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Open-Domain Question Answering

18 papers with code · Natural Language Processing
Subtask of Question Answering

Open-domain question answering is the task of question answering on open-domain datasets such as Wikipedia.

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Greatest papers with code

Reading Wikipedia to Answer Open-Domain Questions

ACL 2017 facebookresearch/ParlAI

This paper proposes to tackle open- domain question answering using Wikipedia as the unique knowledge source: the answer to any factoid question is a text span in a Wikipedia article.

OPEN-DOMAIN QUESTION ANSWERING READING COMPREHENSION

Bidirectional Attention Flow for Machine Comprehension

5 Nov 2016allenai/bi-att-flow

Machine comprehension (MC), answering a query about a given context paragraph, requires modeling complex interactions between the context and the query.

OPEN-DOMAIN QUESTION ANSWERING READING COMPREHENSION

Deep Learning for Answer Sentence Selection

4 Dec 2014brmson/dataset-sts

Answer sentence selection is the task of identifying sentences that contain the answer to a given question.

FEATURE ENGINEERING OPEN-DOMAIN QUESTION ANSWERING

SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

18 Apr 2017google/active-qa

We publicly release a new large-scale dataset, called SearchQA, for machine comprehension, or question-answering.

OPEN-DOMAIN QUESTION ANSWERING READING COMPREHENSION

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

EMNLP 2018 OceanskySun/GraftNet

In this paper we look at a more practical setting, namely QA over the combination of a KB and entity-linked text, which is appropriate when an incomplete KB is available with a large text corpus.

GRAPH REPRESENTATION LEARNING OPEN-DOMAIN QUESTION ANSWERING

Text Understanding with the Attention Sum Reader Network

ACL 2016 rkadlec/asreader

Several large cloze-style context-question-answer datasets have been introduced recently: the CNN and Daily Mail news data and the Children's Book Test.

MACHINE READING COMPREHENSION OPEN-DOMAIN QUESTION ANSWERING

A Question-Focused Multi-Factor Attention Network for Question Answering

25 Jan 2018nusnlp/amanda

Neural network models recently proposed for question answering (QA) primarily focus on capturing the passage-question relation.

OPEN-DOMAIN QUESTION ANSWERING READING COMPREHENSION

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

ICLR 2018 shuohangwang/mprc

We propose two methods, namely, strength-based re-ranking and coverage-based re-ranking, to make use of the aggregated evidence from different passages to better determine the answer.

OPEN-DOMAIN QUESTION ANSWERING READING COMPREHENSION