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ORCID20th CoNLL 2016: Berlin, Germany
- Yoav Goldberg, Stefan Riezler:
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, CoNLL 2016, Berlin, Germany, August 11-12, 2016. ACL 2016, ISBN 978-1-945626-19-7
Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning
- David M. W. Powers
:
Computational Natural Language Learning: +-20years +-Data +-Features +-Multimodal +-Bioplausible. 1-9 - Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Józefowicz, Samy Bengio:
Generating Sentences from a Continuous Space. 10-21 - Mohammed Hasanuzzaman, Gaël Dias, Stéphane Ferrari, Yann Mathet, Andy Way:
Identifying Temporal Orientation of Word Senses. 22-30 - Zhiguo Wang, Haitao Mi, Abraham Ittycheriah:
Semi-supervised Clustering for Short Text via Deep Representation Learning. 31-39 - Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
Neighborhood Mixture Model for Knowledge Base Completion. 40-50 - Oren Melamud, Jacob Goldberger, Ido Dagan:
context2vec: Learning Generic Context Embedding with Bidirectional LSTM. 51-61 - Omid Bakhshandeh, Alexis Wellwood, James F. Allen:
Learning to Jointly Predict Ellipsis and Comparison Structures. 62-74 - Ashutosh Modi:
Event Embeddings for Semantic Script Modeling. 75-83 - Markus Zopf, Eneldo Loza Mencía, Johannes Fürnkranz:
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization. 84-94 - Alvin Grissom II, Naho Orita, Jordan L. Boyd-Graber:
Incremental Prediction of Sentence-final Verbs: Humans versus Machines. 95-104 - Sarah Hiller, Raquel Fernández:
A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition. 105-114 - Andrey Kutuzov, Erik Velldal, Lilja Øvrelid:
Redefining part-of-speech classes with distributional semantic models. 115-125 - Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, Jason Eisner:
Analyzing Learner Understanding of Novel L2 Vocabulary. 126-135 - Javad Nouri, Roman Yangarber:
Modeling language evolution with codes that utilize context and phonetic features. 136-145 - Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, Mark James Carman:
Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'. 146-155 - Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya:
Leveraging Cognitive Features for Sentiment Analysis. 156-166 - Silvio Amir, Byron C. Wallace, Hao Lyu, Paula Carvalho, Mário J. Silva:
Modelling Context with User Embeddings for Sarcasm Detection in Social Media. 167-177 - Meng Fang, Trevor Cohn:
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. 178-186 - Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. 187-197 - Jesús González-Rubio, Daniel Ortiz-Martínez, Francisco Casacuberta, José-Miguel Benedí Ruíz:
Beyond Prefix-Based Interactive Translation Prediction. 198-207 - Daniel Beck, Lucia Specia, Trevor Cohn:
Exploring Prediction Uncertainty in Machine Translation Quality Estimation. 208-218 - Chen-Tse Tsai, Stephen Mayhew, Dan Roth:
Cross-Lingual Named Entity Recognition via Wikification. 219-228 - Abbas Ghaddar, Philippe Langlais:
Coreference in Wikipedia: Main Concept Resolution. 229-238 - Sebastian Krause, Feiyu Xu, Hans Uszkoreit, Dirk Weissenborn:
Event Linking with Sentential Features from Convolutional Neural Networks. 239-249 - Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, Yoshiyasu Takefuji:
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation. 250-259 - Wei Fang, Jianwen Zhang, Dilin Wang, Zheng Chen, Ming Li:
Entity Disambiguation by Knowledge and Text Jointly Embedding. 260-269 - Anoop Kunchukuttan, Pushpak Bhattacharyya, Mitesh M. Khapra:
Substring-based unsupervised transliteration with phonetic and contextual knowledge. 270-279 - Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, Bing Xiang:
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. 280-290 - Abigail See, Minh-Thang Luong, Christopher D. Manning:
Compression of Neural Machine Translation Models via Pruning. 291-301 - Frances Yung, Kevin Duh, Taku Komura, Yuji Matsumoto:
Modelling the Usage of Discourse Connectives as Rational Speech Acts. 302-313 - Boxing Chen, Fei Huang:
Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data. 314-323
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