SEMANTIC ROLE BASED SENTENCE COMPRESSION

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Pourgholamali Fatemeh; KAHANI MOHSEN

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE)
Year:2014 | Issue:4

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Information Seminar Paper

Title

SEMANTIC ROLE BASED SENTENCE COMPRESSION

Author(s)

Pourgholamali Fatemeh | KAHANI MOHSEN

Keywords

SENTENCE COMPRESSION

PART OF SPEECH

SEMANTIC ROLE

MULTI-DOCUMENT SUMMARIZATION

ROUGE

Abstract

IN THIS PAPER, A NEW UNSUPERVISED SENTENCE COMPRESSION METHOD IS PROPOSED. SENTENCES ARE TAGGED WITH PART OF SPEECH TAGS AND SEMANTIC ROLE LABELS. THE PROPOSED METHOD RELIES ON THE SEMANTIC ROLES OF SENTENCES’ PARTS.MOREOVER, IN THE PROCESS OF COMPRESSION, OTHER SENTENCES IN THE CONTEXT ARE TAKEN INTO ACCOUNT. THE APPROACH IS APPLIED IN THE CONTEXT OF MULTI-DOCUMENT SUMMARIZATION. EXPERIMENTS SHOWED BETTER RESULTS THAN OTHER STATE OF THE ART APPROACHES.

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APA: Copy

Pourgholamali, Fatemeh, & KAHANI, MOHSEN. (2014). SEMANTIC ROLE BASED SENTENCE COMPRESSION. INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE). SID. https://sid.ir/paper/926172/en

Vancouver: Copy

Pourgholamali Fatemeh, KAHANI MOHSEN. SEMANTIC ROLE BASED SENTENCE COMPRESSION. 2014. Available from: https://sid.ir/paper/926172/en

IEEE: Copy

Fatemeh Pourgholamali, and MOHSEN KAHANI, “SEMANTIC ROLE BASED SENTENCE COMPRESSION,” presented at the INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE). 2014, [Online]. Available: https://sid.ir/paper/926172/en

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