Sciweavers

    226 search results - page 8 / 46
    » A parsing machine for PEGs
    Sort
    View
    93
    Voted
    ACL
    2011
    207views Computational Linguistics» more  ACL 2011»
    Joint Training of Dependency Parsing Filters through Latent Support Vector Machines
    14 years 1 months ago
    Joint Training of Dependency Parsing Filters through Latent Support Vector Machines
    Download  www.clsp.jhu.edu
    Graph-based dependency parsing can be sped up significantly if implausible arcs are eliminated from the search-space before parsing begins. State-of-the-art methods for arc filt...
    Colin Cherry, Shane Bergsma
    claim paper
    Read More »
    INTERSPEECH
    2010
    140views Signal Processing» more  INTERSPEECH 2010»
    Using dependency parsing and machine learning for factoid question answering on spoken documents
    14 years 4 months ago
    Using dependency parsing and machine learning for factoid question answering on spoken documents
    Download  www.lsi.upc.edu
    This paper presents our experiments in question answering for speech corpora. These experiments focus on improving the answer extraction step of the QA process. We present two app...
    Pere Comas, Jordi Turmo, Lluís Màrqu...
    claim paper
    Read More »
    EACL
    2009
    ACL Anthology
    136views Natural Language Processing» more  EACL 2009»
    Lattice Parsing to Integrate Speech Recognition and Rule-Based Machine Translation
    15 years 10 months ago
    Lattice Parsing to Integrate Speech Recognition and Rule-Based Machine Translation
    Download  www.aclweb.org
    Adnan Yazici, Selçuk Köprü
    claim paper
    Read More »
    ACL
    2006
    112views Computational Linguistics» more  ACL 2006»
    Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches
    14 years 11 months ago
    Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches
    Download  www-tsujii.is.s.u-tokyo.ac.jp
    Sentence compression is a task of creating a short grammatical sentence by removing extraneous words or phrases from an original sentence while preserving its meaning. Existing me...
    Yuya Unno, Takashi Ninomiya, Yusuke Miyao, Jun-ich...
    claim paper
    Read More »
    NAACL
    2007
    142views Computational Linguistics» more  NAACL 2007»
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    14 years 11 months ago
    Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
    Download  www.cs.utexas.edu
    We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
    Rohit J. Kate, Raymond J. Mooney
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2025, USA.