مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

1,692
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

AUTOMATIC LABELING OF SEMANTIC ROLES IN PERSIAN SENTENCES USING DEPENDENCY TREES

Author(s)

REZAEI SHARIFABADI MORTEZA | KHOSRAVIZADEH FOROUSHANI PARVANEH | Issue Writer Certificate 

Pages

  27-38

Abstract

 The automatic detection of words that have semantic roles in sentences, and determining the type of their semantic roles (i.e. agent, patient, source, ...) may improve the quality of systems based on NATURAL LANGUAGE PROCESSING tasks such as information extraction, question answering, summarization, and machine translation. In this task, which is called SEMANTIC ROLE LABELING or SHALLOW SEMANTIC PARSING, syntactic parsers are usually employed for extracting syntactic features and the type of syntactic representations that the parsers use affect the overall precision of the semantic role labeler. In this research we present a machine-learning-based semantic role labeler for Persian sentences in which syntactic features are extracted by a dependency parser. In many aspects, the presented system performs better than previous semantic role labelers for Persian, which all used shallow syntactic parsing.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    REZAEI SHARIFABADI, MORTEZA, & KHOSRAVIZADEH FOROUSHANI, PARVANEH. (2016). AUTOMATIC LABELING OF SEMANTIC ROLES IN PERSIAN SENTENCES USING DEPENDENCY TREES. SIGNAL AND DATA PROCESSING, -(1 (SERIAL 27)), 27-38. SID. https://sid.ir/paper/160721/en

    Vancouver: Copy

    REZAEI SHARIFABADI MORTEZA, KHOSRAVIZADEH FOROUSHANI PARVANEH. AUTOMATIC LABELING OF SEMANTIC ROLES IN PERSIAN SENTENCES USING DEPENDENCY TREES. SIGNAL AND DATA PROCESSING[Internet]. 2016;-(1 (SERIAL 27)):27-38. Available from: https://sid.ir/paper/160721/en

    IEEE: Copy

    MORTEZA REZAEI SHARIFABADI, and PARVANEH KHOSRAVIZADEH FOROUSHANI, “AUTOMATIC LABELING OF SEMANTIC ROLES IN PERSIAN SENTENCES USING DEPENDENCY TREES,” SIGNAL AND DATA PROCESSING, vol. -, no. 1 (SERIAL 27), pp. 27–38, 2016, [Online]. Available: https://sid.ir/paper/160721/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button