TOEFL Synonym Questions (State of the art)
Jump to navigation
Jump to search
- TOEFL = Test of English as a Foreign Language
- 80 multiple-choice synonym questions; 4 choices per question
- TOEFL questions available from Thomas Landauer
- introduced in Landauer and Dumais (1997) as a way of evaluating algorithms for measuring similarity
- subsequently used by many other researchers
- Reference for algorithm = where to find out more about given algorithm for measuring similarity
- Reference for experiment = where to find out more about evaluation of given algorithm with TOEFL questions
- Algorithm = general type of algorithm: corpus-based, lexicon-based, hybrid
- Correct = percent of 80 questions that given algorithm answered correctly
- 95% confidence = confidence interval calculated using Binomial Exact Test
- table rows sorted in order of increasing percent correct
Reference for algorithm | Reference for experiment | Algorithm | Correct | 95% confidence |
---|---|---|---|---|
Resnik (1995) | Jarmasz and Szpakowicz (2003) | hybrid | 20.31% | 12.89–31.83% |
Leacock and Chodrow (1998) | Jarmasz and Szpakowicz (2003) | lexicon-based | 21.88% | 13.91–33.21% |
Lin (1998) | Jarmasz and Szpakowicz (2003) | hybrid | 24.06% | 15.99–35.94% |
Jiang and Conrath (1997) | Jarmasz and Szpakowicz (2003) | hybrid | 25.00% | 15.99–35.94% |
Landauer and Dumais (1997) | Landauer and Dumais (1997) | corpus-based | 64.38% | 52.90–74.80% |
Average non-English US college applicant | Landauer and Dumais (1997) | human | 64.50% | 53.01–74.88% |
Turney (2001) | Turney (2001) | corpus-based | 73.75% | 62.71–82.96% |
Hirst and St.-Onge (1998) | Jarmasz and Szpakowicz (2003) | lexicon-based | 77.91% | 68.17–87.11% |
Jarmasz and Szpakowicz (2003) | Jarmasz and Szpakowicz (2003) | lexicon-based | 78.75% | 68.17–87.11% |
Terra and Clarke (2003) | Terra and Clarke (2003) | corpus-based | 81.25% | 70.97–89.11% |
Rapp (2003) | Rapp (2003) | corpus-based | 92.50% | 84.39-97.20% |
Turney et al. (2003) | Turney et al. (2003) | hybrid | 97.50% | 91.26–99.70% |
Jarmasz, M., and Szpakowicz, S. (2003). Roget’s thesaurus and semantic similarity, Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP-03), Borovets, Bulgaria, September, pp. 212-219.