Papers
Multitask Learning for Mental Health Conditions with Limited Social Media Data
Adrian Benton, Margaret Mitchell, Dirk Hovy
Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models
Gabriel Stanovsky, Daniel Gruhl, Pablo Mendes
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
Rajarshi Das, Arvind Neelakantan, David Belanger et al.
If You Can’t Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking
Dasha Bogdanova, Jennifer Foster, Daria Dzendzik et al.
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?
Shangmin Guo, Xiangrong Zeng, Shizhu He et al.
Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison
Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
Alexander Panchenko, Eugen Ruppert, Stefano Faralli et al.
Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network
Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection
Vered Shwartz, Enrico Santus, Dominik Schlechtweg
Learning Compositionality Functions on Word Embeddings for Modelling Attribute Meaning in Adjective-Noun Phrases
Matthias Hartung, Fabian Kaupmann, Soufian Jebbara et al.
When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso, Barbara Plank
Classifying Illegal Activities on Tor Network Based on Web Textual Contents
Mhd Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre et al.
Exploring Different Dimensions of Attention for Uncertainty Detection
Heike Adel, Hinrich Schütze
Neural Tree Indexers for Text Understanding
Tsendsuren Munkhdalai, Hong Yu
Gated End-to-End Memory Networks
Fei Liu, Julien Perez
Lean Crowdsourcing: Combining Humans and Machines in an Online System
Steve Branson, Grant Van Horn, Pietro Perona
Awesome Typography: Statistics-Based Text Effects Transfer
Shuai Yang, Jiaying Liu, Zhouhui Lian et al.
AGA: Attribute-Guided Augmentation
Mandar Dixit, Roland Kwitt, Marc Niethammer et al.
Low-Rank-Sparse Subspace Representation for Robust Regression
Yongqiang Zhang, Daming Shi, Junbin Gao et al.
A Dataset for Benchmarking Image-Based Localization
Xun Sun, Yuanfan Xie, Pei Luo et al.
Adaptive Class Preserving Representation for Image Classification
Jian-Xun Mi, Qiankun Fu, Weisheng Li
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior
Jing Zhang, Yang Cao, Shuai Fang et al.
Generative Hierarchical Learning of Sparse FRAME Models
Jianwen Xie, Yifei Xu, Erik Nijkamp et al.
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
Zheng Xu, Mario A. T. Figueiredo, Xiaoming Yuan et al.