Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements

Cramer I, Wandmacher T, Waltinger U (2012)
In: Modeling, Learning and Processing of Text Technological Data Structures. Mehler A, Henning Lobin and Harald Lüngen and K-UK, Storrer A, Witt A (Eds); Studies in Computational Intelligence, 370. Berlin/New York: Springer: 377-396.

Book Chapter | Published | English

No fulltext has been uploaded

Author
; ;
Book Editor
Mehler, Alexander ; Henning Lobin and Harald Lüngen and, Kai-Uwe Kühnberger ; Storrer, Angelika ; Witt, Andreas
Abstract
In the past decade various semantic relatedness, similarity, and distance measures have been proposed which play a crucial role in many NLP-applications. Researchers compete for better algorithms (and resources to base the algorithms on), and often only few percentage points seem to suffice in order to prove a new measure (or resource) more accurate than an older one. However, it is still unclear which of them performs best under what conditions. In this work we therefore present a study comparing various relatedness measures. We evaluate them on the basis of a human judgment experiment and also examine several practical issues, such as run time and coverage. We show that the performance of all measures - as compared to human estimates - is still mediocre and argue that the definition of a shared task might bring us considerably closer to results of high quality.
Publishing Year
PUB-ID

Cite this

Cramer I, Wandmacher T, Waltinger U. Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements. In: Mehler A, Henning Lobin and Harald Lüngen and K-UK, Storrer A, Witt A, eds. Modeling, Learning and Processing of Text Technological Data Structures. Studies in Computational Intelligence. Vol 370. Berlin/New York: Springer; 2012: 377-396.
Cramer, I., Wandmacher, T., & Waltinger, U. (2012). Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements. In A. Mehler, K. - U. K. Henning Lobin and Harald Lüngen and, A. Storrer, & A. Witt (Eds.), Studies in Computational Intelligence: Vol. 370. Modeling, Learning and Processing of Text Technological Data Structures (pp. 377-396). Berlin/New York: Springer.
Cramer, I., Wandmacher, T., and Waltinger, U. (2012). “Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements” in Modeling, Learning and Processing of Text Technological Data Structures, ed. A. Mehler, K. - U. K. Henning Lobin and Harald Lüngen and, A. Storrer, and A. Witt Studies in Computational Intelligence, vol. 370, (Berlin/New York: Springer), 377-396.
Cramer, I., Wandmacher, T., & Waltinger, U., 2012. Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements. In A. Mehler, et al., eds. Modeling, Learning and Processing of Text Technological Data Structures. Studies in Computational Intelligence. no.370 Berlin/New York: Springer, pp. 377-396.
I. Cramer, T. Wandmacher, and U. Waltinger, “Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements”, Modeling, Learning and Processing of Text Technological Data Structures, A. Mehler, et al., eds., Studies in Computational Intelligence, vol. 370, Berlin/New York: Springer, 2012, pp.377-396.
Cramer, I., Wandmacher, T., Waltinger, U.: Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements. In: Mehler, A., Henning Lobin and Harald Lüngen and, K.-U.K., Storrer, A., and Witt, A. (eds.) Modeling, Learning and Processing of Text Technological Data Structures. Studies in Computational Intelligence. 370, p. 377-396. Springer, Berlin/New York (2012).
Cramer, Irene, Wandmacher, Tonio, and Waltinger, Ulli. “Exploring Resources for Lexical Chaining: A Comparison of Automated Semantic Relatedness Measures and Human Judgements”. Modeling, Learning and Processing of Text Technological Data Structures. Ed. Alexander Mehler, Kai-Uwe Kühnberger Henning Lobin and Harald Lüngen and, Angelika Storrer, and Andreas Witt. Berlin/New York: Springer, 2012.Vol. 370. Studies in Computational Intelligence. 377-396.
This data publication is cited in the following publications:
This publication cites the following data publications:

Export

0 Marked Publications

Open Data PUB

Search this title in

Google Scholar
ISBN Search