Papers
Semi-supervised Structured Prediction with Neural CRF Autoencoder
Xiao Zhang, Yong Jiang, Hao Peng et al.
Effective Inference for Generative Neural Parsing
Mitchell Stern, Daniel Fried, Dan Klein
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition
Yong Jiang, Wenjuan Han, Kewei Tu
Dependency Grammar Induction with Neural Lexicalization and Big Training Data
Wenjuan Han, Yong Jiang, Kewei Tu
Stack-based Multi-layer Attention for Transition-based Dependency Parsing
Zhirui Zhang, Shujie Liu, Mu Li et al.
Neural Discontinuous Constituency Parsing
Miloš Stanojević, Raquel G. Alhama
Incremental Graph-based Neural Dependency Parsing
Xiaoqing Zheng
Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence
Caio Corro, Joseph Le Roux, Mathieu Lacroix
CRF Autoencoder for Unsupervised Dependency Parsing
Jiong Cai, Yong Jiang, Kewei Tu
Opinion Recommendation Using A Neural Model
Zhongqing Wang, Yue Zhang
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo, Alan Mislove, Anders Søgaard et al.
Story Comprehension for Predicting What Happens Next
Snigdha Chaturvedi, Haoruo Peng, Dan Roth
A Question Answering Approach for Emotion Cause Extraction
Lin Gui, Jiannan Hu, Yulan He et al.
“i have a feeling trump will win..................”: Forecasting Winners and Losers from User Predictions on Twitter
Sandesh Swamy, Alan Ritter, Marie-Catherine de Marneffe
Detecting Perspectives in Political Debates
David Vilares, Yulan He
Asking too much? The rhetorical role of questions in political discourse
Justine Zhang, Arthur Spirling, Cristian Danescu-Niculescu-Mizil
Identifying civilians killed by police with distantly supervised entity-event extraction
Katherine Keith, Abram Handler, Michael Pinkham et al.
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
Marek Rei, Luana Bulat, Douwe Kiela et al.
Joint Concept Learning and Semantic Parsing from Natural Language Explanations
Shashank Srivastava, Igor Labutov, Tom Mitchell
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani, Ivan Titov
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning
Tobias Domhan, Felix Hieber
Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms
Yin-Wen Chang, Michael Collins
Regularization techniques for fine-tuning in neural machine translation
Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann et al.
Instance Weighting for Neural Machine Translation Domain Adaptation
Rui Wang, Masao Utiyama, Lemao Liu et al.