Difference between revisions of "Paraphrase Identification (State of the art)"
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| 70.3% | | 70.3% | ||
| 81.3% | | 81.3% | ||
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| + | | WDDP | ||
| + | | Wan et al. (2006) | ||
| + | | supervised dependency-based features | ||
| + | | 75.0% | ||
| + | | 73,0% | ||
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Exploiting massively parallel news sources], ''Proceedings of the 20th international conference on Computational Linguistics (COLING 2004)'', Geneva, Switzerland, pp. 350-356. | 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. | + | Mihalcea, R., Corley, C., and Strapparava, C. (2006). [http://reference.kfupm.edu.sa/content/c/o/corpus_based_and_knowledge_based_measure_3759629.pdf 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. |
| + | |||
| + | Wan, S., Dras, M., Dale, R., and Paris, C. (2006). [http://www.alta.asn.au/events/altw2006/proceedings/swan-final.pdf Using dependency-based features to take the "para-farce" out of paraphrase], ''Proceedings of the Australasian Language Technology Workshop (ALTW 2006)'', pp. 131-138. | ||
Revision as of 13:00, 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 | Description | Accuracy | F |
|---|---|---|---|---|
| MCS | Mihalcea et al. (2006) | unsupervised combination of several word similarity measures | 70.3% | 81.3% |
| WDDP | Wan et al. (2006) | supervised dependency-based features | 75.0% | 73,0% |
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.
Wan, S., Dras, M., Dale, R., and Paris, C. (2006). Using dependency-based features to take the "para-farce" out of paraphrase, Proceedings of the Australasian Language Technology Workshop (ALTW 2006), pp. 131-138.