via reading comprehension. In: Levy R, Specia L (eds) Proceedings of the 21st conference on computational natural language learning (CoNLL 2017), Vancouver, Canada, 3-4 August, 2017. Association for computational linguistics, pp 333–342. https://doi.org/10.18653/v1/K17-1034
De Lhoneux M, Bjerva J, Augenstein I et al (2018) Parameter sharing between dependency parsers for related languages. In: Riloff E, Chiang D, Hockenmaier J et al (eds) Proceedings of the 2018 conference on empirical methods in natural language processing, Brussels, Belgium, 31 October - 4 November, 2018. Association for computational linguistics, pp 4992–4997. https://aclanthology.org/D18-1543/
Li J, Wang R, Zhang N et al (2020) Logic-guided semantic representation learning for zero-shot relation classification. In: Scott D, Bel N, Zong C (eds) Proceedings of the 28th international conference on computational linguistics, COLING 2020, Barcelona, Spain (Online), 8-13 December, 2020. International committee on computational linguistics, pp 2967–2978. https://doi.org/10.18653/v1/2020.coling-main.265
Li X, Yin F, Sun Z et al (2019) Entity-relation extraction as multi-turn question answering. In: Korhonen A, Traum DR, Màrquez L (eds) Proceedings of the 57th conference of the association for computational linguistics, ACL 2019, Florence, Italy, 28 July - 2 August, 2019, vol 1: long papers. Association for computational linguistics, pp 1340–1350. https://doi.org/10.18653/v1/p19-1129
Liu Z, Winata GI, Xu P et al (2020) Coach: a coarse-to-fine approach for cross-domain slot filling. In: Jurafsky D, Chai J, Schluter N et al (eds) Proceedings of the 58th annual meeting of the association for computational linguistics, ACL 2020, Online, 5-10 July, 2020. Association for computational linguistics, pp 19–25. https://doi.org/10.18653/v1/2020.acl-main.3
Obamuyide A, Vlachos A (2018) Zero-shot relation classification as textual entailment. In: Proceedings of the first workshop on fact extraction and verification (FEVER). Association for computational linguistics, Brussels, Belgium, pp 72–78. https://doi.org/10.18653/v1/W18-5511
Pushp PK, Srivastava MM (2017) Train once, test anywhere: zero-shot learning for text classification. (CoRR), 1712.05972
Reimers N, Gurevych I (2019) Sentence-bert: Sentence embeddings using siamese bert-networks. In: Inui K, Jiang J, Ng V et al (eds) Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing, EMNLP-IJCNLP 2019, Hong Kong, China, 3-7 November, 2019. Association for computational linguistics, pp 3980–3990. https://doi.org/10.18653/v1/D19-1410
Takanobu R, Zhang T, Liu J et al (2019) A hierarchical framework for relation extraction with reinforcement learning. In: The thirty-third AAAI conference on artificial intelligence, AAAI 2019, the thirty-first innovative applications of artificial intelligence conference, IAAI 2019, The Ninth AAAI symposium on educational advances in artificial intelligence, EAAI 2019, Honolulu, Hawaii, USA, 27 January - 1 February, 2019. AAAI Press, pp 7072–7079. https://doi.org/10.1609/aaai.v33i01.33017072
Vargas C, Zhang Q, Izquierdo E (2020) One shot logo recognition based on siamese neural networks. In: Gurrin C, Jónsson B, Kando N et al (eds) Proceedings of the 2020 on international conference on multimedia retrieval, ICMR 2020, Dublin, Ireland, 8-11 June, 2020. ACM, pp 321–325. https://doi.org/10.1145/3372278.3390734
Wang J, Lu W (2020) Two are better than one: Joint entity and relation extraction with table-sequence encoders. In: Webber B, Cohn T, He Y et al (eds) Proceedings of the 2020 conference on empirical methods in natural language processing, EMNLP 2020, Online, 16-20 November, 2020. Association for computational linguistics, pp 1706–1721. https://doi.org/10.18653/v1/2020.emnlp-main.133
Wang S, Zhang Y, Che W et al (2018) Joint extraction of entities and relations based on a novel graph scheme. In: Lang J (ed) Proceedings of the twenty-seventh international joint conference on artificial intelligence, IJCAI 2018, 13-19 July, 2018, Stockholm, Sweden. ijcai.org, pp 4461–4467. https://doi.org/10.24963/ijcai.2018/620
Wei Z, Su J, Wang Y et al (2020) A novel cascade binary tagging framework for relational triple extraction. In: Jurafsky D, Chai J, Schluter N et al (eds) Proceedings of the 58th annual meeting of the association for computational linguistics, ACL 2020, Online, 5-10 July, 2020. Association for computational linguistics, pp 1476–1488. https://doi.org/10.18653/v1/2020.acl-main.136
Yang Z, Chen H, Zhang J et al (2020) Attention-based multi-level feature fusion for named entity recognition. In: Bessiere C (ed) Proceedings of the twenty-ninth international joint conference on artificial intelligence, IJCAI 2020. ijcai.org, pp 3594–3600. https://doi.org/10.24963/ijcai.2020/497
Yuan J, Guo H, Jin Z et al (2017) One-shot learning for fine-grained relation extraction via convolutiona siamese neural network. In: Nie J, Obradovic Z, Suzumura T et al (eds) 2017 IEEE international conference on big data (IEEE BigData 2017), Boston, MA, USA, 11-14 December, 2017. IEEE computer society, pp 2194–2199. https://doi.org/10.1109/BigData.2017.8258168
Zheng S, Wang F, Bao H et al (2017) Joint extraction of entities and relations based on a novel tagging scheme. In: Barzilay R, Kan M (eds) Proceedings of the 55th annual meeting of the association for computational linguistics, ACL 2017, Vancouver, Canada, 30 July - 4 August, vol 1: long papers. Association for computational linguistics, pp 1227–1236. https://doi.org/10.18653/v1/P17-1113
Zhu P, Cheng D, Yang F et al (2021) ZH-NER: chinese named entity recognition with adversarial multi-task learning and self-attentions. In: Jensen CS, Lim E, Yang D et al (eds) Database systems for advanced applications - 26th international conference, DASFAA 2021, Taipei, Taiwan, 11-14 April, 2021, proceedings, part II, lecture notes in computer science. Springer, vol 12682, pp 603–611. https://doi.org/10.1007/978-3-030-73197-7_40