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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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A Study of Faceted Blog Distillation -- PRIS at TREC 2009 Blog Track
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In: DTIC (2009)
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24 |
Formulating Simple Structured Queries using Temporal and Distributional Cues in Patents
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In: DTIC (2009)
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25 |
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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27 |
PARADISE Based Search Engine at TREC 2009 Web Track
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In: DTIC (2009)
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28 |
Microsoft Research at TREC 2009. Web and Relevance Feedback Tracks
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In: DTIC (2009)
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29 |
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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30 |
A Comparison of Query-by-Example Methods for Spoken Term Detection
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In: DTIC (2009)
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31 |
The Multi-Session Audio Research Project (MARP) Corpus: Goals, Design and Initial Findings
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In: DTIC (2009)
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32 |
Long Term Examination of Intra-Session and Inter-Session Speaker Variability
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In: DTIC (2009)
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34 |
Perturbation and Pitch Normalization as Enhancements to Speaker Recognition
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In: DTIC (2009)
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35 |
Long Term Examination of Intra-Session and Inter-Session Speaker Variability
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In: DTIC (2009)
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36 |
Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track
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In: DTIC (2009)
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37 |
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
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In: DTIC (2009)
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38 |
Patent Retrieval in Chemistry based on Semantically Tagged Named Entities
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In: DTIC (2009)
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Abstract:
This paper reports on the work that has been conducted by Fraunhofer SCAI for Trec Chemistry (Trec-Chem) track 2009. The team of Fraunhofer SCAI participated in two tasks, namely Technology Survey and Prior Art Search. The core of the framework is an index of 1.2 million chemical patents provided as a data set by Trec. For the technology survey, three runs were submitted based on semantic dictionaries and noun phrases. For the prior art search task, several fields were introduced into the index that contained normalized noun phrases, biomedical as well as chemical entities. Altogether, 36 runs were submitted for this task that were based on automatic querying with tokens, noun phrases and entities along with different search strategies. ; Prepared in cooperation with Bonn-Aachen International Centre for Information Technology (B-IT), Bonn, Germany. Proceedings of the Text REtrieval Conference (18th), TREC 2009, held in Gaithersburg, MD, 17-20 Nov 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). The original document contains color images.
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Keyword:
*BIOMEDICINE; *CHEMISTRY; *INDEXES; *PATENTS; AUTOMATIC QUERYING; Computer Programming and Software; DATA BASES; FOREIGN REPORTS; GERMANY; INFORMATION RETRIEVAL; Information Science; MARKUP LANGUAGES; NOUN PHRASES; PREPROCESSING; SEMANTIC DICTIONARIES; SEMANTICS; SYMPOSIA; TEXT PROCESSING
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA519347 http://www.dtic.mil/docs/citations/ADA519347
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