Generalizing Sub-sentential Paraphrase Acquisition across Original Signal Type of Text Pairs
نویسندگان
چکیده
This paper describes a study on the impact of the original signal (text, speech, visual scene, event) of a text pair on the task of both manual and automatic sub-sentential paraphrase acquisition. A corpus of 2,500 annotated sentences in English and French is described, and performance on this corpus is reported for an efficient system combination exploiting a large set of features for paraphrase recognition. A detailed quantified typology of subsentential paraphrases found in our corpus types is given.
منابع مشابه
Etude de la paraphrase sous-phrastique en traitement automatique des langues. (A study of sub-sentential paraphrases in Natural Language Processing)
Language variation, or the fact that messages can be conveyed in a great variety of ways by means of linguistic expressions, is one of the most challenging and certainly fascinating features of language for Natural Language Processing, with wide applications in language analysis and generation. The term paraphrase is now commonly used to refer to textual units of equivalent meaning, down to the...
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