Fetching the paper…
Reading the bibliography…
Background: Given the importance of relation or event extraction from biomedical research publications to support knowledge capture and synthesis, and the strong dependency of approaches to this information extraction task on syntactic information, it is valuable to understand which approaches to syntactic processing of biomedical text have the highest performance.
Brown, P.F., deSouza, P.V., Mercer, R.L., Pietra, V.J.D., Lai, J.C.: Class-based N-gram Models of Natural Language. Comput. Linguist. 18
1992
Earlier work this paper cites.
Marcus, M.P., Santorini, B., Marcinkiewicz, M.A.: Building a Large Annotated Corpus of English: The Penn Treebank. Computational Linguistics 19
1993
Earlier work this paper cites.
Schuster, M., Paliwal, K.K.: Bidirectional recurrent neural networks. IEEE Transactions on Signal Processing 45
1997
Earlier work this paper cites.
Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Computation 9
1997
Earlier work this paper cites.
Lafferty, J.D., McCallum, A., Pereira, F.C.N.: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In: Proceedings of the Eighteenth International Conference on Machine Learning, pp. 282–289 (2001)
2001
Earlier work this paper cites.
Toutanova, K., Klein, D., Manning, C.D., Singer, Y.: Feature-rich Part-of-speech Tagging with a Cyclic Dependency Network. In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1, pp. 173–180 (2003)
2003
Earlier work this paper cites.
Tateisi, Y., Yakushiji, A., Ohta, T., Tsujii, J.: Syntax Annotation for the GENIA Corpus. In: Proceedings of the Second International Joint Conference on Natural Language Processing: Companion Volume, pp. 220–225 (2005)
2005
Earlier work this paper cites.
Tsuruoka, Y., Tateishi, Y., Kim, J.-D., Ohta, T., McNaught, J., Ananiadou, S., Tsujii, J.: Developing a robust part-of-speech tagger for biomedical text. In: Advances in Informatics, pp. 382–392 (2005)
2005
Earlier work this paper cites.
Charniak, E., Johnson, M.: Coarse-to-fine n-best parsing and maxent discriminative reranking. In: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics, pp. 173–180 (2005)
2005
Earlier work this paper cites.
Baumgartner, W., Cohen, K., Fox, L., Acquaah-Mensah, G., Hunter, L.: Manual curation is not sufficient for annotation of genomic databases. Bioinformatics 23
2007
Earlier work this paper cites.
McDonald, R., Nivre, J.: Characterizing the Errors of Data-Driven Dependency Parsing Models. In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 122–131 (2007)
2007
Earlier work this paper cites.
McClosky, D., Charniak, E.: Self-training for biomedical parsing. In: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers, pp. 101–104 (2008)
2008
Earlier work this paper cites.
de Marneffe, M.-C., Manning, C.D.: The Stanford Typed Dependencies Representation. In: Proceedings of the Workshop on Cross-Framework and Cross-Domain Parser Evaluation, pp. 1–8 (2008)
2008
Earlier work this paper cites.
Surdeanu, M., Johansson, R., Meyers, A., Màrquez, L., Nivre, J.: The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies. In: Proceedings of the Twelfth Conference on Computational Natural Language Learning, pp. 159–177 (2008)
2008
Earlier work this paper cites.
Koo, T., Carreras, X., Collins, M.: Simple Semi-supervised Dependency Parsing. In: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 595–603 (2008)
2008
Earlier work this paper cites.
Graves, A.: Supervised sequence labelling with recurrent neural networks. PhD thesis, Technical University Munich (2008)
2008
Earlier work this paper cites.
Kim, J.-D., Ohta, T., Pyysalo, S., Kano, Y., Tsujii, J.: Overview of BioNLP’09 Shared Task on Event Extraction. In: Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, pp. 1–9 (2009)
2009
Earlier work this paper cites.
Björne, J., Heimonen, J., Ginter, F., Airola, A., Pahikkala, T., Salakoski, T.: Extracting complex biological events with rich graph-based feature sets. In: Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, pp. 10–18 (2009)
2009
Earlier work this paper cites.
Cohen, K.B., Johnson, H., Verspoor, K., Roeder, C., Hunter, L.: The structural and content aspects of abstracts versus bodies of full text journal articles are different. BMC Bioinformatics 11
2010
Cited alongside, same era.
McClosky, D.: Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing. PhD thesis, Department of Computer Science, Brown University (2010)
2010
Cited alongside, same era.
Seddah, D., Chrupała, G., Cetinoglu, O., van Genabith, J., Candito, M.: Lemmatization and lexicalized statistical parsing of morphologically-rich languages: the case of french. In: Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages, pp. 85–93 (2010)
2010
Cited alongside, same era.
Miwa, M., Pyysalo, S., Hara, T., Tsujii, J.: Evaluating Dependency Representations for Event Extraction. In: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 779–787 (2010)
2010
Cited alongside, same era.
Ma, X., Hovy, E.: End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1064–1074 (2016)
2016
Later among the works it cites.
Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., Dyer, C.: Neural Architectures for Named Entity Recognition. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 260–270 (2016)
2016
Later among the works it cites.
Kiperwasser, E., Goldberg, Y.: Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations. Transactions of the Association for Computational Linguistics 4
2016
Later among the works it cites.
Chiu, B., Crichton, G., Korhonen, A., Pyysalo, S.: How to Train good Word Embeddings for Biomedical NLP. In: Proceedings of the 15th Workshop on Biomedical Natural Language Processing, pp. 166–174 (2016)
2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Choi, J.D., Palmer, M.: Getting the most out of transition-based dependency parsing. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 687–692 (2011)
2011
Cited alongside, same era.
Kim, J.-D., Pyysalo, S., Ohta, T., Bossy, R., Nguyen, N., Tsujii, J.: Overview of BioNLP Shared Task 2011. In: Proceedings of BioNLP Shared Task 2011 Workshop, pp. 1–6 (2011)
2011
Cited alongside, same era.
Verspoor, K., Cohen, K.B., Lanfranchi, A., Warner, C., Johnson, H.L., Roeder, C., Choi, J.D., Funk, C., Malenkiy, Y., Eckert, M., Xue, N., Baumgartner, W.A., Bada, M., Palmer, M., Hunter, L.E.: A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools. BMC Bioinformatics 13
2012
Cited alongside, same era.
Choi, J.D., Palmer, M.: Guidelines for the CLEAR Style Constituent to Dependency Conversion. Technical report, Institute of Cognitive Science, University of Colorado Boulder (2012)
2012
Cited alongside, same era.
Liu, H., Christiansen, T., Baumgartner, W.A., Verspoor, K.: BioLemmatizer: a lemmatization tool for morphological processing of biomedical text. Journal of Biomedical Semantics 3
2012
Cited alongside, same era.
Mueller, T., Schmid, H., Schütze, H.: Efficient Higher-Order CRFs for Morphological Tagging. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 322–332 (2013)
2013
Cited alongside, same era.
Choi, J.D., McCallum, A.: Transition-based Dependency Parsing with Selectional Branching. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1052–1062 (2013)
2013
Cited alongside, same era.
Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed Representations of Words and Phrases and their Compositionality. In: Advances in Neural Information Processing Systems 26, pp. 3111–3119 (2013)
2013
Cited alongside, same era.
Later among the works it cites.
Dozat, T.: Incorporating Nesterov Momentum into Adam. In: Proceedings of the ICLR 2016 Workshop Track (2016)
2016
Later among the works it cites.
Plank, B., Søgaard, A., Goldberg, Y.: Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 412–418 (2016)
2016
Later among the works it cites.
Peng, N., Poon, H., Quirk, C., Toutanova, K., Yih, W.-t.: Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Transactions of the Association for Computational Linguistics 5
2017
Later among the works it cites.
Björne, J., Ginter, F., Salakoski, T.: EPE 2017: The Biomedical Event Extraction Downstream Application. In: Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation, pp. 17–24 (2017)
2017
Later among the works it cites.
Reimers, N., Gurevych, I.: Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 338–348 (2017)
2017
Later among the works it cites.
Nguyen, D.Q., Dras, M., Johnson, M.: A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing. In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 134–142 (2017)
2017
Later among the works it cites.
Dozat, T., Manning, C.D.: Deep Biaffine Attention for Neural Dependency Parsing. In: Proceedings of the 5th International Conference on Learning Representations (2017)
2017
Later among the works it cites.
Dozat, T., Qi, P., Manning, C.D.: Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 20–30 (2017)
2017
Later among the works it cites.
Zeman, D., Popel, M., Straka, M., Hajic, J., Nivre, J., Ginter, F., Luotolahti, J., Pyysalo, S., Petrov, S., Potthast, M., Tyers, F., Badmaeva, E., Gokirmak, M., Nedoluzhko, A., Cinkova, S., Hajic jr., J., Hlavacova, J., Kettnerová, V., Uresova, Z., Kanerva, J., Ojala, S., Missilä, A., Manning, C.D., Schuster, S., Reddy, S., Taji, D., Habash, N., Leung, H., de Marneffe, M.-C., Sanguinetti, M., Simi, M., Kanayama, H., dePaiva, V., Droganova, K., Martínez Alonso, H., Çöltekin, c., Sulubacak, U., Uszkoreit, H., Macketanz, V., Burchardt, A., Harris, K., Marheinecke, K., Rehm, G., Kayadelen, T., Attia, M., Elkahky, A., Yu, Z., Pitler, E., Lertpradit, S., Mandl, M., Kirchner, J., Alcalde, H.F., Strnadová, J., Banerjee, E., Manurung, R., Stella, A., Shimada, A., Kwak, S., Mendonca, G., Lando, T., Nitisaroj, R., Li, J.: CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 1–19 (2017)
2017
Later among the works it cites.
Habibi, M., Weber, L., Neves, M., Wiegandt, D.L., Leser, U.: Deep learning with word embeddings improves biomedical named entity recognition. Bioinformatics 33
2017
Later among the works it cites.
Oepen, S., Ovrelid, L., Björne, J., Johansson, R., Lapponi, E., Ginter, F., Velldal, E.: The 2017 Shared Task on Extrinsic Parser Evaluation Towards a Reusable Community Infrastructure. In: Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation, pp. 1–16 (2017)
2017
Later among the works it cites.
Schuster, S., Clergerie, E.D.L., Candito, M., Sagot, B., Manning, C.D., Seddah, D.: Paris and Stanford at EPE 2017: Downstream Evaluation of Graph-based Dependency Representations. In: Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation, pp. 47–59 (2017)
2017
Later among the works it cites.
Nguyen, D.Q., Verspoor, K.: An improved neural network model for joint POS tagging and dependency parsing. In: Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pp. 81–91 (2018)
2018
Closest in time.