Multi-Task learning of keyphrase boundary classification

ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)

Volumn 2, Issue , 2017, Pages 341-346

  Augenstein, Isabelle ^a   Søgaard, Anders ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DEEP NEURAL NETWORKS; LEARNING SYSTEMS; LINGUISTICS; RECURRENT NEURAL NETWORKS; SEMANTICS;

BOUNDARY CLASSIFICATION; KEY-PHRASE; MULTI-TASK MODEL; MULTI-WORD EXPRESSIONS; MULTITASK LEARNING; SCIENTIFIC ARTICLES; SENSE-TAGGING; STATE-OF-THE-ART APPROACH;

CLASSIFICATION (OF INFORMATION);

EID: 85040544828     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/P17-2054     Document Type: Conference Paper

References (26)

1. Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, and Andrew McCallum. 2017. SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications. In Proceedings of SemEval, to appear.
2. Jonathan Baxter. 2000. A model of inductive bias learning. Journal of Artificial Intelligence Research 12:149–198.
3. Marcel Bollman and Anders Søgaard. 2016. Improving historical spelling normalization with bi-directional LSTMs and multi-task learning. In Proceedings of COLING.
4. Rich Caruana. 1993. Multitask Learning: A Knowledge-Based Source of Inductive Bias. In Proceedings of ICML.
5. Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011a. Natural language processing (almost) from scratch. The Journal of Machine Learning Research 12:2493–2537.
6. Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011b. Natural language processing (almost) from scratch. The Journal of Machine Learning Research 12:2493–2537.
7. Dipanjan Das, Desai Chen, Andre Martins, Nathan Schneider, and Noah Smith. 2014. Frame-semantic parsing. Computational linguistics 40(1):9–56.
8. Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015. Multi-Task Learning for Multiple Language Translation. In Proceedings of ACL.
9. Jenny Finkel, Trond Grenager, and Christopher Manning. 2005. Incorporating non-local information into information extraction systems by Gibbs sampling. In Proceedings of ACL.
10. Alex Graves and Jürgen Schmidhuber. 2005. Frame-wise Phoneme Classification with Bidirectional LSTM and other Neural Network Architectures. Neural Networks 18(5):602–610.
11. Kazi Saidul Hasan and Vincent Ng. 2014. Automatic Keyphrase Extraction: A Survey of the State of the Art. In Proceedings of ACL.
12. Anders Johannsen, Dirk Hovy, Héctor Martínez, Barbara Plank, and Anders Søgaard. 2014. More or less supervised supersense tagging of Twitter. In Proceedings of *SEM.
13. Su Nam Kim, Olena Medelyan, Min-Yen Kan, and Timothy Baldwin. 2010. SemEval-2010 Task 5: Automatic Keyphrase Extraction from Scientific Articles. In Proceedings of SemEval.
14. Guillaume Lample, Miguel Ballesteros, Sandeep Sub-ramanian, Kazuya Kawakami, and Chris Dyer. 2016. Neural Architectures for Named Entity Recognition. In Proceedings of NAACL-HLT. pages 260–270.
15. Pengfei Liu, Shafiq Joty, and Helen Meng. 2015. Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings. In Proceedings of EMNLP.
16. Pengfei Liu, Xipeng Qiu, and Xuanjing Huang. 2016. Deep Multi-Task Learning with Shared Memory for Text Classification. In Proceedings of EMNLP.
17. Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, and Lukasz Kaiser. 2016. Multi-task Sequence to Sequence Learning. In Proceedings of ICLR.
18. Héctor Martínez Alonso and Barbara Plank. 2017. When is multitask learning effective? Semantic sequence prediction under varying data conditions. In Proceedings of EACL.
19. Andreas Maurer. 2007. Bounds for Linear Multi Task Learning. Journal of Machine Learning Research 7:117–139.
20. 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 Proceedings of LREC.
21. Marek Rei. 2017. Semi-supervised Multitask Learning for Sequence Labeling. In Proceedings of ACL, to appear.
22. Nathan Schneider and Noah Smith. 2015. A Corpus and Model Integrating Multiword Expressions and Supersenses. Proceedings of NAACL-HLT .
23. Anders Søgaard and Yoav Goldberg. 2016. Deep multi-task learning with low level tasks supervised at lower layers. In Proceedings of ACL.
24. Valentin Spitkovsky, Daniel Jurafsky, and Hiyan Al-shawi. 2010. Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing. In Proceedings of ACL.
25. Lucas Sterckx, Cornelia Caragea, Thomas Demeester, and Chris Develder. 2016. Supervised Keyphrase Extraction as Positive Unlabeled Learning. In Proceedings of EMNLP.
26. Lei Yu, Jan Buys, and Phil Blunsom. 2016. Online Segment to Segment Neural Transduction. In Proceedings of EMNLP.