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Aitao Chen

dblp:72/1942 · DBLP profile ↗
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7ranked-venue papers
4as first author
0since 2021 · last 2008
—ORCID · none

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

Databases, data management, data science and information retrieval · 6 · 3 first-authorArtificial intelligence and machine learning · 2 · 2 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.

Databases, data mining, and information retrieval
4 papers
Information retrieval · 76% Data mining · 24%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
cross-language information retrieval		 0.122004
Geotemporal querying of multilingual documents · SIGIR 2004
Translingual vocabulary mappings for multilingual information access · SIGIR 2002
Data mining › text mining
information extraction		 0.012004
Geotemporal querying of multilingual documents · SIGIR 2004
Information retrieval › document retrieval
metadata-based retrieval		 0.011999
Advanced Search Technologies for Unfamiliar Metadata (demonstration abstract) · SIGIR 1999
Information retrieval › cross-language information retrieval
chinese text retrieval		 0.011997
Chinese Text Retrieval Without Using a Dictionary · SIGIR 1997

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

gazetteer matching · 0.0demonstration · 0.0statistical word segmentation · 0.0bigram indexing · 0.0
YearPublicationVenuePosition
2008 A Two-Stage Approach to Chinese Part-of-Speech Tagging
Aitao Chen, Ya Zhang 0002, Gordon Sun
 IJCNLP1
2004 Geotemporal querying of multilingual documents
abstract
This demonstration utilizes a geographic information system interface to display multilingual news documents in time and space by extracting place names from text and matching them to a multilingual multi-script gazetteer which identifies the latitude and longitude of the location.
Fredric C. Gey, Aitao Chen, Ray R. Larson, Kim Carl
 SIGIR2
2004 Multilingual Information Retrieval Using Machine Translation, Relevance Feedback and Decompounding
Aitao Chen, Fredric C. Gey
 Inf. Retr.1
2002 Translingual vocabulary mappings for multilingual information access
abstract
No abstract available.
Fredric C. Gey, Aitao Chen, Michael K. Buckland, Ray R. Larson
 SIGIR2
1999 Advanced Search Technologies for Unfamiliar Metadata (demonstration abstract)
abstract
No abstract available.
Barbara A. Norgard, Youngin Kim 0004, Michael K. Buckland, Aitao Chen, Ray R. Larson, Fred Gaey
 SIGIR4
1998 A Comparison of Regression, Neural Net, and Pattern Recognition Approaches to IR
Aitao Chen
 CIKM1
1997 Chinese Text Retrieval Without Using a Dictionary
abstract
It is generafly believed that words, rather than characters, should be the smallest indexing unit for Chinese text retrieval systems, and that it is essential to have a comprehensive Chinese dictionary or lexicon for Chhmse text retrieval systems to do well.Chinese text has no delimiters to mark woni boundaries.As a result, any text retrieval systems that build word-based indexes need to segment text into words.We implemented several statistical and dictionary-hazed word segmentation methods to study the effect on retrieval effectiveness of different segmentation methods using the TREC-S Chinese test collection and topics.The results show that, for all three sets of queries, the simple bigram indexing and the purely statistical word segmentation perform better than the popular dictionary-based maximum matching method with a dictionary of 138,955 entries.
Aitao Chen, Jianzhang He, Liangjie Xu, Fredric C. Gey, Jason Meggs
 SIGIR1