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ORCIDLeonor Becerra-Bonache
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2020 – today
- 2024
[c38]Dhia-Elhak Goumri
, Abhishek Agrawal, Mitja Nikolaus, Hong Duc Thang Vu, Kübra Bodur, Elias Emmar, Cassandre Armand, Chiara Mazzocconi, Shreejata Gupta, Laurent Prévot, Benoît Favre, Leonor Becerra-Bonache, Abdellah Fourtassi:
CHICA: A Developmental Corpus of Child-Caregiver's Face-to-face vs. Video Call Conversations in Middle Childhood. LREC/COLING 2024: 3153-3164- [c37]Eliot Maës, Hossam Boudraa, Philippe Blache, Leonor Becerra-Bonache:
Did You Get It? A Zero-Shot Approach to Locate Information Transfers in Conversations. LREC/COLING 2024: 4877-4890 - [c36]Dhia-Elhak Goumri, Abhishek Agrawal, Mitja Nikolaus, Hong Duc Thang Vu, Kübra Bodur, Elias Semmar, Cassandre Armand, Chiara Mazzocconi, Shreejata Gupta, Laurent Prévot, Benoît Favre, Leonor Becerra-Bonache, Abdellah Fourtassi:
ChiCA: un corpus de conversations face-à-face vs. Zoom entre enfants et parents. TALN (2) 2024: 4-5 - [c35]Eliot Maës, Thierry Legou, Leonor Becerra-Bonache, Philippe Blache:
Le corpus BrainKT: Etudier l'instanciation du common ground par l'analyse des indices verbaux, gestuels et neurophysiologiques. TALN (2) 2024: 14-15 - [c34]Eliot Maës, Hossam Boudraa, Philippe Blache, Leonor Becerra-Bonache:
Une approche zero-shot pour localiser les transferts d'informations en conversation naturelle. TALN (2) 2024: 22 - 2023
- [c33]Dhia-Elhak Goumri, Thomas Janssoone, Leonor Becerra-Bonache, Abdellah Fourtassi:
Automatic Detection of Gaze and Smile in Children's Video Calls. ICMI Companion 2023: 383-388 - [c32]Eliot Maës, Thierry Legou, Leonor Becerra, Philippe Blache:
Studying Common Ground Instantiation Using Audio, Video and Brain Behaviours: The BrainKT Corpus. RANLP 2023: 691-702 - 2022
- [c31]Eliot Maës, Philippe Blache, Leonor Becerra:
Shared knowledge in natural conversations: can entropy metrics shed light on information transfers? CoNLL 2022: 213-227 - 2021
- [j5]Sebastien Delecraz, Leonor Becerra-Bonache, Benoît Favre, Alexis Nasr, Frédéric Béchet:
Multimodal Machine Learning for Natural Language Processing: Disambiguating Prepositional Phrase Attachments with Images. Neural Process. Lett. 53(5): 3095-3121 (2021)
2010 – 2019
- 2019
- [c30]Sebastien Delecraz, Leonor Becerra-Bonache, Alexis Nasr, Frédéric Béchet, Benoît Favre:
Visual Disambiguation of Prepositional Phrase Attachments: Multimodal Machine Learning for Syntactic Analysis Correction. IWANN (1) 2019: 632-643 - 2018
- [c29]Leonor Becerra-Bonache, María Dolores Jiménez-López:
Natural Language Complexity and Machine Learning. DCAI (Special Sessions) 2018: 240-247 - [c28]Sebastien Delecraz, Leonor Becerra-Bonache, Benoît Favre, Alexis Nasr, Frédéric Béchet:
Correction automatique d'attachements prépositionnels par utilisation de traits visuels (PP-attachement resolution using visual features). CORIA-TALN-RJC (TALN) 2018: 171-182 - 2017
- [j4]Dana Angluin, Leonor Becerra-Bonache:
A model of language learning with semantics and meaning-preserving corrections. Artif. Intell. 242: 23-51 (2017) - 2016
- [c27]María Dolores Jiménez-López, Leonor Becerra-Bonache:
Could Machine Learning Shed Light on Natural Language Complexity? CL4LC@COLING 2016 2016: 1-11 - [c26]Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet:
Relational Grounded Language Learning. ECAI 2016: 1764-1765 - [c25]Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet:
Learning Language Models from Images with ReGLL. ECML/PKDD (3) 2016: 55-58 - 2015
- [c24]Leonor Becerra-Bonache, Hendrik Blockeel, María Galván, François Jacquenet:
A First-Order-Logic Based Model for Grounded Language Learning. IDA 2015: 49-60 - [c23]Leonor Becerra-Bonache, María Dolores Jiménez-López:
A Grammatical Inference Model for Measuring Language Complexity. IWANN (1) 2015: 3-17 - [c22]Leonor Becerra-Bonache, María Galván, François Jacquenet:
A Proposal for Contextual Grammatical Inference. IWANN (1) 2015: 18-28 - [c21]Leonor Becerra-Bonache, María Dolores Jiménez-López:
Learning, Agents, and Formal Languages: Linguistic Applications of Interdisciplinary Fields. PAAMS (Special Sessions) 2015: 39-46 - 2014
- [j3]Leonor Becerra-Bonache, María Dolores Jiménez-López:
An Overview of the Interrelation Among Agent Systems, Learning Models and Formal Languages. Trans. Comput. Collect. Intell. 17: 46-65 (2014) - [c20]Leonor Becerra-Bonache:
How can Grammatical Inference Contribute to Computational Linguistics? CiE 2014: 21-31 - [c19]Leonor Becerra-Bonache, Verónica Dahl, María Dolores Jiménez-López:
Womb Grammars as a Bio-inspired Model for Grammar Induction. PAAMS (Special Sessions) 2014: 79-86 - 2013
- [c18]Leonor Becerra-Bonache, María Dolores Jiménez-López:
Learning, Agents and Formal Languages - State of the Art. ICAART (1) 2013: 470-478 - [c17]Leonor Becerra-Bonache, Verónica Dahl, J. Emilio Miralles:
On Second Language Tutoring through Womb Grammars. IWANN (1) 2013: 189-197 - 2012
- [c16]Leonor Becerra-Bonache, Verónica Dahl, J. Emilio Miralles:
The Role of Universal Constraints in Language Acquisition. CSLP 2012: 1-13 - [c15]Leonor Becerra-Bonache, Élisa Fromont, Amaury Habrard, Michaël Perrot, Marc Sebban:
Speeding Up Syntactic Learning Using Contextual Information. ICGI 2012: 49-53 - 2011
- [c14]Dana Angluin, Leonor Becerra-Bonache:
Effects of Meaning-Preserving Corrections on Language Learning. CoNLL 2011: 97-105 - [c13]Dana Angluin, Leonor Becerra-Bonache:
An Overview of How Semantics and Corrections Can Help Language Learning. Web Intelligence/IAT Workshops 2011: 147-150 - [c12]Leonor Becerra-Bonache:
Towards a Bio-computational Model of Natural Language Learning. IWANN (1) 2011: 473-480 - [c11]Leonor Becerra-Bonache:
Bio-inspired Grammatical Inference. IWINAC (1) 2011: 313-322 - [p1]Leonor Becerra-Bonache, María Dolores Jiménez-López:
A Language-Acquisition-Based Approach to Grammatical Inference. Biology, Computation and Linguistics 2011: 104-114 - 2010
- [j2]Leonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan:
Iterative learning of simple external contextual languages. Theor. Comput. Sci. 411(29-30): 2741-2756 (2010) - [c10]Leonor Becerra-Bonache, Suna Bensch, María Dolores Jiménez-López:
The Linguistic Relevance of Lindenmayer Systems. ICAART (2) 2010: 395-402 - [c9]Leonor Becerra-Bonache, Suna Bensch, María Dolores Jiménez-López:
L Systems as Bio-MAS for Natural Language Processing. PAAMS (Special Sessions and Workshops) 2010: 395-402
2000 – 2009
- 2009
- [c8]Dana Angluin, Leonor Becerra-Bonache, Adrian-Horia Dediu, Lev Reyzin:
Learning Finite Automata Using Label Queries. ALT 2009: 171-185 - [c7]Leonor Becerra-Bonache, Adrian-Horia Dediu:
Learning from a Smarter Teacher. IDEAL 2009: 200-207 - 2008
- [j1]Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini:
Learning Balls of Strings from Edit Corrections. J. Mach. Learn. Res. 9: 1841-1870 (2008) - [c6]Leonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan:
Iterative Learning of Simple External Contextual Languages. ALT 2008: 359-373 - [c5]Dana Angluin, Leonor Becerra-Bonache:
Learning Meaning Before Syntax. ICGI 2008: 1-14 - 2007
- [c4]Leonor Becerra-Bonache, Colin de la Higuera, Jean-Christophe Janodet, Frédéric Tantini:
Learning Balls of Strings with Correction Queries. ECML 2007: 18-29 - 2006
- [c3]Tim Oates, Tom Armstrong, Leonor Becerra-Bonache, Mike Atamas:
Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time. ICGI 2006: 137-147 - [c2]Leonor Becerra-Bonache, Adrian-Horia Dediu, Cristina Tîrnauca:
Learning DFA from Correction and Equivalence Queries. ICGI 2006: 281-292 - 2004
- [c1]Leonor Becerra-Bonache, Takashi Yokomori:
Learning Mild Context-Sensitiveness: Toward Understanding Children's Language Learning. ICGI 2004: 53-64
Coauthor Index
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last updated on 2024-10-08 21:32 CEST by the dblp team
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