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Knowledge Base Question Answering

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

Knowledge Base Q&A is the task of answering questions from a knowledge base.

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Greatest papers with code

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

NAACL 2019 hugochan/BAMnet

When answering natural language questions over knowledge bases (KBs), different question components and KB aspects play different roles.

INFORMATION RETRIEVAL KNOWLEDGE BASE QUESTION ANSWERING SEMANTIC PARSING

Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories

SEMEVAL 2018 UKPLab/starsem2018-entity-linking

We investigate entity linking in the context of a question answering task and present a jointly optimized neural architecture for entity mention detection and entity disambiguation that models the surrounding context on different levels of granularity.

ENTITY DISAMBIGUATION ENTITY LINKING KNOWLEDGE BASE QUESTION ANSWERING

Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering

ACL 2019 wudapeng268/KBQA-Adapter

However, one critical problem is that current approaches only get high accuracy for questions whose relations have been seen in the training data.

KNOWLEDGE BASE QUESTION ANSWERING

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

6 Dec 2018dengyang17/MTQA

Second, these two tasks can benefit each other: answer selection can incorporate the external knowledge from knowledge base (KB), while KBQA can be improved by learning contextual information from answer selection.

ANSWER SELECTION KNOWLEDGE BASE QUESTION ANSWERING MULTI-TASK LEARNING