Knowledge base question answering with topic units
Knowledge base question answering (KBQA) is an important task in natural language processing. Existing methods for KBQA usually start with entity linking, which considers mostly named entities found in a question as the starting points in the KB to search for answers to the question. However, relyin...
Saved in:
Main Authors: | LAN, Yunshi, WANG, Shuohang, JIANG, Jing |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4440 https://ink.library.smu.edu.sg/context/sis_research/article/5443/viewcontent/8._Knowledge_Base_Question_Answering_with_Topic_Units__IJCAI2019_.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Knowledge base question answering with a matching-aggregation model and question-specific contextual relations
by: LAN, Yunshi, et al.
Published: (2019) -
Multi-hop knowledge base question answering with an iterative sequence matching model
by: LAN, Yunshi, et al.
Published: (2019) -
Complex knowledge base question answering: A survey
by: LAN, Yunshi, et al.
Published: (2023) -
Using knowledge bases for question answering
by: LAN, Yunshi
Published: (2020) -
Retrieving questions and answers in community-based question answering services
by: WANG KAI
Published: (2011)