Conference Papers Year : 2015

Controlled generation of synthetic corpora for NLP evaluation

Abstract

Automatic processing is mandatory to build a global and fair view of opinions and sentiments expressed on the web through comments and reviews. Various Extracting Tools (ETs) exists to automatically analyse comments and reviews; however checking the accuracy of such tools remain quite challenging. We propose a new approach for that purpose. The main idea is to use a data-to-text approach to generate a synthetic corpus which can be used to validate ETs. The data represent what has to be said in which proportion about something (i.e: 45% of the review says the room is small). A set of reviews (the synthetic corpus) is then generated and the correctness of an ET can then be assessed in regards to its fairness regarding the original data.

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hal-03177929 , version 1 (23-03-2021)

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  • HAL Id : hal-03177929 , version 1

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Jérémie Démarchez, Cyril Labbé. Controlled generation of synthetic corpora for NLP evaluation. 1st Workshop on Data-to-text Generation, Mar 2015, Edinburgh, United Kingdom. ⟨hal-03177929⟩
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