Papers
Most “babies” are “little” and most “problems” are “huge”: Compositional Entailment in Adjective-Nouns
Ellie Pavlick, Chris Callison-Burch
Unravelling Names of Fictional Characters
Katerina Papantoniou, Stasinos Konstantopoulos
Learning To Use Formulas To Solve Simple Arithmetic Problems
Arindam Mitra, Chitta Baral
Leveraging FrameNet to Improve Automatic Event Detection
Shulin Liu, Yubo Chen, Shizhu He et al.
Neural Relation Extraction with Selective Attention over Instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu et al.
Topic Extraction from Microblog Posts Using Conversation Structures
Jing Li, Ming Liao, Wei Gao et al.
Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference
Effi Levi, Roi Reichart, Ari Rappoport
Evaluating Sentiment Analysis in the Context of Securities Trading
Siavash Kazemian, Shunan Zhao, Gerald Penn
Continuous Profile Models in ASL Syntactic Facial Expression Synthesis
Hernisa Kacorri, Matt Huenerfauth
Summarizing Source Code using a Neural Attention Model
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung et al.
Hidden Softmax Sequence Model for Dialogue Structure Analysis
Zhiyang He, Xien Liu, Ping Lv et al.
A Vector Space for Distributional Semantics for Entailment
James Henderson, Diana Popa
Efficient techniques for parsing with tree automata
Jonas Groschwitz, Alexander Koller, Mark Johnson
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova, Iryna Gurevych
Jointly Learning to Embed and Predict with Multiple Languages
Daniel C. Ferreira, André F. T. Martins, Mariana S. C. Almeida
Set-Theoretic Alignment for Comparable Corpora
Thierry Etchegoyhen, Andoni Azpeitia
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein
Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time
Silvio Cordeiro, Carlos Ramisch, Marco Idiart et al.
Strategies for Training Large Vocabulary Neural Language Models
Wenlin Chen, David Grangier, Michael Auli
Semi-Supervised Learning for Neural Machine Translation
Yong Cheng, Wei Xu, Zhongjun He et al.
Cross-Lingual Morphological Tagging for Low-Resource Languages
Jan Buys, Jan A. Botha
N-gram language models for massively parallel devices
Nikolay Bogoychev, Adam Lopez
MUTT: Metric Unit TesTing for Language Generation Tasks
William Boag, Renan Campos, Kate Saenko et al.
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents
Anders Björkelund, Agnieszka Faleńska, Wolfgang Seeker et al.
Mining Paraphrasal Typed Templates from a Plain Text Corpus
Or Biran, Terra Blevins, Kathleen McKeown