Rhetorical Move Detection in English Abstracts: Multi-label Sentence Classifiers and their Annotated Corpora

no code implementations • LREC 2012 • Carmen Dayrell, C, Arnaldo ido Jr., Gabriel Lima, Danilo Machado Jr., Ann Copestake, Val{\'e}ria Feltrim, Stella Tagnin, S Aluisio, ra

Here, we present MAZEA (Multi-label Argumentative Zoning for English Abstracts), a multi-label classifier which automatically identifies rhetorical moves in abstracts but allows for a given sentence to be assigned as many labels as appropriate.

Sentence

Approaches for Helping Brazilian Students Improve their Scientific Writings

no code implementations • WS 2013 • Ethel Schuster, Rick Lizotte, S Alu{\'\i}sio, ra M., Carmen Dayrell

Development of the Multilingual Semantic Annotation System

no code implementations • HLT 2015 • Paul Rayson, Scott Piao, Carmen Dayrell, Francesca Bianchi, Angela D'Egidio

Multilingual NLP

Lexical Coverage Evaluation of Large-scale Multilingual Semantic Lexicons for Twelve Languages

1 code implementation • LREC 2016 • Scott Piao, Paul Rayson, Dawn Archer, Francesca Bianchi, Carmen Dayrell, Mahmoud El-Haj, Ricardo-Mar{\'\i}a Jim{\'e}nez, Dawn Knight, Michal K{\v{r}}en, Laura L{\"o}fberg, Rao Muhammad Adeel Nawab, Jawad Shafi, Phoey Lee Teh, Olga Mudraya

Lexical coverage is an important factor concerning the quality of the lexicons and the performance of the corpus annotation tools, and in this experiment we focus on evaluating the lexical coverage achieved by the multilingual lexicons and semantic annotation tools based on them.