1 code implementation • EACL 2021 • Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly
Tasks, Datasets and Evaluation Metrics are important concepts for understanding experimental scientific papers.
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.
no code implementations • 25 Nov 2019 • Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim
One of the main tasks in argument mining is the retrieval of argumentative content pertaining to a given topic.
no code implementations • IJCNLP 2019 • Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, David Konopnicki
We present a novel system providing summaries for Computer Science publications.
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.
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.
no code implementations • ACL 2018 • Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim
We propose a methodology to blend high quality but scarce strong labeled data with noisy but abundant weak labeled data during the training of neural networks.
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.
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.