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Result Diversity and Entity Ranking Experiments: Anchors, Links, Text and Wikipedia
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In: DTIC (2009)
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82 |
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
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In: DTIC (2009)
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83 |
A Study of Faceted Blog Distillation -- PRIS at TREC 2009 Blog Track
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In: DTIC (2009)
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85 |
Formulating Simple Structured Queries using Temporal and Distributional Cues in Patents
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In: DTIC (2009)
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86 |
Experiments on Related Entity Finding Track at TREC 2009
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In: DTIC (2009)
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87 |
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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88 |
PARADISE Based Search Engine at TREC 2009 Web Track
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In: DTIC (2009)
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89 |
Microsoft Research at TREC 2009. Web and Relevance Feedback Tracks
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In: DTIC (2009)
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90 |
FEUP at TREC 2009 Blog Track: Temporal Evidence in the Faceted Blog Distillation Task
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In: DTIC (2009)
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91 |
A Comparison of Query-by-Example Methods for Spoken Term Detection
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In: DTIC (2009)
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92 |
The Multi-Session Audio Research Project (MARP) Corpus: Goals, Design and Initial Findings
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In: DTIC (2009)
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93 |
Long Term Examination of Intra-Session and Inter-Session Speaker Variability
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In: DTIC (2009)
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95 |
Perturbation and Pitch Normalization as Enhancements to Speaker Recognition
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In: DTIC (2009)
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96 |
Long Term Examination of Intra-Session and Inter-Session Speaker Variability
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In: DTIC (2009)
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97 |
Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track
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In: DTIC (2009)
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98 |
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
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In: DTIC (2009)
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Abstract:
In this paper, we outline our experiments carried out at the TREC 2009 Blog Distillation Task. Our system is based on a plain text index extracted from the XML feeds of the TREC Blogs08 dataset. This index was used to retrieve candidate blogs for the given topics. The resulting blogs were classified using a Support Vector Machine that was trained on a manually labelled subset of the TREC Blogs08 dataset. Our experiments included three runs on different features: firstly on nouns, secondly on stylometric properties, and thirdly on punctuation statistics. The facet identification based on our approach was successful, although a significant number of candidate blogs were not retrieved at all. ; Presented at the Text REtrieval Conference (TREC 2009, 18th) held in Gaithersburg, Maryland on 17-20 November 2009. Published in the Proceedings of the Text REtrieval Conference (TREC 2009, 18th), 2009. The conference was co-sponsored 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:
*BLOGS(INTERNET); *INFORMATION RETRIEVAL; *INFORMATION SCIENCES; *INTERNET; *IR(INFORMATION RETRIEVAL); *SOCIAL COMMUNICATION; AUSTRIA; Computer Programming and Software; DISTILLATION; Equipment and Methods; FOREIGN REPORTS; Information Science; Linguistics; RELEVANCE(INFORMATION SCIENCES); REPRINTS; STYLOMETRICS; SVM(SUPPORT VECTOR MACHINES); SYMPOSIA; Test Facilities; WORDS(LANGUAGE)
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URL: http://www.dtic.mil/docs/citations/ADA517854 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517854
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99 |
Patent Retrieval in Chemistry based on Semantically Tagged Named Entities
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In: DTIC (2009)
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100 |
A Hybrid Method for Opinion Finding Task (KUNLP at TREC 2008 Blog Track)
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In: DTIC (2008)
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