Papers
Implicitly-Defined Neural Networks for Sequence Labeling
Michaeel Kazi, Brian Thompson
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function
Oren Melamud, Jacob Goldberger
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
Daniel Fried, Mitchell Stern, Dan Klein
Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization
Ye Zhang, Matthew Lease, Byron C. Wallace
Lifelong Learning CRF for Supervised Aspect Extraction
Lei Shu, Hu Xu, Bing Liu
Learning Lexico-Functional Patterns for First-Person Affect
Lena Reed, Jiaqi Wu, Shereen Oraby et al.
Towards String-To-Tree Neural Machine Translation
Roee Aharoni, Yoav Goldberg
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation
Weiyue Wang, Tamer Alkhouli, Derui Zhu et al.
A Generative Parser with a Discriminative Recognition Algorithm
Jianpeng Cheng, Adam Lopez, Mirella Lapata
Arc-swift: A Novel Transition System for Dependency Parsing
Peng Qi, Christopher D. Manning
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection
Youxuan Jiang, Jonathan K. Kummerfeld, Walter S. Lasecki
Sentence Alignment Methods for Improving Text Simplification Systems
Sanja Štajner, Marc Franco-Salvador, Simone Paolo Ponzetto et al.
Exploring Neural Text Simplification Models
Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto et al.
On the Distribution of Lexical Features at Multiple Levels of Analysis
Fatemeh Almodaresi, Lyle Ungar, Vivek Kulkarni et al.
Learning to Parse and Translate Improves Neural Machine Translation
Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho
An Analysis of Action Recognition Datasets for Language and Vision Tasks
Spandana Gella, Frank Keller
Evaluating Compound Splitters Extrinsically with Textual Entailment
Glorianna Jagfeld, Patrick Ziering, Lonneke van der Plas
Incorporating Dialectal Variability for Socially Equitable Language Identification
David Jurgens, Yulia Tsvetkov, Dan Jurafsky
Incorporating Uncertainty into Deep Learning for Spoken Language Assessment
Andrey Malinin, Anton Ragni, Kate Knill et al.
Neural Architectures for Multilingual Semantic Parsing
Raymond Hendy Susanto, Wei Lu
Vector space models for evaluating semantic fluency in autism
Emily Prud’hommeaux, Jan van Santen, Douglas Gliner
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments
Maxime Peyrard, Judith Eckle-Kohler
Alternative Objective Functions for Training MT Evaluation Metrics
Miloš Stanojević, Khalil Sima’an
Lexical Features in Coreference Resolution: To be Used With Caution
Nafise Sadat Moosavi, Michael Strube