Search Results for author: Martin Gleize

Found 11 papers, 2 papers with code

HBCP Corpus: A New Resource for the Analysis of Behavioural Change Intervention Reports

no code implementations LREC 2020 Francesca Bonin, Martin Gleize, Ailbhe Finnerty, C. Moore, ice, Charles Jochim, Emma Norris, Yufang Hou, Alison J. Wright, Debasis Ganguly, Emily Hayes, Silje Zink, Aless Pascale, ra, Pol Mac Aonghusa, Susan Michie

Due to the fast pace at which research reports in behaviour change are published, researchers, consultants and policymakers would benefit from more automatic ways to process these reports.

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network

no code implementations ACL 2019 Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim

With the advancement in argument detection, we suggest to pay more attention to the challenging task of identifying the more convincing arguments.

Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction

1 code implementation ACL 2019 Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly

While the fast-paced inception of novel tasks and new datasets helps foster active research in a community towards interesting directions, keeping track of the abundance of research activity in different areas on different datasets is likely to become increasingly difficult.

Scientific Results Extraction

Noyaux de r\'e\'ecriture de phrases munis de types lexico-s\'emantiques

no code implementations JEPTALNRECITAL 2015 Martin Gleize, Brigitte Grau

De nombreux probl{\`e}mes en traitement automatique des langues requi{\`e}rent de d{\'e}terminer si deux phrases sont des r{\'e}{\'e}critures l{'}une de l{'}autre.

A hierarchical taxonomy for classifying hardness of inference tasks

no code implementations LREC 2014 Martin Gleize, Brigitte Grau

In this paper we propose a hierarchical taxonomy for inferences, relatively to their hardness, and with corpus annotation and system design and evaluation in mind.

coreference-resolution Information Retrieval +5

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