OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Automatic Sentence Ordering Assessment Based on Similarity

Ermakova, Liana Automatic Sentence Ordering Assessment Based on Similarity. (2016) In: 7th International Workshop on Evaluating Information Access (EVIA 2016), a Satellite Workshop of the NTCIR-12 Conference, 7 June 2016 (Tokyo, Japan).

[img] (Document in English)

PDF (Author's version) - Depositor and staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
190kB

Abstract

One of the tasks of text generation is sentence ordering since it is crucial for readability. Nevertheless, there is no common approach for evaluation of sentence ordering. The state-of-the art methods are based on the comparison with a human-provided order. However, in many cases it is impossible or time and resource consuming. Therefore, we propose three completely automatic approaches for sentence order assessment where the similarity between adjacent sentences is used as a measure of text coherence. We showed that the methods based on word and noun similarities have very high agreement with the human-provided judgment. We also propose an automatic evaluation framework for analysis of the metrics of sentence order that requires only a text collection.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Statistics:download
Deposited By: IRIT IRIT
Deposited On:09 Mar 2017 10:40

Repository Staff Only: item control page