activity
20152023
most citedLearn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

215 citations · 1.4k across the 85 of their papers we have counts for

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Showing 2019Show all

17 papers · 1 filter

cs.LG2019

Towards Understanding Gender Bias in Relation Extraction

Andrew Gaut, Tony Sun, Shirlyn Tang +8

Recent developments in Neural Relation Extraction (NRE) have made significant strides towards Automated Knowledge Base Construction (AKBC). While much attention has been dedicated…

cs.CL2019★ 11 cited

The Woman Worked as a Babysitter: On Biases in Language Generation

Emily Sheng, Kai-Wei Chang, Premkumar Natarajan +1

We present a systematic study of biases in natural language generation (NLG) by analyzing text generated from prompts that contain mentions of different demographic groups. In this…

cs.LG2019

BOSH: An Efficient Meta Algorithm for Decision-based Attacks

Zhenxin Xiao, Puyudi Yang, Yuchen Jiang +2

Adversarial example generation becomes a viable method for evaluating the robustness of a machine learning model. In this paper, we consider hard-label black-box attacks (a.k.a. de…

cs.CL2019

Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma +2

Cross-lingual transfer learning has become an important weapon to battle the unavailability of annotated resources for low-resource languages. One of the fundamental techniques to…

cs.CL2019

Retrofitting Contextualized Word Embeddings with Paraphrases

Weijia Shi, Muhao Chen, Pei Zhou +1

Contextualized word embedding models, such as ELMo, generate meaningful representations of words and their context. These models have been shown to have a great impact on downstrea…

cs.CL2019

Visualizing Trends of Key Roles in News Articles

Chen Xia, Haoxiang Zhang, Jacob Moghtader +2

There are tons of news articles generated every day reflecting the activities of key roles such as people, organizations and political parties. Analyzing these key roles allows us…