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Hilbert’s epsilon as an operator of indefinite committed choice
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In: http://www.ags.uni-sb.de/~cp/p/epsi/pdf.pdf (2006)
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Symbolic models of human sentence processing
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In: http://www.ling.uni-potsdam.de/~vasishth/Papers/vasishthlewisElsevier.pdf (2005)
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Automated Video Segmentation for Lecture Videos: A . . .
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In: http://www.business.hku.hk/~mchau/papers/AutomatedVideoSegmentation.pdf (2005)
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Finite State Morphology: The Turkish Nominal Paradigm
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In: http://www.sfs.uni-tuebingen.de/iscl/Theses/makedonski.pdf (2005)
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Deriving marketing intelligence from online discussion
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In: http://www.kamalnigam.com/papers/aw-kdd05.pdf (2005)
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Linguistics from a Computational Perspective─ Review of Computational Linguistics and Beyond
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In: http://www.ee.cuhk.edu.hk/~lel/publications/papers/2005/2005_Gong_Language_%26_Linguistics.pdf (2005)
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Describing lambda terms in Context Unification
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In: http://hal.inria.fr/docs/00/53/65/24/PDF/clls-cu.pdf (2005)
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Authors
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In: http://repository.cmu.edu/cgi/viewcontent.cgi?article%3D1707%26context%3Dpsychology (2004)
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B.: Tackling the internet glossary glut: Automatic extraction and evaluation of genus phrases
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In: http://www.cs.columbia.edu/nlp/papers/2003/klavans_al_03.pdf (2003)
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Verbal Constraint Management for Shape Conceptualization
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In: http://dutoce.io.tudelft.nl/~jouke/docdb/docs/tmce2002verlinden.pdf (2002)
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51 |
Statistical Models for the Induction and Use of Selectional Preferences
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In: http://www.mitre.org/work/tech_papers/tech_papers_02/greiff_statistical/greiff_statistical.pdf (2002)
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Abstract:
Selectional preferences have a long history in both generative and computational linguistics. However, 11 since the publication of Resnik’s dissertation in 1993, a new approach has surfaced in the computational 12 linguistics community. This new line of research combines knowledge represented in a pre-defined 13 semantic class hierarchy with statistical tools including information theory, statistical modeling, and 14 Bayesian inference. These tools are used to learn selectional preferences from examples in a corpus. 15 Instead of simple sets of semantic classes, selectional preferences are viewed as probability distributions 16 over various entities. We survey research that extends Resnik’s initial work, discuss the strengths and 17 weaknesses of each approach, and show how they together form a cohesive line of research.
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Keyword:
Computational linguistics; Learning; Selectional preferences; Statistical modeling
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URL: http://www.mitre.org/work/tech_papers/tech_papers_02/greiff_statistical/greiff_statistical.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.1188
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Inferring Knowledge from a large semantic network. http://arxiv.org/ftp/cs/papers/0501/0501072.pdf Accessed 27
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In: https://hal.archives-ouvertes.fr/hal-00004061/document/ (2002)
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Statistical Models for the Induction and Use of Selectional Preferences
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In: http://que.info-science.uiowa.edu/~light/research/mypapers/lightCogSciFFF.pdf (2002)
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Protein names and how to find them
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In: http://www.sics.se/~franzen/Artiklar/Ijmi/ijmi02franzen01.pdf (2002)
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Finding Syntactic Structure in Unparsed Corpora : The Gsearch corpus query system, Computer and Humanities
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In: http://www.coli.uni-saarland.de/%7Ecrocker/pubs/chum00.pdf (2001)
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The Gsearch Corpus: Finding Syntactic Structure in Unparsed Corpora
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In: http://www.hcrc.ed.ac.uk/gsearch/papers/chum_paper.pdf (2001)
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Three Perspectives on MT in the Classroom
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In: http://www.eamt.org/summitVIII/./papers/somers-2.pdf (2001)
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Three Perspectives on MT in the Classroom
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In: http://www.dlsi.ua.es/tmt/docum/TMT4.pdf (2001)
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Answer Extraction using a Dependency Grammar in ExtrAns
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In: http://www.ics.mq.edu.au/~diego/publications/DGZurich.pdf (2000)
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C.: Current trends in grammatical inference
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In: http://pagesperso.lina.univ-nantes.fr/%7Ecdlh/papers/colinsspr00.pdf (2000)
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