Papers
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features
Fan Yang, Arjun Mukherjee, Eduard Dragut
Trainable Greedy Decoding for Neural Machine Translation
Jiatao Gu, Kyunghyun Cho, Victor O.K. Li
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Jasmijn Bastings, Ivan Titov, Wilker Aziz et al.
Unfolding and Shrinking Neural Machine Translation Ensembles
Felix Stahlberg, Bill Byrne
Earth Mover’s Distance Minimization for Unsupervised Bilingual Lexicon Induction
Meng Zhang, Yang Liu, Huanbo Luan et al.
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka et al.
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles
Chenguang Wang, Alan Akbik, Laura Chiticariu et al.
Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data
Natalie Parde, Rodney Nielsen
Adapting Topic Models using Lexical Associations with Tree Priors
Weiwei Yang, Jordan Boyd-Graber, Philip Resnik
Shortest-Path Graph Kernels for Document Similarity
Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau et al.
Initializing Convolutional Filters with Semantic Features for Text Classification
Shen Li, Zhe Zhao, Tao Liu et al.
Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels
Lea Frermann, György Szarvas
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones
Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov et al.
A Simple Language Model based on PMI Matrix Approximations
Oren Melamud, Ido Dagan, Jacob Goldberger
Reference-Aware Language Models
Zichao Yang, Phil Blunsom, Chris Dyer et al.
Towards Quantum Language Models
Ivano Basile, Fabio Tamburini
Dynamic Entity Representations in Neural Language Models
Yangfeng Ji, Chenhao Tan, Sebastian Martschat et al.
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants
Andrey Kutuzov, Erik Velldal, Lilja Øvrelid
Exploring Vector Spaces for Semantic Relations
Kata Gábor, Haïfa Zargayouna, Isabelle Tellier et al.
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective
Qing Zhang, Houfeng Wang
Deep Residual Learning for Weakly-Supervised Relation Extraction
Yi Yao Huang, William Yang Wang
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events
Prafulla Kumar Choubey, Ruihong Huang
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction
Tianyu Liu, Kexiang Wang, Baobao Chang et al.
Context-Aware Representations for Knowledge Base Relation Extraction
Daniil Sorokin, Iryna Gurevych
Adversarial Training for Relation Extraction
Yi Wu, David Bamman, Stuart Russell