Enhancing The RATP-DECODA Corpus With Linguistic Annotations For Performing A Large Range Of NLP Tasks

no code implementations • LREC 2016 • Carole Lailler, L, Ana{\"\i}s eau, Fr{\'e}d{\'e}ric B{\'e}chet, Yannick Est{\`e}ve, Paul Del{\'e}glise

In this article, we present the RATP-DECODA Corpus which is composed by a set of 67 hours of speech from telephone conversations of a Customer Care Service (CCS).

Semantic Parsing