Prague, Czech Republic Automatic Prediction of Cognate Orthography Using Support Vector Machines Exploiting Structure for Event Discovery Using the Mdi Algorithm Semantic Classification of Noun Phrases Using Web Counts and Learning Algorithms Conference Program an Implementation of Combined Partial

@inproceedings{Biemann2007PragueCR,
  title={Prague, Czech Republic Automatic Prediction of Cognate Orthography Using Support Vector Machines Exploiting Structure for Event Discovery Using the Mdi Algorithm Semantic Classification of Noun Phrases Using Web Counts and Learning Algorithms Conference Program an Implementation of Combined Partial },
  author={Cecilia Biemann and Violeta Seretan and Ellen Riloff and Laura Alonso and Alemany and Timothy Baldwin and Stephan Bloehdorn and Gemma Boleda and Pompeu Rahola Fabra and Katharine M Spain and Bontcheva and Alexander Clark and Royal Holloway and Stefan Evert and Alexander F. Gelbukh and Yoav Goldberg and Ben-Gurion and Jean-Philippe Goldman and Catalina Hallett and Laura Hasler and Janne Bondi Johannessen and Andrea Mulloni and Roberto Navigli and Malvina Nissim and Constantin Orasan and Adam Przepi{\'o}rkowski and Reinhard Rapp and Universitat Rovira I Virgili and Tarragona and Bettina Spain and Schrader and Serge Sharoff and Yihai Shen and Hong Kong and Anders S{\o}gaard and Joel R. Tetreault and Stephen Wan and Janyce Wiebe and Hans Friedrich Witschel and Nathan C. Sanders and Elias Ponvert and Martina Naughton and Bart Cramer and Yves Scherrer and Kata G{\'a}bor and Enik O H{\'e}ja},
  year={2007}
}
Workshop is an established tradition at the Annual Meetings of the Association for Computational Linguistics and builds on the success of no less than 16 previous student sessions at ACL meetings. Students in Computational Linguistics, Natural Language Processing and related fields were offered the possibility to present their work in a setting embedded in the main conference. The workshop plays an integral role in ACL's efforts to build and maintain a research community by investing in young… CONTINUE READING

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