References Rie Kubota Ando and Tong Zhang. 2005a. A framework for learning predictive structures from multiple tasks and unlabeled data. The Journal of Machine Learning Research, 6:1817–1853. Rie Kubota Ando and Tong Zhang. 2005b. Learning predictive structures. JMLR, 6:1817–1853. Miguel Ballesteros, Chris Dyer, and Noah A. Smith.

  1. Improved transition-based dependency parsing by modeling characters instead of words with LSTMs. In Proceedings of EMNLP. Miguel Ballesteros, Yoav Golderg, Chris Dyer, and Noah A. Smith. 2016. Training with Explo- ration Improves a Greedy Stack-LSTM Parser. In arXiv:1603.03793. Yoshua Bengio, Patrice Simard, and Paolo Frasconi.
  2. Learning long-term dependencies with gradient descent is difficult. Neural Networks, IEEE Transac- tions on, 5(2):157–166. Chris Biemann, Gerhard Heyer, Uwe Quasthoff, and Matthias Richter. 2007. The leipzig corpora collection-monolingual corpora of standard size. Pro- ceedings of Corpus Linguistic. Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Mark Przybocki, and Omar F Zaidan.
  3. Findings of the 2010 joint workshop on sta- tistical machine translation and metrics for machine translation. In Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, pages 17–53. Association for Computational Linguis- tics. Xavier Carreras, Llu´ ıs Màrquez, and Llu´ ıs Padró. 2002. Named entity extraction using adaboost, proceedings of the 6th conference on natural language learning. August, 31:1–4. Jason PC Chiu and Eric Nichols. 2015. Named en- tity recognition with bidirectional lstm-cnns. arXiv preprint arXiv:1511.08308. Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. The Journal of Machine Learning Research, 12:2493– 2537. Silviu Cucerzan and David Yarowsky. 1999. Language independent named entity recognition combining mor- phological and contextual evidence. In Proceedings of the 1999 Joint SIGDAT Conference on EMNLP and VLC, pages 90–99. 268 Silviu Cucerzan and David Yarowsky. 2002. Language independent ner using a unified model of internal and contextual evidence. In proceedings of the 6th confer- ence on Natural language learning-Volume 20, pages 1–4. Association for Computational Linguistics. Hong-Jie Dai, Po-Ting Lai, Yung-Chun Chang, and Richard Tzong-Han Tsai. 2015. Enhancing of chem- ical compound and drug name recognition using rep- resentative tag scheme and fine-grained tokenization. Journal of cheminformatics, 7(Suppl 1):S14. Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, and Noah A. Smith. 2015. Transition- based dependency parsing with stack long short-term memory. In Proc. ACL. Jacob Eisenstein, Tae Yano, William W Cohen, Noah A Smith, and Eric P Xing. 2011. Structured databases of named entities from bayesian nonparametrics. In Proceedings of the First Workshop on Unsupervised Learning in NLP, pages 2–12. Association for Com- putational Linguistics. Radu Florian, Abe Ittycheriah, Hongyan Jing, and Tong Zhang. 2003. Named entity recognition through clas- sifier combination. In Proceedings of the seventh con- ference on Natural language learning at HLT-NAACL 2003-Volume 4, pages 168–171. Association for Com- putational Linguistics. Dan Gillick, Cliff Brunk, Oriol Vinyals, and Amarnag Subramanya. 2015. Multilingual language processing from bytes. arXiv preprint arXiv:1512.00103. David Graff. 2011. Spanish gigaword third edition (ldc2011t12). Linguistic Data Consortium, Univer- sity of Pennsylvania, Philadelphia, PA. Alex Graves and Jürgen Schmidhuber. 2005. Framewise phoneme classification with bidirectional LSTM net- works. In Proc. IJCNN. Geoffrey E Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan R Salakhutdinov. 2012. Improving neural networks by preventing co- adaptation of feature detectors. arXiv preprint arXiv:1207.0580. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural Computation, 9(8):1735– 1780. Johannes Hoffart, Mohamed Amir Yosef, Ilaria Bordino, Hagen Fürstenau, Manfred Pinkal, Marc Spaniol, Bilyana Taneva, Stefan Thater, and Gerhard Weikum.
  4. Robustdisambiguationofnamedentitiesintext. In Proceedings of the Conference on Empirical Meth- ods in Natural Language Processing, pages 782–792. Association for Computational Linguistics. Zhiheng Huang, Wei Xu, and Kai Yu. 2015. Bidi- rectional LSTM-CRF models for sequence tagging. CoRR, abs/1508.01991. Yoon Kim, Yacine Jernite, David Sontag, and Alexan- der M. Rush. 2015. Character-aware neural language models. CoRR, abs/1508.06615. Diederik Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980. John Lafferty, Andrew McCallum, and Fernando CN Pereira. 2001. Conditional random fields: Probabilis- tic models for segmenting and labeling sequence data. In Proc. ICML. Dekang Lin and Xiaoyun Wu. 2009. Phrase clustering fordiscriminativelearning. InProceedingsoftheJoint Conference of the 47th Annual Meeting of the ACL and the4thInternationalJointConferenceonNaturalLan- guage Processing of the AFNLP: Volume 2-Volume 2, pages 1030–1038. Association for Computational Lin- guistics. WangLing, LinChu-Cheng, YuliaTsvetkov, SilvioAmir, Rámon Fernandez Astudillo, Chris Dyer, Alan W Black, and Isabel Trancoso. 2015a. Not all contexts are created equal: Better word representations with variable attention. In Proc. EMNLP. Wang Ling, Tiago Lu´ ıs, Lu´ ıs Marujo, Ramón Fernandez Astudillo, Silvio Amir, Chris Dyer, Alan W Black, and Isabel Trancoso. 2015b. Finding function in form: Compositional character models for open vocabulary wordrepresentation. InProceedingsoftheConference on Empirical Methods in Natural Language Process- ing (EMNLP). Gang Luo, Xiaojiang Huang, Chin-Yew Lin, and Zaiqing Nie. 2015. Joint named entity recognition and disam- biguation. In Proc. EMNLP. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a. Efficient estimation of word representa- tions in vector space. arXiv preprint arXiv:1301.3781. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Cor- rado, and Jeff Dean. 2013b. Distributed representa- tions of words and phrases and their compositionality. In Proc. NIPS. Joakim Nivre. 2004. Incrementality in deterministic de- pendency parsing. In Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cog- nition Together. Joel Nothman, Nicky Ringland, Will Radford, Tara Mur- phy, and James R Curran. 2013. Learning multilin- gual named entity recognition from wikipedia. Artifi- cial Intelligence, 194:151–175. Robert Parker, David Graff, Junbo Kong, Ke Chen, and Kazuaki Maeda. 2009. English gigaword fourth edition (ldc2009t13). Linguistic Data Consortium, Univer-sity of Pennsylvania, Philadelphia, PA. Alexandre Passos, Vineet Kumar, and Andrew Mc- Callum. 2014. Lexicon infused phrase embed- 269 dings for named entity resolution. arXiv preprint arXiv:1404.5367. Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kavukcuoglu, and Jason Weston. 2009. Combining labeled and unlabeled data with word-class distribu- tion learning. In Proceedings of the 18th ACM con- ference on Information and knowledge management, pages 1737–1740. ACM. Lev Ratinov and Dan Roth. 2009. Design challenges and misconceptions in named entity recognition. In Proceedings of the Thirteenth Conference on Compu- tational Natural Language Learning, pages 147–155. Association for Computational Linguistics. CiceroNogueiradosSantosandVictorGuimar˜ aes. 2015. Boosting named entity recognition with neural charac- ter embeddings. arXiv preprint arXiv:1505.05008. Erik F. Tjong Kim Sang and Fien De Meulder. 2003. In- troduction to the conll-2003 shared task: Language- independent named entity recognition. In Proc. CoNLL. Erik F. Tjong Kim Sang. 2002. Introduction to the conll- 2002sharedtask: Language-independentnamedentity recognition. In Proc. CoNLL. Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010. Word representations: A simple and general method for semi-supervised learning. In Proc. ACL. Matthew D Zeiler. 2012. Adadelta: An adaptive learning rate method. arXiv preprint arXiv:1212.5701. Yue Zhang and Stephen Clark. 2011. Syntactic process- ing using the generalized perceptron and beam search. Computational Linguistics, 37(1). Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015. Character-level convolutional networks for text classi- fication. In Advances in Neural Information Process- ing Systems, pages 649–657. Jie Zhou and Wei Xu. 2015. End-to-end learning of se- mantic role labeling using recurrent neural networks. In Proceedings of the Annual Meeting of the Associa- tion for Computational Linguistics.

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