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A Structural Theory of Derivations
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In: Proceedings of the Society for Computation in Linguistics (2018)
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Assigning Grammatical Gender to Novel Nouns in L1 and L2 Spanish
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In: Doctoral Dissertations (2017)
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USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
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In: DTIC (2013)
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The Representation and Processing of Tense, Aspect & Voice across Verbal Elements in English
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In: DTIC (2012)
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Review of: Linguistics and the formal sciences: The origins of generative grammar, by Marcus Tomalin
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Extending Phrase-Based Decoding with a Dependency-Based Reordering Model
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In: DTIC (2009)
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Formulating Simple Structured Queries using Temporal and Distributional Cues in Patents
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In: DTIC (2009)
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Abstract:
Patent prior art retrieval aims to find related publications, especially patents, which may invalidate the patent. The task exhibits its own characteristic because of the possible use of a whole patent as a query. This work focuses on the use of date fields and content fields of the query patent to formulate effective structured queries. Retrieval is performed on the collection of patents which also share the same structure as the query patent, mainly priority dates, application date, publication date and content fields. Unsurprisingly, results show that filtering using date information improves retrieval significantly. However, results also show that a careful choice of the date filter is important, given the multiple date fields existent in a patent. The actual ranking query is constructed based on word distributions of title, claims and content fields of the query patent. The overall MAP of this citation finding task is still in the lower 0.1 range. An error analysis focusing on the lower performing topics finds that the citation finding task (given publication recommend citations, which is a very similar setup as this year's prior art evaluation) can be very different from the prior art task (finding patents that invalidates the query patent). It raises the concern that just the citations included in query patents can be a biased and incomplete set of relevance judgements for the prior art task. ; Proceedings of the Eighteenth Text REtrieval Conference (TREC 2009) held in Gaithersburg, Maryland, November 17-20, 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:
*INFORMATION RETRIEVAL; *PATENTS; *QUEUEING THEORY; CITATIONS; COLLECTION; DATE FIELDS; ERROR ANALYSIS; FILTERS; Information Science; Linguistics; Operations Research; PHRASE STRUCTURE GRAMMARS; RANKING; SCENARIOS; SYMPOSIA; TASKS; WORDS(LANGUAGE)
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517684
http://www.dtic.mil/docs/citations/ADA517684
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Experimental Facility for Measuring the Impact of Environmental Noise and Speaker Variation on Speech-to-Speech Translation Devices
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In: DTIC (2006)
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Using WSD Techniques for Lexical Selection in Statistical Machine Translation
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In: DTIC (2005)
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Science and Technology Text Mining: Wireless LANS
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In: DTIC AND NTIS (2005)
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Morphological Analysis for Statistical Machine Translation
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In: DTIC (2004)
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Science and Technology Text Mining: Electric Power Sources
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In: DTIC AND NTIS (2004)
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Science and Technology Text Mining: Nonlinear Dynamics
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In: DTIC AND NTIS (2004)
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Morpho-syntactic annotation and dependency parsing of German ; Morphosyntaktische Annotation und Dependenzparsing des Deutschen
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