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Question Answering

351 papers with code ยท Natural Language Processing

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VL-BERT: Pre-training of Generic Visual-Linguistic Representations

22 Aug 2019

We introduce a new pre-trainable generic representation for visual-linguistic tasks, called Visual-Linguistic BERT (VL-BERT for short).

LANGUAGE MODELLING QUESTION ANSWERING VISUAL COMMONSENSE REASONING VISUAL QUESTION ANSWERING

Revisit Semantic Representation and Tree Search for Similar Question Retrieval

22 Aug 2019

We compute the representation for all the sentences in advance and leverage k-d tree to accelerate the speed.

INFORMATION RETRIEVAL QUESTION ANSWERING

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering

22 Aug 2019

To tackle this issue, we propose a multi-passage BERT model to globally normalize answer scores across all passages of the same question, and this change enables our QA model find better answers by utilizing more passages.

OPEN-DOMAIN QUESTION ANSWERING

Message Passing for Complex Question Answering over Knowledge Graphs

19 Aug 2019

We propose a novel approach for complex KGQA that uses unsupervised message passing, which propagates confidence scores obtained by parsing an input question and matching terms in the knowledge graph to a set of possible answers.

KNOWLEDGE GRAPHS QUESTION ANSWERING

A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints

19 Aug 2019

We study the use of BERT for non-factoid question-answering, focusing on the passage re-ranking task under varying passage lengths.

LEARNING-TO-RANK PASSAGE RE-RANKING QUESTION ANSWERING

Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models

19 Aug 2019

In this paper, we develop a pre-training approach for incorporating commonsense knowledge into language representation models.

NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SENTENCE CLASSIFICATION

Question Answering based Clinical Text Structuring Using Pre-trained Language Model

19 Aug 2019

Clinical text structuring is a critical and fundamental task for clinical research.

LANGUAGE MODELLING QUESTION ANSWERING

Transfer in Deep Reinforcement Learning using Knowledge Graphs

19 Aug 2019

Text adventure games, in which players must make sense of the world through text descriptions and declare actions through text descriptions, provide a stepping stone toward grounding action in language.

KNOWLEDGE GRAPHS QUESTION ANSWERING TRANSFER LEARNING