- A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition
Sarah Hiller and Raquel Fernandez - Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Caglar Gulcehre and Bing Xiang - Analyzing Learner Understanding of Novel L2 Vocabulary
Rebecca Knowles, Adithya Renduchintala, Philipp Koehn and Jason Eisner - Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization
Markus Zopf, Eneldo Loza Mencía and Johannes Fürnkranz - Beyond Prefix-Based Interactive Translation Prediction
Jesús González-Rubio, Daniel Ortiz Martinez, Francisco Casacuberta and Jose Miguel Benedi Ruiz - Compression of Neural Machine Translation Models via Pruning
Abigail See, Minh-Thang Luong and Christopher D. Manning - context2vec: Learning Generic Context Embedding with Bidirectional LSTM
Oren Melamud, Jacob Goldberger and Ido Dagan - Coreference in Wikipedia: Main Concept Resolution
Abbas Ghaddar and Phillippe Langlais - Cross-Lingual Named Entity Recognition via Wikification
Chen-Tse Tsai, Stephen Mayhew and Dan Roth - Distributed Representation based Compositional Script Model
Ashutosh Modi and Ivan Titov - Entity Disambiguation by Knowledge and Text Jointly Embedding
Wei Fang, Jianwen Zhang, Dilin Wang, Zheng Chen and Ming Li - Event Linking with Sentential Features from Convolutional Neural Networks
Sebastian Krause, Feiyu Xu, Hans Uszkoreit and Dirk Weissenborn - Exploring Prediction Uncertainty in Machine Translation Quality Estimation
Daniel Beck, Lucia Specia and Trevor Cohn - Generating Sentences from a Continuous Space
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz and Samy Bengio - Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer and Noah A. Smith - Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'
Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya and Mark J Carman - Identifying Temporal Orientation of Word Senses
Mohammed Hasanuzzaman and Gaël Dias - Incremental Prediction of Sentence-final Verbs
Alvin Grissom II, Naho Orita and Jordan Boyd-Graber - Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda and Yoshiyasu Takefuji - Learning to Jointly Predict Ellipsis and Comparison Structures
Alexis Cornelia Wellwood, James Allen and Omid Bakhshandeh - Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection
Meng Fang and Trevor Cohn - Leveraging Cognitive Features for Sentiment Analysis
Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey and Pushpak Bhattacharyya - Modeling language change and evolution through context-sensitive phonetic alignment
Javad Nouri and Roman Yangarber - Modelling Context with User Embeddingsfor Sarcasm Detection in Social Media
Silvio Amir and Byron C. Wallace - Modelling the Usage of Discourse Connectives as Rational Speech Acts
Frances Yung, Kevin Duh, Taku Komura and Yuji Matsumoto - Neighborhood Mixture Model for Knowledge Base Completion
Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu and Mark Johnson - Redefining part-of-speech classes with distributional semantic models
Andrey Kutuzov, Erik Velldal and Lilja Øvrelid - Semi-supervised Clustering for Short Text via Deep Representation Learning
Zhiguo Wang, Haitao Mi and Abraham Ittycheriah - Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data
Boxing Chen and Fei Huang - Substring-based unsupervised transliteration with phonetic and contextual knowledge
Anoop Kunchukuttan, Pushpak Bhattacharyya and Mitesh M. Khapra
CoNLL 2016 - Accepted submissions
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