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Computing Semantic Textual Similarity based on Partial Textual Entailment

In Doctoral Consortium - DC3K, 3-12, 2015, Lisbon, Portugal

Author: Martin Víta

Affiliation: Faculty of Informatics, Czech Republic

Keyword(s): Textual Entailment, Faceted Entailment, Partial Textual Entailment, Semantic Textual Similarity.

Abstract: With a rapidly growing amount of textual data, the task of discovering semantically similar documents is becoming more and more important. This general task is being solved in a wide range of practical applications ranging from recommender systems to plagiarism detection or duplication removal tools. The proposed doctoral project is focused on the application of a generalized concept of textual entailment to measure the semantic textual similarity. The notion of cross-lingual partial textual entailment will be introduced in order to deal with semantic textual similarity among multilingual documents.

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Paper citation in several formats:
Víta, M. (2015). Computing Semantic Textual Similarity based on Partial Textual Entailment.In Doctoral Consortium - DC3K, (IC3K 2015) ISBN , pages 3-12. DOI: 10.5220/0005647600030012

@conference{dc3k15,
author={Martin Víta.},
title={Computing Semantic Textual Similarity based on Partial Textual Entailment},
booktitle={Doctoral Consortium - DC3K, (IC3K 2015)},
year={2015},
pages={3-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005647600030012},
isbn={},
}

TY - CONF

JO - Doctoral Consortium - DC3K, (IC3K 2015)
TI - Computing Semantic Textual Similarity based on Partial Textual Entailment
SN -
AU - Víta, M.
PY - 2015
SP - 3
EP - 12
DO - 10.5220/0005647600030012

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