Papers
Joint Embedding of Words and Labels for Text Classification
Guoyin Wang, Chunyuan Li, Wenlin Wang et al.
A Deep Relevance Model for Zero-Shot Document Filtering
Chenliang Li, Wei Zhou, Feng Ji et al.
Modeling Naive Psychology of Characters in Simple Commonsense Stories
Hannah Rashkin, Antoine Bosselut, Maarten Sap et al.
Joint Reasoning for Temporal and Causal Relations
Qiang Ning, Zhili Feng, Hao Wu et al.
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text
Shashank Srivastava, Nebojsa Jojic
Discourse Coherence: Concurrent Explicit and Implicit Relations
Hannah Rohde, Alexander Johnson, Nathan Schneider et al.
Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan et al.
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria et al.
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment
Yue Gu, Kangning Yang, Shiyu Fu et al.
Efficient Large-Scale Neural Domain Classification with Personalized Attention
Young-Bum Kim, Dongchan Kim, Anjishnu Kumar et al.
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek et al.
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
Yansen Wang, Chenyi Liu, Minlie Huang et al.
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning
Baolin Peng, Xiujun Li, Jianfeng Gao et al.
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction
Wenya Wang, Sinno Jialin Pan
Zero-Shot Transfer Learning for Event Extraction
Lifu Huang, Heng Ji, Kyunghyun Cho et al.
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
Ryo Takahashi, Ran Tian, Kentaro Inui
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
Pengda Qin, Weiran Xu, William Yang Wang
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, German Kruszewski, Guillaume Lample et al.
To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic Relatedness
Amulya Gupta, Zhu Zhang
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers
Georgios Spithourakis, Sebastian Riedel
Token-level and sequence-level loss smoothing for RNN language models
Maha Elbayad, Laurent Besacier, Jakob Verbeek
Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
Bingfeng Luo, Yansong Feng, Zheng Wang et al.
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation
Alane Suhr, Yoav Artzi
Syntax for Semantic Role Labeling, To Be, Or Not To Be
Shexia He, Zuchao Li, Hai Zhao et al.