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Neural Methods Towards Concept Discovery from Text via Knowledge Transfer
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1572387318988274 (2019)
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| 2 |
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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BIT at TREC 2009 Faceted Blog Distillation Task
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In: DTIC (2009)
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POSTECH at TREC 2009 Blog Track: Top Stories Identification
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In: DTIC (2009)
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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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PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
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In: DTIC (2009)
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| 8 |
Experiments on Related Entity Finding Track at TREC 2009
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In: DTIC (2009)
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THUIR at TREC 2009 Web Track: Finding Relevant and Diverse Results for Large Scale Web Search
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In: DTIC (2009)
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| 11 |
A Hybrid Method for Opinion Finding Task (KUNLP at TREC 2008 Blog Track)
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In: DTIC (2008)
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| 12 |
TREC 2008 at the University at Buffalo: Legal and Blog Track
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In: DTIC (2008)
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KLE at TREC 2008 Blog Track: Blog Post and Feed Retrieval
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In: DTIC (2008)
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Abstract:
This paper describes our participation in the TREC 2008 Blog Track. For the opinion task, we made an opinion retrieval model that consists of preprocessing, topic retrieval, opinion finding, and sentiment classification parts. For topic retrieval, our system is based on the passage-based retrieval model and feedback. For the opinion analysis, we created a PSEUDO OPINIONATED WORD (POW), O, which is representative of all opinion words, and expanded the original query with O. For the blog distillation task, we integrated the average score of all posts within a feed, and the average score of the most relevant N post scores. We also examined the pseudo-relevance feedback for the distillation task by focusing on various document selection schemes to expand the query terms. The experimental results show a significant improvement over previous results. ; Seventeenth Text REtrieval Conference (TREC 2008) held in Gaithersburg, Maryland, November on 18-21, 2008. Sponsored in part by the Defense Advanced Research Projects Agency (DARPA), and the Advanced Research and Development Activity (ARDA).
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Keyword:
*BLOG; *CLASSIFICATION; *INFORMATION RETRIEVAL; CORPUS-BASED LEXICON; DISTILLATION; FEEDBACK; FOREIGN REPORTS; GEM(GLOBAL EVIDENCE MODEL); Information Science; INTEGRATION; LEARNING; MODELS; POLARITY; POW(PSEUDO OPINIONATED WORD); QUEUEING THEORY; RANKING; SOUTH KOREA; SYMPOSIA; WORDS(LANGUAGE)
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URL: http://www.dtic.mil/docs/citations/ADA512670
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA512670
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| 15 |
Incorporating Relevance and Psuedo-Relevance Feedback in the Markov Random Field Model
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In: DTIC (2008)
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| 16 |
Sparse Information Extraction: Unsupervised Language Models to the Rescue
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In: DTIC (2007)
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