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TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
TLDR
We present TriviaQA, a challenging reading comprehension dataset containing over 650K question-answer-evidence triples. Expand
QuAC : Question Answering in Context
TLDR
We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total). Expand
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking
TLDR
We present an analytic study on the language of news media in the context of political fact-checking and fake news detection to find linguistic characteristics of untrustworthy text. Expand
Scaling Semantic Parsers with On-the-Fly Ontology Matching
TLDR
We introduce a new semantic parsing approach for scalable, open-domain ontological reasoning that learns to resolve ontological mismatches. Expand
Zero-Shot Relation Extraction via Reading Comprehension
TLDR
We show that relation extraction can be reduced to answering simple reading comprehension questions, by associating one or more natural-language questions with each relation slot. Expand
Ultra-Fine Entity Typing
TLDR
We introduce a new entity typing task: given a sentence with an entity mention, the goal is to predict a set of free-form phrases (e.g. skyscraper, songwriter, or criminal) that describe appropriate types for the target entity. Expand
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
TLDR
Conversational machine comprehension requires the understanding of the conversation history, such as previous question/answer pairs, the document context, and the current question. Expand
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
TLDR
We present TyDi QA—a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. Expand
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
TLDR
We present the results of the Machine Reading for Question Answering (MRQA) 2019 shared task on evaluating the generalization capabilities of reading comprehension systems. Expand
Neural Metaphor Detection in Context
TLDR
We present end-to-end neural models for detecting metaphorical word use in context. Expand
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