• Publications
  • Influence
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
TLDR
We present a new kind of question answering dataset, OpenBookQA, modeled after open book exams for assessing human understanding of a subject. Expand
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Hunting for Troll Comments in News Community Forums
There are different definitions of what a troll is. Certainly, a troll can be somebody who teases people to make them angry, or somebody who offends people, or somebody who wants to dominate anyExpand
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The dark side of news community forums: opinion manipulation trolls
TLDR
The purpose of this paper is to explore the dark side of news community forums: the proliferation of opinion manipulation trolls. Expand
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Finding Opinion Manipulation Trolls in News Community Forums
TLDR
We show that we can train a classifier to distinguish a likely troll from a non-troll with very high accuracy, 82‐95%, thanks to our rich feature set. Expand
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Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge
TLDR
We introduce a neural reading comprehension model that integrates external commonsense knowledge, encoded as a key-value memory, in a cloze-style setting. Expand
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SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering
TLDR
We present the system we built for participating in SemEval-2016 Task 3 on Community Question Answering. Expand
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Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings
TLDR
This paper describes our system for the CoNLL 2016 Shared Task’s supplementary task on Discourse Relation Sense Classification, ranking first in the Overall ranking for the task. Expand
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Story Cloze Ending Selection Baselines and Data Examination
TLDR
We present an LSTM-based classifier with different representation encodings that tries to model the relation between the story and alternative endings and argue about its inability to do so. Expand
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Exposing Paid Opinion Manipulation Trolls
TLDR
In this paper, we solve the training data problem by assuming that a user who is called a troll by several different people is likely to be such, and one who has never been called a Troll is unlikely to be. Expand
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Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension
TLDR
We propose to use linguistic annotations as a basis for a Discourse-Aware Semantic Self-Attention encoder that we employ for reading comprehension on narrative texts. Expand
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