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Mao-Zhu Yang

dblp:04/1870 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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

Artificial intelligence and machine learning · 1

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
Question answering and dialogue systems · 44% Language models and text generation · 44% Knowledge representation and reasoning · 13%

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
discourse modeling		 0.112006
Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic Dependency Graphs · ACL 2006
Natural language and speech › Question answering and dialogue systems
spoken dialogue systems		 0.112006
Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic Dependency Graphs · ACL 2006

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

stochastic modeling · 0.1
YearPublicationVenuePosition
2006 Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic Dependency Graphs
Jui-Feng Yeh, Chung-Hsien Wu 0001, Mao-Zhu Yang
 ACL3