Difference between revisions of "Paraphrase Identification (State of the art)"
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* [http://research.microsoft.com/en-us/downloads/607D14D9-20CD-47E3-85BC-A2F65CD28042/default.aspx Microsoft Research Paraphrase Corpus] (MSRP) | * [http://research.microsoft.com/en-us/downloads/607D14D9-20CD-47E3-85BC-A2F65CD28042/default.aspx Microsoft Research Paraphrase Corpus] (MSRP) | ||
* see Dolan, Quirk, and Brockett (2004) | * see Dolan, Quirk, and Brockett (2004) | ||
| − | * train: | + | * train: 4,076 sentence pairs (2,753 positive: 67.5%) |
| − | * test: | + | * test: 1,725 sentence pairs (1,147 positive: 66.5%) |
| Line 24: | Line 24: | ||
| MCS | | MCS | ||
| Mihalcea et al. (2006) | | Mihalcea et al. (2006) | ||
| − | | combination of several word similarity measures | + | | unsupervised combination of several word similarity measures |
| 70.3% | | 70.3% | ||
| 81.3% | | 81.3% | ||
Revision as of 13:48, 24 March 2009
- Microsoft Research Paraphrase Corpus (MSRP)
- see Dolan, Quirk, and Brockett (2004)
- train: 4,076 sentence pairs (2,753 positive: 67.5%)
- test: 1,725 sentence pairs (1,147 positive: 66.5%)
Sample data
- Sentence 1: Amrozi accused his brother, whom he called "the witness", of deliberately distorting his evidence.
- Sentence 2: Referring to him as only "the witness", Amrozi accused his brother of deliberately distorting his evidence.
- Class: 1 (true paraphrase)
Table of results
| Algorithm | Reference | Type | Accuracy | F |
|---|---|---|---|---|
| MCS | Mihalcea et al. (2006) | unsupervised combination of several word similarity measures | 70.3% | 81.3% |
References
Dolan, B., Quirk, C., and Brockett, C. (2004). [http://acl.ldc.upenn.edu/C/C04/C04-1051.pdf Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources], Proceedings of the 20th international conference on Computational Linguistics (COLING 2004), Geneva, Switzerland, pp. 350-356.
Mihalcea, R., Corley, C., and Strapparava, C. (2006). Corpus-based and knowledge-based measures of text semantic similarity, Proceedings of the National Conference on Artificial Intelligence (AAAI 2006), Boston, Massachusetts, pp. 775-780.