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  1.  8
    Elements of Discourse Understanding.Aravind K. Joshi, Bonnie L. Webber & Ivan A. Sag (eds.) - 1981 - Cambridge, UK: Cambridge University Press.
    The questions of how human beings produce and comprehend language continue to engage a variety of researchers and scholars, and it is becoming increasingly clear that only interdisciplinary approaches will yield productive answers. This complex issue of discourse processing is the subject of this volume, and the contributors address it from the varying perspectives of cognitive psychology linguistics, and computer science. The chapters provide a fascinating overview of emerging theories in the new discipline of cognitive science. A useful introductory chapter (...)
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  2.  24
    Starting with Complex Primitives Pays Off: Complicate Locally, Simplify Globally.Aravind K. Joshi - 2004 - Cognitive Science 28 (5):637-668.
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  3. Partial Proof Trees as Building Blocks for a Categorial Grammar.Aravind K. Joshi & Seth Kulick - 1997 - Linguistics and Philosophy 20 (6):637-667.
    We describe a categorial system (PPTS) based on partial proof trees(PPTs) as the building blocks of the system. The PPTs are obtained byunfolding the arguments of the type that would be associated with a lexicalitem in a simple categorial grammar. The PPTs are the basic types in thesystem and a derivation proceeds by combining PPTs together. We describe theconstruction of the finite set of basic PPTs and the operations forcombining them. PPTS can be viewed as a categorial system incorporating someof (...)
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  4.  8
    A Possible Mathematical Specification of “Degree-0” or “Degree-0 Plus a Little” Learnability.Aravind K. Joshi - 1989 - Behavioral and Brain Sciences 12 (2):345-347.
  5.  44
    LTAG-Spinal and the Treebank.Lucas Champollion & Aravind K. Joshi - unknown
    We introduce LTAG-spinal, a novel variant of traditional Lexicalized Tree Adjoining Grammar (LTAG) with desirable linguistic, computational and statistical properties. Unlike in traditional LTAG, subcategorization frames and the argument-adjunct distinction are left underspecified in LTAG-spinal. LTAG-spinal with adjunction constraints is weakly equivalent to LTAG. The LTAG-spinal formalism is used to extract an LTAG-spinal Treebank from the Penn Treebank with Propbank annotation. Based on Propbank annotation, predicate coordination and LTAG adjunction structures are successfully extracted. The LTAG-spinal Treebank makes explicit semantic relations (...)
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  6. Role of Constrained Computational Systems in Natural Language Processing.Aravind K. Joshi - 1998 - Artificial Intelligence 103 (1-2):117-132.
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  7. Semantic Composition for Partial Proof Trees.Aravind K. Joshi, Seth Kulick & Natasha Kurtonina - 1997 - Linguistics and Philosophy 20 (6):637-667.
    We describe a categorial system based on partial proof trees as the building blocks of the system. The PPTs are obtained byunfolding the arguments of the type that would be associated with a lexicalitem in a simple categorial grammar. The PPTs are the basic types in thesystem and a derivation proceeds by combining PPTs together. We describe theconstruction of the finite set of basic PPTs and the operations forcombining them. PPTS can be viewed as a categorial system incorporating someof the (...)
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  8. Varieties of Cooperative Responses in Question-Answer Systems.Aravind K. Joshi - 1983 - In Ferenc Kiefer (ed.), Questions and Answers. Reidel. pp. 229--240.
     
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