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Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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| 2 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
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In: DTIC (2013)
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QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
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In: DTIC (2012)
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| 4 |
Speaker Clustering for a Mixture of Singing and Reading (Preprint)
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In: DTIC (2012)
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| 5 |
SAWUS: Siena's Automatic Wikipedia Update System
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In: DTIC (2012)
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| 6 |
Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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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).
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Keyword:
*INFORMATION RETRIEVAL; CANADA; ENTITIES; EXTRACTION; FOREIGN REPORTS; Information Science; LINGUISTICS; RANKING; RELATED ENTITY FINDING; STATISTICAL PROCESSES; SYMPOSIA
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA546752
http://www.dtic.mil/docs/citations/ADA546752
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| 9 |
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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| 10 |
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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| 11 |
A Journey in Entity Related Retrieval for TREC 2009
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In: DTIC (2009)
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| 13 |
Lucene for n-grams using the ClueWeb Collection
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In: DTIC (2009)
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| 14 |
BIT at TREC 2009 Faceted Blog Distillation Task
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In: DTIC (2009)
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| 15 |
Sparse Matrix Factorization: Applications to Latent Semantic Indexing
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In: DTIC (2009)
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| 16 |
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
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In: DTIC (2009)
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| 17 |
Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities
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In: DTIC (2009)
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| 18 |
POSTECH at TREC 2009 Blog Track: Top Stories Identification
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In: DTIC (2009)
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| 19 |
Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers
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In: DTIC (2009)
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| 20 |
University of Padua at TREC 2009: Relevance Feedback Track
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In: DTIC (2009)
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