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Xian Zhang 0006

dblp:56/5624-6 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2014
0000-0001-8478-7047ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Language models and text generation · 100%
Theoretical computer science
1 paper
Information theory · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › natural language understanding › question answering
question answering systems		 0.112007
Information distance from a question to an answer · KDD 2007
Information theory › algorithmic information theory
information distance		 0.112007
Information distance from a question to an answer · KDD 2007

Methods — techniques the papers use, named apart from their topics

information distance theory · 0.1
YearPublicationVenuePosition
2014 A Chinese Question Answering System for Specific Domain
Tanche Li, Yu Hao 0001, Xiaoyan Zhu 0001, Xian Zhang 0006
 WAIM4
2008 Classifying What-Type Questions by Head Noun Tagging
Fangtao Li, Xian Zhang 0006, Jinhui Yuan, Xiaoyan Zhu 0001
 COLING2
2008 New Information Distance Measure and Its Application in Question Answering System
Xian Zhang 0006, Yu Hao 0001, Xiaoyan Zhu 0001, Ming Li 0001
 J. Comput. Sci. Technol.1
2007 Information distance from a question to an answer
abstract
We provide three key missing pieces of a general theory of information distance [3, 23, 24]. We take bold steps in formulating a revised theory to avoid some pitfalls in practical applications. The new theory is then used to construct a question answering system. Extensive experiments are conducted to justify the new theory.
Xian Zhang 0006, Yu Hao 0001, Xiaoyan Zhu 0001, Ming Li 0001, David R. Cheriton
 KDD1