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Simple Search
Hits 1 – 6 of 6
1
Deep Learning for Text Style Transfer: A Survey ...
Jin, Di
;
Jin, Zhijing
;
Hu, Zhiting
. - : ETH Zurich, 2022
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2
Deep Learning for Text Style Transfer: A Survey
Vechtomova, Olga
;
Jin, Zhijing
;
Hu, Zhiting
...
In: Computational Linguistics, 48 (1) (2022)
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3
Deep Learning for Text Style Transfer: A Survey ...
Jin, Di
;
Jin, Zhijing
;
Hu, Zhiting
. - : arXiv, 2020
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4
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
Vechtomova, Olga
In: DTIC (2010)
Abstract:
The University of Waterloo participated in the Related Entity Finding task of the Entity track. Our goal is to investigate whether related entity finding problem can be addressed by unsupervised approaches that rely primarily on statistical methods and common linguistic tools, such as named-entity taggers and syntactic parsers. We approach the related entity finding problem by first retrieving documents in response to the query, and extracting an initial set of candidate entities from the text of the documents. As a separate step, we automatically construct a set of seed entities, which represent hyponyms of the target entity category specified in the narrative, and then rank the candidate entities by their similarity to the seeds. An example of the target entity category name is "authors", extracted from the narrative "Authors awarded an Anthony Award at Bouchercon in 2007" (2009 topic #14). The system extracts category names from the free-text narrative, finds seed entities belonging to each category, and computes the similarity of candidate entities to the seeds. ; Presented at the Text REtrieval Conference (TREC 2010) (19th) held in Gaithersburg, Maryland on 16-19 November 2010. Published in the Proceedings of the Text Retrieval Conference (TREC 2010) (19th), 2010. Sponsored in part by the National Institute of Standards and Technology (NIST), the Defense Advanced Research Projects Agency (DARPA), and the Advanced Research and Development Activity (ARDA).
Keyword:
*INFORMATION RETRIEVAL
;
CANADA
;
ENTITIES
;
EXTRACTION
;
FOREIGN REPORTS
;
Information Science
;
LINGUISTICS
;
RANKING
;
RELATED ENTITY FINDING
;
STATISTICAL PROCESSES
;
SYMPOSIA
URL:
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA546752
http://www.dtic.mil/docs/citations/ADA546752
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5
University of Waterloo at TREC 2008 Blog Track
Vechtomova, Olga
In: DTIC (2008)
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6
Noun phrases in interactive query expansion and document ranking
Vechtomova, Olga
In:
Information Retrieval Journal. - Dordrecht [u.a.] : Springer Science + Business Media B.V.
9 (2006) 4, 399-420
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