Corpora: CoNLL-2001 proceedings available online

From: E Tjong Kim Sang (erikt@stp.ling.uu.se)
Date: Mon Jul 30 2001 - 17:16:23 MET DST

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    Dear corpora list member,

    The proceedings of the Fifth Workshop on Computational Natural Language
    Learning (CoNLL-2001) which was held in Toulouse, France earlier this
    month, are available online now at:

       http://lcg-www.uia.ac.be/conll2001/proceedings.html

    The website contains postscript and pdf versions of the papers with
    separate abstracts and bibtex entries. It also contains online versions
    of earlier CoNLL workshops (1997-2000). Here is a list of titles of
    papers that have appeared in the 2001 proceedings:

    * Learning Computational Grammars (invited paper)
    * Learning class-to-class selectional preferences
    * Inducing Probabilistic Invertible Translation Grammars from Aligned Texts
    * Unsupervised Induction of Stochastic Context-Free Grammars using
      Distributional Clustering
    * A Mixture-of-Experts Framework for Text Classification
    * Multidimensional Transformation-Based Learning
    * Probabilistic Models for PP-attachment Resolution and NP Analysis
    * Combining a self-organizing map with memory-based learning
    * Coreference Resolution with Syntactico-Semantic Rules and Corpus Statistics
    * On Minimizing Training Corpus for Parser Acquisition
    * Distributional Phrase Structure Induction
    * Exploring Evidence for Shallow Parsing
    * Automatic Distinction of Arguments and Modifiers: the Case of Prepositional
      Phrases
    * Combining Linguistic and Machine Learning Techniques for Email Summarization
    * Learning to identify animate references
    * Semantic Pattern Learning Through Maximum Entropy-based WSD technique
    * Automatic Verb Classification Using Multilingual Resources
    * A Psychologically Plausible and Computationally Effective Approach to
      Learning Syntax
    * Morpholog: Constrained and Supervised Learning of Morphology
    * Introduction to the CoNLL-2001 Shared Task: Clause Identification
    * Boosting Trees for Clause Splitting
    * Using ALLiS for Clausing
    * Clause identification with Long Short-Term Memory
    * Clause Detection using HMM
    * Boosted Decision Graphs for NLP Learning Tasks
    * Memory-Based Clause Identification

    Erik TKS
    --------
    e-mail: erikt@stp.ling.uu.se WWW: http://stp.ling.uu.se/~erikt/



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