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- W2305527244 abstract "Sentence similarity measures have applications in several tasks, including: Machine Translation, Paraphrase Identification, Speech Recognition, Question-answering and Text Summarization. However, measures designed for these tasks are aimed at assessing equivalence rather than resemblance, partly departing from human cognition of similarity. While this is reasonable for these activities, it hinders the applicability of sentence similarity measures to other tasks. We therefore propose a new sentence similarity measure specifically designed for resemblance evaluation, in order to cover these fields better. Experimental results are discussed." @default.
- W2305527244 created "2016-06-24" @default.
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- W2305527244 date "2016-02-01" @default.
- W2305527244 modified "2023-09-23" @default.
- W2305527244 title "Semantic Word Error Rate for Sentence Similarity" @default.
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- W2305527244 doi "https://doi.org/10.1109/icsc.2016.11" @default.
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