no code implementations • ACL (MWE) 2021 • Aggeliki Fotopoulou, Eric Laporte, Takuya Nakamura
Expressions with an aspectual variant of a light verb, e. g. ‘take on debt’ vs. ‘have debt’, are frequent in texts but often difficult to classify between verbal idioms, light verb constructions or compositional phrases.
no code implementations • PANDL (COLING) 2022 • Jeongwoo Yoon, Onyu Park, Changhoe Hwang, Gwanghoon Yoo, Eric Laporte, Jeesun Nam
Natural language understanding (NLU) is integral to task-oriented dialog systems, but demands a considerable amount of annotated training data to increase the coverage of diverse utterances.
no code implementations • PANDL (COLING) 2022 • Suwon Choi, Shinwoo Kim, Changhoe Hwang, Gwanghoon Yoo, Eric Laporte, Jeesun Nam
We report the construction of a Korean evaluation-annotated corpus, hereafter called ‘Evaluation Annotated Dataset (EVAD)’, and its use in Aspect-Based Sentiment Analysis (ABSA) extended in order to cover e-commerce reviews containing sentiment and non-sentiment linguistic patterns.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)
no code implementations • 19 Apr 2019 • Maria José Finatto, Oto Vale, Eric Laporte
We report an experiment to check the identification of a set of words in popular written Portuguese with two versions of a computational dictionary of Brazilian Portuguese, DELAF PB 2004 and DELAF PB 2015.
no code implementations • 7 Apr 2014 • Anthony Sigogne, Matthieu Constant, Eric Laporte
This article reports the evaluation of the integration of data from a syntactic-semantic lexicon, the Lexicon-Grammar of French, into a syntactic parser.