Papers
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.
Towards Compact and Fast Neural Machine Translation Using a Combined Method
Xiaowei Zhang, Wei Chen, Feng Wang et al.
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
Khanh Nguyen, Hal Daumé III, Jordan Boyd-Graber
Learning Translations via Matrix Completion
Derry Tanti Wijaya, Brendan Callahan, John Hewitt et al.
Massive Exploration of Neural Machine Translation Architectures
Denny Britz, Anna Goldie, Minh-Thang Luong et al.
Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation
Baosong Yang, Derek F. Wong, Tong Xiao et al.
Translating Phrases in Neural Machine Translation
Xing Wang, Zhaopeng Tu, Deyi Xiong et al.
Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
Leonard Dahlmann, Evgeny Matusov, Pavel Petrushkov et al.
Dynamic Data Selection for Neural Machine Translation
Marlies van der Wees, Arianna Bisazza, Christof Monz
Memory-augmented Neural Machine Translation
Yang Feng, Shiyue Zhang, Andi Zhang et al.
Neural Lattice-to-Sequence Models for Uncertain Inputs
Matthias Sperber, Graham Neubig, Jan Niehues et al.
Identifying attack and support argumentative relations using deep learning
Oana Cocarascu, Francesca Toni
Here’s My Point: Joint Pointer Architecture for Argument Mining
Peter Potash, Alexey Romanov, Anna Rumshisky
Using Argument-based Features to Predict and Analyse Review Helpfulness
Haijing Liu, Yang Gao, Pin Lv et al.
Patterns of Argumentation Strategies across Topics
Khalid Al-Khatib, Henning Wachsmuth, Matthias Hagen et al.
GRASP: Rich Patterns for Argumentation Mining
Eyal Shnarch, Ran Levy, Vikas Raykar et al.
Learning to Rank Semantic Coherence for Topic Segmentation
Liang Wang, Sujian Li, Yajuan Lv et al.
Revisiting Selectional Preferences for Coreference Resolution
Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube
What is it? Disambiguating the different readings of the pronoun ‘it’
Sharid Loáiciga, Liane Guillou, Christian Hardmeier