Papers
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
Shudong Hao, Jordan Boyd-Graber, Michael J. Paul
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze et al.
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions
Vinodkumar Prabhakaran, Premkumar Ganeshkumar, Owen Rambow
Inducing a Lexicon of Abusive Words – a Feature-Based Approach
Michael Wiegand, Josef Ruppenhofer, Anna Schmidt et al.
Exploring the Role of Prior Beliefs for Argument Persuasion
Esin Durmus, Claire Cardie
Learning Word Embeddings for Low-Resource Languages by PU Learning
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh et al.
Deep Generative Model for Joint Alignment and Word Representation
Miguel Rios, Wilker Aziz, Khalil Sima’an
What’s Going On in Neural Constituency Parsers? An Analysis
David Gaddy, Mitchell Stern, Dan Klein
Universal Dependency Parsing for Hindi-English Code-Switching
Irshad Bhat, Riyaz A. Bhat, Manish Shrivastava et al.
Robust Multilingual Part-of-Speech Tagging via Adversarial Training
Michihiro Yasunaga, Jungo Kasai, Dragomir Radev
Parsing Tweets into Universal Dependencies
Yijia Liu, Yi Zhu, Wanxiang Che et al.
Noise-Robust Morphological Disambiguation for Dialectal Arabic
Nasser Zalmout, Alexander Erdmann, Nizar Habash
Neural Syntactic Generative Models with Exact Marginalization
Jan Buys, Phil Blunsom
Neural Particle Smoothing for Sampling from Conditional Sequence Models
Chu-Cheng Lin, Jason Eisner
Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses
Katherine Keith, Su Lin Blodgett, Brendan O’Connor
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings
Johannes Bjerva, Isabelle Augenstein
Embedding Syntax and Semantics of Prepositions via Tensor Decomposition
Hongyu Gong, Suma Bhat, Pramod Viswanath
Supervised Open Information Extraction
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer et al.
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
Patrick Verga, Emma Strubell, Andrew McCallum
Nested Named Entity Recognition Revisited
Arzoo Katiyar, Claire Cardie
Multimodal Named Entity Recognition for Short Social Media Posts
Seungwhan Moon, Leonardo Neves, Vitor Carvalho
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
Qiang Ning, Hao Wu, Haoruo Peng et al.
Implicit Argument Prediction with Event Knowledge
Pengxiang Cheng, Katrin Erk
Global Relation Embedding for Relation Extraction
Yu Su, Honglei Liu, Semih Yavuz et al.