1. Association for Computational Linguistics

    0 Comments Leave a Comment

    436-450 of 531 « 1 2 ... 27 28 29 30 31 32 33 ... 34 35 36 »
    1. Mentioned In 531 Articles

    2. Acl/Eacl97

      THREE GENERATIVE, LEXICALISED MODELS FOR STATISTICAL PARSING MICHAEL COLLINS UNIVERSITY OF PENNSYLVANIA BACKGROUND ffl S = a sentence. ffl T = a parse tree for the sentence. ffl A statistical model estimates P(T jS). ffl The best parse under the model is then T best = argmax T P (T jS) ffl Parameters trained from an annotated corpus (e.g. the Penn Treebank) PROBABILISTIC CONTEXT FREE GRAMMARS ffl T best = arg max ...
      Read Full Article
    3. Parsing with a Single Neuron: Convolution Kernels for NaturalLanguage Problems

      Parsing with a Single Neuron: Convolution Kernels for Natural Language Problems Michael Collinsy and Nigel Du yz yAT&T Labs-Research, Florham Park, New Jersey. mcollins@research.att.com zDepartment of Computer Science, University of California at Santa Cruz. nigeduff@cs.ucsc.edu Abstract This paper introduces new train- ing criteria and algorithms for NLP problems, based on the Support Vec- tor Machine (SVM) approach to classi cation problems. SVMs can ...
      Read Full Article
    4. Markov Logic

      Pedro Domingos1 , Stanley Kok1 , Daniel Lowd1 , Hoifung Poon1, Matthew Richardson2, and Parag Singla1 Department of Computer Science and Engineering University of Washington Seattle, WA 98195-2350, U.S.A. {pedrod, koks, lowd, hoifung, parag}@cs.washington.edu 2 Microsoft Research Redmond, WA 98052 mattri@microsoft.com 1 Abstract. Most real-world machine learning problems have both statistical and relational aspects. Thus learners need representations that combine probability and re
      Read Full Article
    5. Convolution Kernels for Natural Language

      Michael Collins AT&T Labs--Research 180 Park Avenue, New Jersey, NJ 07932 mcollins@research.att.com Nigel Duffy Department of Computer Science University of California at Santa Cruz nigeduff@cse.ucsc.edu Abstract We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discrete structures which require some mechanism to convert them into ...
      Read Full Article
    6. 436-450 of 531 « 1 2 ... 27 28 29 30 31 32 33 ... 34 35 36 »
  1. Categories

    1. Default:

      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
  2. About Association for Computational Linguistics

    The Association for Computational Linguistics (ACL) is the international scientific and professional society for people working on problems involving natural language and computation. An annual meeting is held each summer in locations where significant computational linguistics research is carried out. It was founded in 1962, but it was then named Association for Machine Translation and Computational Linguistics (AMTCL). It became the ACL only in 1968.

    The ACL has a European and a North American chapter.

    The ACL journal, Computational Linguistics, continues to be the primary forum for research on computational linguistics and natural language processing. Since 1988, the journal has been published for the ACL by MIT Press.

    The ACL book series, Studies in Natural Language Processing, is published by Cambridge University Press."