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A Metric for Sentence Ordering Assessment Based on Topic-Comment Structure

Ermakova, Liana and Mothe, Josiane and Firsov, Anton A Metric for Sentence Ordering Assessment Based on Topic-Comment Structure. (2017) In: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 7 August 2017 - 11 August 2017 (Tokyo, Japan).

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Official URL: http://doi.org/10.1145/3077136.3080720

Abstract

Sentence ordering (SO) is a key component of verbal ability. It is also crucial for automatic text generation. While numerous researchers developed various methods to automatically evaluate the informativeness of the produced contents, the evaluation of readability is usually performed manually. In contrast to that, we present a self-sufficient metric for SO assessment based on text topic-comment structure. We show that this metric has high accuracy.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACM. The definitive version is available at http://dl.acm.org This papers appears in SIGIR'17 : Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval ISBN: 978-1-4503-5022-8 The original PDF is available at: https://dl.acm.org/citation.cfm?id=3077136.3080720
HAL Id:hal-01873782
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Ecole de l'Innovation Technologique - ESIEE PARIS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Institut National de la Recherche Agronomique - INRA (FRANCE)
Other partners > Perm state university (RUSSIA)
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)
Other partners > Université de Lorraine (FRANCE)
Other partners > Université Paris-Est Marne-La-Vallée - UPEM (FRANCE)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:04 Jun 2018 14:58

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