EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Paraphrasing with bilingual parallel corpora
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
NAACL-Tutorials '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Tutorial Abstracts
Fluency, adequacy, or HTER?: exploring different human judgments with a tunable MT metric
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine Translation
Classification errors in a domain-independent assessment system
EANL '08 Proceedings of the Third Workshop on Innovative Use of NLP for Building Educational Applications
Collecting highly parallel data for paraphrase evaluation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
SemEval-2012 task 6: a pilot on semantic textual similarity
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
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Many problems in natural language processing can be viewed as variations of the task of measuring the semantic textual similarity between short texts. However, many systems that address these tasks focus on a single task and may or may not generalize well. In this work, we extend an existing machine translation metric, TERp (Snover et al., 2009a), by adding support for more detailed feature types and by implementing a discriminative learning algorithm. These additions facilitate applications of our system, called PERP, to similarity tasks other than machine translation evaluation, such as paraphrase recognition. In the SemEval 2012 Semantic Textual Similarity task, PERP performed competitively, particularly at the two surprise subtasks revealed shortly before the submission deadline.