Papers
Coupling Global and Local Context for Unsupervised Aspect Extraction
Ming Liao, Jing Li, Haisong Zhang et al.
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
Chen Zhang, Qiuchi Li, Dawei Song
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks
Zehao Lin, Xinjing Huang, Feng Ji et al.
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue
Jun Quan, Deyi Xiong, Bonnie Webber et al.
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
Emily Dinan, Samuel Humeau, Bharath Chintagunta et al.
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data
Denis Peskov, Nancy Clarke, Jason Krone et al.
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar et al.
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha, Shagun Sodhani, Jin Dong et al.
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
Bhavana Dalvi, Niket Tandon, Antoine Bosselut et al.
Posing Fair Generalization Tasks for Natural Language Inference
Atticus Geiger, Ignacio Cases, Lauri Karttunen et al.
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
Yichen Jiang, Mohit Bansal
Social IQa: Commonsense Reasoning about Social Interactions
Maarten Sap, Hannah Rashkin, Derek Chen et al.
Jointly Learning to Align and Translate with Transformer Models
Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy et al.
Contrastive Language Adaptation for Cross-Lingual Stance Detection
Mitra Mohtarami, James Glass, Preslav Nakov
Aligning Cross-Lingual Entities with Multi-Aspect Information
Hsiu-Wei Yang, Yanyan Zou, Peng Shi et al.
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings
Haozhou Wang, James Henderson, Paola Merlo
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
Ivan Vulić, Goran Glavaš, Roi Reichart et al.
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita, Rico Sennrich, Ivan Titov
Countering Language Drift via Visual Grounding
Jason Lee, Kyunghyun Cho, Douwe Kiela
Machine Translation With Weakly Paired Documents
Lijun Wu, Jinhua Zhu, Di He et al.
Revealing the Dark Secrets of BERT
Olga Kovaleva, Alexey Romanov, Anna Rogers et al.
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
Jiawei Wu, Wenhan Xiong, William Yang Wang
Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada et al.
Neural Gaussian Copula for Variational Autoencoder
Prince Zizhuang Wang, William Yang Wang
Patient Knowledge Distillation for BERT Model Compression
Siqi Sun, Yu Cheng, Zhe Gan et al.