466 citations
- Université Grenoble AlpesFR107 papers
- Centre National de la Recherche ScientifiqueFR59 papers
- Institut polytechnique de GrenobleFR40 papers
- Institut national de recherche en sciences et technologies du numériqueFR31 papers
- Centre Inria de l'Université Grenoble AlpesFR26 papers
- GIPSA-LabFR15 papers
- Institute of MiningRU8 papers
- Université Paris CitéFR7 papers
- Institut de Recherche en Informatique de ToulouseFR6 papers
- Institut des langues et cultures d'Europe, Amérique, Afrique, Asie et AustralieFR6 papers
- Université Savoie Mont BlancFR6 papers
- Université Toulouse III - Paul SabatierFR6 papers
9 papers · 1 filter
Detection of tortured phrases in scientific literature
Eléna Martel, Martin Lentschat, Cyril Labbé
This paper presents various automatic detection methods to extract so called tortured phrases from scientific papers. These tortured phrases, e.g. flag to clamor instead of signal…
NanoNER: Named Entity Recognition for nanobiology using experts' knowledge and distant supervision
Martin Lentschat, Cyril Labbé, Ran Cheng
Here we present the training and evaluation of NanoNER, a Named Entity Recognition (NER) model for Nanobiology. NER consists in the identification of specific entities in spans of…
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation
Petra Galuščáková Romain Deveaud, Gabriela Gonzalez-Saez, Philippe Mulhem +3
LongEval-Retrieval is a Web document retrieval benchmark that focuses on continuous retrieval evaluation. This test collection is intended to be used to study the temporal persiste…
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model
Till Kletti, Jean-Michel Renders, Patrick Loiseau
In recent years, it has become clear that rankings delivered in many areas need not only be useful to the users but also respect fairness of exposure for the item producers. We con…
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings
Till Kletti, Jean-Michel Renders, Patrick Loiseau
We consider the problem of computing a sequence of rankings that maximizes consumer-side utility while minimizing producer-side individual unfairness of exposure. While prior work…
Quels corpus d'entraînement pour l'expansion de requêtes par plongement de mots : application à la recherche de microblogs culturels
Philippe Mulhem, Lorraine Goeuriot, Massih-Reza Amini +1
We describe here an experimental framework and the results obtained on microblogs retrieval. We study the contribution one popular approach, i.e., words embeddings, and investigate…