Software Release: ADW - Semantic Similarity of Arbitrary Lexical Items

[Taher Pilehvar]

* Apologies for cross posting*

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Align, Disambiguate, and Walk (ADW)
Semantic similarity of arbitrary pairs of lexical items, from word senses
to texts!
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The Linguistic Computing Laboratory of the Sapienza University of Rome is
pleased to announce the first release of ADW.

ADW is a software for measuring semantic similarity of arbitrary pairs of
lexical items, from word senses to texts. The software is based on "Align,
Disambiguate, and Walk" [1], a WordNet-based state-of-the-art semantic
similarity approach presented in ACL 2013.

Features in ADW:

- State-of-the-art performance at multiple lexical levels [1] (word
similarity on data-sets such as RG-65 and TOEFL, sentence similarity - the
STS task, and WordNet sense clustering).
- Cross-level semantic similarity, i.e., between different types of lexical
items (e.g., a word sense and a phrase).
- Available via easy-to-use Java APIs.
- Off-the-shelf: no need for any training or tuning of parameters.
- Suitable for upcoming SemEval-2015 Tasks 1, 2, and 3

To obtain the software, please visit ADW's github repository at:

https://github.com/pilehvar/ADW


You can also try ADW's online demo at:

http://lcl.uniroma1.it/adw/


Reference

[1] M. T. Pilehvar, D. Jurgens and R. Navigli. Align, Disambiguate and
Walk: A Unified Approach for Measuring Semantic Similarity. Proc. of the
51st Annual Meeting of the Association for Computational Linguistics (ACL
2013), Sofia, Bulgaria, August 4-9, 2013, pp. 1341-1351.