153 citations · 601 across the 67 of their papers we have counts for
16 papers · 1 filter
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Yixin Nie, Haonan Chen, Mohit Bansal
The increasing concern with misinformation has stimulated research efforts on automatic fact checking. The recently-released FEVER dataset introduced a benchmark fact-verification…
Analyzing Compositionality-Sensitivity of NLI Models
Yixin Nie, Yicheng Wang, Mohit Bansal
Success in natural language inference (NLI) should require a model to understand both lexical and compositional semantics. However, through adversarial evaluation, we find that sev…
Game-Based Video-Context Dialogue
Ramakanth Pasunuru, Mohit Bansal
Current dialogue systems focus more on textual and speech context knowledge and are usually based on two speakers. Some recent work has investigated static image-based dialogue. Ho…
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories
Sweta Karlekar, Mohit Bansal
With the recent rise of #MeToo, an increasing number of personal stories about sexual harassment and sexual abuse have been shared online. In order to push forward the fight agains…
Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang, Mohit Bansal
A good neural sequence-to-sequence summarization model should have a strong encoder that can distill and memorize the important information from long input texts so that the decode…
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models
Tong Niu, Mohit Bansal
We present two categories of model-agnostic adversarial strategies that reveal the weaknesses of several generative, task-oriented dialogue models: Should-Not-Change strategies tha…