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Tim Gollins

dblp:49/5285 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

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

Databases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval
cross-language information retrieval
0.012001
Improving Cross Language Information Retrieval with Triangulated Translation · SIGIR 2001
Information retrieval › cross-language information retrieval
query translation
0.012001
Improving Cross Language Information Retrieval with Triangulated Translation · SIGIR 2001
Information retrieval › distributed information retrieval
result fusion
0.012001
Improving Cross Language Information Retrieval with Triangulated Translation · SIGIR 2001

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

transitive translation · 0.0result fusion · 0.0
YearPublicationVenuePosition
2001 Improving Cross Language Information Retrieval with Triangulated Translation
abstract
Most approaches to cross language information retrieval assume that resources providing a direct translation between the query and document languages exist. This paper presents research examining the situation where such an assumption is false. Here, an intermediate (or pivot) language provides a means of transitive translation of the query language to that of the document via the pivot, at the cost, however, of introducing much error. The paper reports the novel approach of translating in parallel across multiple intermediate languages and fusing the results. Such a technique removes the error, raising the effectiveness of the tested retrieval system, up to and possibly above the level expected, had a direct translation route existed. Across a number of retrieval situations and combinations of languages, the approach proves to be highly effective.
Tim Gollins, Mark Sanderson
SIGIR1