A Reflective View on Text Similarity

While the concept of similarity is well grounded in psychology, text similarity is less well-defined. Thus, we analyze text similarity with respect to its definition and the datasets used for evaluation. We formalize text similarity based on the geometric model of conceptual spaces along three dimensions inherent to texts: structure, style, and content. We empirically ground these dimensions in a set of annotation studies, and categorize applications according to these dimensions. Furthermore, we analyze the characteristics of the existing evaluation datasets, and use those datasets to assess the performance of common text similarity measures.

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Conference:
International Conference Recent Advances in Natural Language Processing 2011, Hissar, Bulgaria 12-14 September, 2011
Date Issued:
2011
URN:
urn:nbn:de:hbz:464-20211028-162008-6
DOI:
10.17185/duepublico/72190
Language:
English
Type of Resource:
Text
Subject categories of the Deutsche Nationalbibliografie:
004 Data processing Computer sciences
URL:
https://aclanthology.org/R11-1071
Hosting institution:
Faculty of Engineering, Computer Science and Applied Cognitive Science, Computer Science, Language Technology Lab
accrual policy:
Bär, D., Zesch, T., Gurevych, I. (2011)  A Reflective View on Text Similarity. In: Proceedings of the International Conference Recent Advances in Natural Language Processing 2011, pp. 515–520. Association for Computational Linguistics. https://aclanthology.org/R11-1071

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