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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 36 1 A dependency perspective on the adequacy of tree local multi-component tree adjoining grammar Chen-Main, Joan; Joshi, Aravind K.. - : Oxford University Press, 2012 BASE Show details 2 LTAG-spinal and the Treebank: a new resource for incremental, dependency and semantic parsing Shen, Libin; Champollion, Lucas; Joshi, Aravind K.. - : Universität Tübingen, 2012 BASE Show details 3 Discourse Indicators for Content Selection in Summaization Louis, Annie; Joshi, Aravind K; Nenkova, Ani In: Departmental Papers (CIS) (2010) BASE Show details 4 Using Entity Features to Classify Implicit Discourse Relations Joshi, Aravind K; Prasad, Rashmi; Louis, Annie... In: Departmental Papers (CIS) (2010) BASE Show details 5 Sense Annotation in the Penn Discourse Treebank Miltsakaki, Eleni; Robaldo, Livio; Lee, Alan... In: Departmental Papers (CIS) (2008) BASE Show details 6 Computational linguistics: A new tool for exploring biopolymer structures and statistical mechanics Dill, Ken A; Lucas, Adam; Hockenmaier, Julia... In: Dill, Ken A; Lucas, Adam; Hockenmaier, Julia; Huang, Liang; Chiang, David; & Joshi, Aravind K.(2007). Computational linguistics: A new tool for exploring biopolymer structures and statistical mechanics. Polymer, 48, 4289 - 4300. doi:10.1016/j.polymer.2007.05.018. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/235458px (2007) BASE Show details 7 Detecting Compositionality of Verb-Object Combinations using Selectional Preferences Venkatapathy, Sriram; McCarthy, Diana; Joshi, Aravind K. - : The Association for Computational Linguistics, 2007 BASE Show details 8 Attribution and its annotation in the Penn Discourse TreeBank Prasad, Rashmi; Dinesh, Nikhil; Lee, Alan... In: Traitement automatique des langues. - Paris : ATALA 47 (2006) 2, 43-64 BLLDB Show details 9 Relative compositionality of multi-word expressions: a study of verb-noun (V-N) collocations Venkatapathy, Sriram; Joshi, Aravind K In: Departmental Papers (CIS) (2005) BASE Show details 10 Flexible composition in LTAG : quantifier scope and inverse linking Kallmeyer, Laura; Joshi, Aravind K.; Romero, Maribel In: Proceedings of the fifth International Workshop on Computational Semantics IWCS-5. - Tilburg : Tilburg Univ., Computational Linguistics and AI Group (2003), 179-194 UB Frankfurt Linguistik Show details 11 Factoring predicate argument and scope semantics : underspecified semantics with LTAG Kallmeyer, Laura; Joshi, Aravind K. In: Research on language and computation. - London : King's College 1 (2003), 3-58 UB Frankfurt Linguistik Show details 12 A constructivist dual-representation model of verb inflection Westermann, G. - : LAWRENCE ERLBAUM ASSOC PUBL, 2000 BASE Show details 13 Factoring predicate argument and scope semantics : underspecified semantics with LTAG Kallmeyer, Laura; Joshi, Aravind K.. - 1999 UB Frankfurt Linguistik Show details 14 Language Processing Research and Technology - New Directions Joshi, Aravind K. In: DTIC AND NTIS (1998) Abstract: A new statistical parser has been developed which works on unconstrained newspaper text with an 89% success rate. It trains in minutes and its success is the highest in the field so far. A new robust parsing technology called "supertagging" was developed based on lexicalized tree-adjoining grammars (LTAG). This parser gives a very fine grain analysis and achieves a 93% success rate for assigning correct supertags to each word. This "almost parsing" becomes actual full parsing in many application domains. New technologies for automated entity based summarization of newspaper articles based on the conference technology developed earlier. Keyword: *PARSERS; *TEXT PROCESSING; COMPUTATIONAL LINGUISTICS; Computer Programming and Software; DATA MANAGEMENT; Linguistics; LTAG(LEXICALIZED TREE ADJOINING GRAMMARS); NEWSPAPERS; SYNTAX; WORD RECOGNITION; WORDS(LANGUAGE) URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA358329 http://www.dtic.mil/docs/citations/ADA358329 BASE Hide details 15 Anchoring a Lexicalized Tree-Adjoining Grammar for Discourse ... Webber, Bonnie Lynn; Joshi, Aravind K.. - : arXiv, 1998 BASE Show details 16 Centering: A Framework for Modelling the Local Coherence of Discourse Grosz, Barbara J.; Joshi, Aravind K.; Weinstein, Scott In: DTIC AND NTIS (1995) BASE Show details 17 Disambiguation of Super Parts of Speech (or Supertags): Almost Parsing Joshi, Aravind K.; Srinivas, B. In: IRCS Technical Reports Series (1995) BASE Show details 18 Some Novel Applications of Explanation-Based Learning to Parsing Lexicalized Tree-Adjoining Grammars Srinivas, B.; Joshi, Aravind K In: IRCS Technical Reports Series (1995) BASE Show details 19 A Processing Model for Free Word Order Languages Rambow, Owen; Joshi, Aravind K In: IRCS Technical Reports Series (1995) BASE Show details 20 Korean to English Translation Using Synchronous TAGs ... Egedi, Dania; Palmer, Martha; Park, Hyun S.. - : arXiv, 1994 BASE Show details Page: 1 2

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