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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 3 4 5 6 Hits 1 – 20 of 110 1 The main sessionProceedings of the forty-seventh (47.) annual meeting of the Chicago Linguistic Society 1. Chen-Main, Joan; Joshi, Aravind K. In: The main session (2014), S. 31-46 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 2 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 3 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 4 Formal grammars in linguistics and psycholinguistics, vol. 1: An introduction to the theory of formal languages and automata. By Willem J. M. Levelt. Amsterdam: John Benjamins, 2008. Pp. XI, 139 [Rezension] Joshi, Aravind K. In: Language. - Washington, DC : Linguistic Society of America 87 (2011) 2, 414-416 BLLDB OLC Linguistik Show details 5 Discourse Indicators for Content Selection in Summaization Louis, Annie; Joshi, Aravind K; Nenkova, Ani In: Departmental Papers (CIS) (2010) BASE Show details 6 Using Entity Features to Classify Implicit Discourse Relations Joshi, Aravind K; Prasad, Rashmi; Louis, Annie... In: Departmental Papers (CIS) (2010) BASE Show details 7 Tree-adjoining grammars Joshi, Aravind K. In: The Oxford handbook of computational linguistics (New York, 2009), p. 483-500 MPI für Psycholinguistik Show details 8 LTAG-spinal and the treebank : a new resource for incremental, depedency and semantic parsing Shen, Libin; Champollion, Lucas; Joshi, Aravind K. In: Language resources and evaluation. - Dordrecht [u.a.] : Springer 42 (2008) 1, 1-19 BLLDB Show details 9 Sense Annotation in the Penn Discourse Treebank Miltsakaki, Eleni; Robaldo, Livio; Lee, Alan... In: Departmental Papers (CIS) (2008) BASE Show details 10 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 11 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 12 Computing discourse semantics : the predicate-argument semantics of discourse connectives in D-LTAG Forbes-Riley, Katherine; Webber, Bonnie; Joshi, Aravind K. In: Journal of semantics. - Oxford : Univ. Press 23 (2006) 1, 55-106 BLLDB OLC Linguistik Show details 13 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 14 A short introduction to the Penn Discourse TreeBank Webber, Bonnie; Joshi, Aravind K.; Miltsakaki, Eleni... In: Treebanking for discourse and speech. - Frederiksberg : Samfundslitteratur (2006), 9-28 BLLDB Show details 15 Relative compositionality of multi-word expressions: a study of verb-noun (V-N) collocations Venkatapathy, Sriram; Joshi, Aravind K In: Departmental Papers (CIS) (2005) Abstract: Recognition of Multi-word Expressions (MWEs) and their relative compositionality are crucial to Natural Language Processing. Various statistical techniques have been proposed to recognize MWEs. In this paper, we integrate all the existing statistical features and investigate a range of classifiers for their suitability for recognizing the non-compositional Verb-Noun (V-N) collocations. In the task of ranking the V-N collocations based on their relative compositionality, we show that the correlation between the ranks computed by the classifier and human ranking is significantly better than the correlation between ranking of individual features and human ranking. We also show that the properties ‘Distributed frequency of object’ (as defined in [27] ) and ‘Nearest Mutual Information’ (as adapted from [18]) contribute greatly to the recognition of the non-compositional MWEs of the V-N type and to the ranking of the V-N collocations based on their relative compositionality. URL: https://repository.upenn.edu/cis_papers/232 https://repository.upenn.edu/cgi/viewcontent.cgi?article=1245&context=cis_papers BASE Hide details 16 Starting with complex primitives pays off: complicate locally, simplify globally Joshi, Aravind K. In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 28 (2004) 5, 637-668 OLC Linguistik Show details 17 Semilinearity Is a Syntactic Invariant: A Reply to Michaelis and Kracht 1997 Bhatt, Rajesh; Joshi, Aravind K. In: Linguistic inquiry. - Cambridge, Mass. : MIT Pr. 35 (2004) 4, 683-691 OLC Linguistik Show details 18 Semilinearity is a syntactic invariant : a reply to Michaelis and Kracht 1997 Bhatt, Rajesh; Joshi, Aravind K. In: Linguistic inquiry. - Cambridge, Mass. : MIT Pr. 35 (2004) 4, 683-692 BLLDB Show details 19 Partial proof trees, hybrid logic, and quantifier scope Joshi, Aravind K.; Kulick, Seth; Kurtonina, Natasha In: Research on language and computation. - London : King's College 2 (2004) 1, 57-68 BLLDB Show details 20 Anaphora and discourse structure Webber, Bonnie; Stone, Matthew; Joshi, Aravind K.... In: Computational linguistics. - Cambridge, Mass. : MIT Press 29 (2003) 4, 545-587 BLLDB Show details Page: 1 2 3 4 5 6

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