Learning Automatic Question Answering from Community Data
Although traditional search engines can retrieval thousands or millions of web links related to input keywords, users still need to manually locate answers to their information needs from multiple returned documents or initiate further searches. Question Answering (QA) is an effective paradigm to ad...
Main Author: | Wang, Di |
---|---|
Language: | en |
Published: |
2012
|
Subjects: | |
Online Access: | http://hdl.handle.net/10012/6995 |
Similar Items
-
Learning Automatic Question Answering from Community Data
by: Wang, Di
Published: (2012) -
Arabic Question Answering Systems: Gap Analysis
by: Mariam M. Biltawi, et al.
Published: (2021-01-01) -
A question-entailment approach to question answering
by: Asma Ben Abacha, et al.
Published: (2019-10-01) -
A literature review on question answering techniques, paradigms and systems
by: Marco Antonio Calijorne Soares, et al.
Published: (2020-07-01) -
Answer Category-Aware Answer Selection for Question Answering
by: Weijing Wu, et al.
Published: (2021-01-01)