Papers
Large-scale Exploration of Neural Relation Classification Architectures
Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu et al.
Learning and Evaluating Sparse Interpretable Sentence Embeddings
Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko et al.
Learning a Policy for Opportunistic Active Learning
Aishwarya Padmakumar, Peter Stone, Raymond Mooney
Learning Better Internal Structure of Words for Sequence Labeling
Yingwei Xin, Ethan Hart, Vibhuti Mahajan et al.
Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs
Nils Rethmeier, Marc Hübner, Leonhard Hennig
Learning Concept Abstractness Using Weak Supervision
Ella Rabinovich, Benjamin Sznajder, Artem Spector et al.
Learning Context-Sensitive Convolutional Filters for Text Processing
Dinghan Shen, Martin Renqiang Min, Yitong Li et al.
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Sarthak Jain, Edward Banner, Jan-Willem van de Meent et al.
Learning End-to-End Goal-Oriented Dialog with Multiple Answers
Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh et al.
Learning Explanations from Language Data
David Harbecke, Robert Schwarzenberg, Christoph Alt
Learning Gender-Neutral Word Embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li et al.
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data
Guanghui Qin, Jin-Ge Yao, Xuening Wang et al.
Learning multiview embeddings for assessing dementia
Chloé Pou-Prom, Frank Rudzicz
Learning Named Entity Tagger using Domain-Specific Dictionary
Jingbo Shang, Liyuan Liu, Xiaotao Gu et al.
Learning Neural Representation for CLIR with Adversarial Framework
Bo Li, Ping Cheng
Learning Neural Templates for Text Generation
Sam Wiseman, Stuart Shieber, Alexander Rush
Learning Personas from Dialogue with Attentive Memory Networks
Eric Chu, Prashanth Vijayaraghavan, Deb Roy
Learning Representations for Detecting Abusive Language
Magnus Sahlgren, Tim Isbister, Fredrik Olsson
Learning representations for sentiment classification using Multi-task framework
Hardik Meisheri, Harshad Khadilkar
Learning Scalar Adjective Intensity from Paraphrases
Anne Cocos, Skyler Wharton, Ellie Pavlick et al.
Learning Sentiment Memories for Sentiment Modification without Parallel Data
Yi Zhang, Jingjing Xu, Pengcheng Yang et al.
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Alberto García-Durán, Sebastijan Dumančić, Mathias Niepert
Learning to Define Terms in the Software Domain
Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal et al.
Learning to Describe Differences Between Pairs of Similar Images
Harsh Jhamtani, Taylor Berg-Kirkpatrick
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Yaushian Wang, Hung-Yi Lee