Stone-Dual Semantics for Natural Language Introduction Mainstream possible-worlds semantics (PWS) follows Montagueand Kripkein treating the set W of worlds as unstructured and the set P of propositions (m

Source URL: semantique.free.fr

Inferential Role Semantics for Natural Language Peter Blouw () Chris Eliasmith () Centre for Theoretical Neuroscience, University of Waterloo Waterloo, ON, Canada N2L 3G1 Abstrac

Source URL: mindmodeling.org

Semantics in generative grammar. By Irene Heim & Angelika Kratzer. Malden & Oxford: Blackwell, 1998. Pp. ix, 324. Introduction to natural language semantics. By Henriëtte de Swart. Stanford: CSLI Publications, 1998. Pp.

Source URL: ncs.ruhosting.nl

Natural Language Semantics manuscript No. (will be inserted by the editor) Non-monotonicity in NPI licensing Luka Crniˇ c

Source URL: lukacrnic.com

The child in semantics* Valentine Hacquard University of Maryland Abstract This paper discusses the challenges that children face in acquiring natural language meaning, and the kinds of linguistic and nonlinguistic capac

Source URL: ling.umd.edu

Natural Language Semantics:383–410 DOIs11050
SpringerBART GEURTS

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Using Frame Semantics in Natural Language Processing Apoorv Agarwal Dept. of Computer Science Columbia University New York, NY

Source URL: anthology.aclweb.org

Semi-Supervised and Latent-Variable Models of Natural Language Semantics Dipanjan Das CMU-LTI

Source URL: www.dipanjandas.com

Automatic adaptation of Proper Noun Dictionaries through cooperation of machine learning and probabilistic methods Georgios Petasis, Alessandro Cucchiarelli(*),Paola Velardi(§), Georgios Paliouras, Vangelis Karkaletsis,

Source URL: wwwusers.di.uniroma1.it

• Linguistics
• Computational linguistics
• Machine learning
• Artificial intelligence
• Cognition
• Natural language processing
• Semantics
• Statistical classification
• Word-sense disambiguation
• Parsing
• Supervised learning
• Probabilistic classification

Structured Generative Models for Unsupervised Named-Entity Clustering Micha Elsner, Eugene Charniak and Mark Johnson Brown Laboratory for Linguistic Information Processing (BLLIP) Brown University Providence, RI 02912 {m

Source URL: bllip.cs.brown.edu

• Linguistics
• Computational linguistics
• Language
• Cognitive science
• Semantics
• Natural language processing
• Pronouns
• Machine learning
• Information extraction
• Named-entity recognition
• Entityrelationship model
• Message Understanding Conference