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Syrielle Montariol
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2020 – today
- 2024
- [c20]Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia:
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. AAAI 2024: 4207-4215 - [c19]Jibril Frej
, Anna Dai
, Syrielle Montariol
, Antoine Bosselut
, Tanja Käser
:
Course Recommender Systems Need to Consider the Job Market. SIGIR 2024: 522-532 - [i16]Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut:
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching. CoRR abs/2402.03242 (2024) - [i15]Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut:
Rethinking Skill Extraction in the Job Market Domain using Large Language Models. CoRR abs/2402.03832 (2024) - [i14]Li Mi, Syrielle Montariol, Javiera Castillo-Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia:
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. CoRR abs/2402.12846 (2024) - [i13]Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut:
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. CoRR abs/2403.00180 (2024) - [i12]Li Mi, Chang Xu, Javiera Castillo-Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia:
ConGeo: Robust Cross-view Geo-localization across Ground View Variations. CoRR abs/2403.13965 (2024) - [i11]Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic:
Multi-Task Learning for Features Extraction in Financial Annual Reports. CoRR abs/2404.05281 (2024) - [i10]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. CoRR abs/2404.10876 (2024) - 2023
- [c18]Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut
:
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. EMNLP 2023: 9785-9821 - [c17]Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut
:
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. EMNLP 2023: 15198-15216 - [c16]Andraz Pelicon, Syrielle Montariol, Petra Kralj Novak:
Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling. IDA 2023: 353-365 - [i9]Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut:
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. CoRR abs/2310.15239 (2023) - [i8]Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut
:
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. CoRR abs/2311.04284 (2023) - [i7]Zeming Chen
, Alejandro Hernández-Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy
, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley
, Martin Jaggi, Antoine Bosselut:
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. CoRR abs/2311.16079 (2023) - [i6]Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut:
Instruction-tuning Aligns LLMs to the Human Brain. CoRR abs/2312.00575 (2023) - 2022
- [c15]Clémentine Fourrier, Syrielle Montariol:
Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings. LChange@ACL 2022: 97-112 - [c14]Syrielle Montariol, Arij Riabi, Djamé Seddah:
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models. AACL/IJCNLP (Findings) 2022: 347-363 - [c13]Matej Martinc, Syrielle Montariol, Lidia Pivovarova, Elaine Zosa:
Effectiveness of Data Augmentation and Pretraining for Improving Neural Headline Generation in Low-Resource Settings. LREC 2022: 3561-3570 - [c12]Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic, Katarina Sitar Sustar, Riste Ichev, Martin Znidarsic:
Multi-task Learning for Features Extraction in Financial Annual Reports. PKDD/ECML Workshops (2) 2022: 7-24 - [c11]Arij Riabi, Syrielle Montariol, Djamé Seddah:
Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection). TALN-RECITAL 2022: 413-423 - [e2]Nina Tahmasebi, Syrielle Montariol, Andrey Kutuzov, Simon Hengchen, Haim Dubossarsky, Lars Borin:
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, LChange@ACL 2022, Dublin, Ireland, May 26-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-42-1 [contents] - [i5]Syrielle Montariol, Arij Riabi, Djamé Seddah:
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models. CoRR abs/2210.13029 (2022) - 2021
- [b1]Syrielle Montariol:
Models of diachronic semantic change using word embeddings. (Modèles diachroniques à base de plongements de mot pour l'analyse du changement sémantique). University of Paris-Saclay, France, 2021 - [c10]Syrielle Montariol, Alexandre Allauzen:
Measure and Evaluation of Semantic Divergence across Two Languages. ACL/IJCNLP (1) 2021: 1247-1258 - [c9]Syrielle Montariol, Alexandre Allauzen, Antoine Doucet:
État de l'art du changement sémantique à partir de plongements contextualisés. CORIA 2021 - [c8]Syrielle Montariol, Matej Martinc, Lidia Pivovarova
:
Scalable and Interpretable Semantic Change Detection. NAACL-HLT 2021: 4642-4652 - [c7]Syrielle Montariol, Alexandre Allauzen:
Transport Optimal pour le Changement Sémantique à partir de Plongements Contextualisés (Optimal Transport for Semantic Change Detection using Contextualised Embeddings ). TALN (1) 2021: 81-90 - [e1]Nina Tahmasebi, Adam Jatowt, Yang Xu, Simon Hengchen, Syrielle Montariol, Haim Dubossarsky:
Proceedings of The 2nd International Workshop on Computational Approaches to Historical Language Change 2021, LChange@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-60-2 [contents] - 2020
- [c6]Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection. SemEval@COLING 2020: 67-73 - [c5]Syrielle Montariol, Alexandre Allauzen:
Étude des variations sémantiques à travers plusieurs dimensions (Studying semantic variations through several dimensions ). JEP-TALN-RECITAL (2) 2020: 314-322 - [c4]Matej Martinc, Syrielle Montariol, Elaine Zosa
, Lidia Pivovarova
:
Capturing Evolution in Word Usage: Just Add More Clusters? WWW (Companion Volume) 2020: 343-349 - [i4]Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Capturing Evolution in Word Usage: Just Add More Clusters? CoRR abs/2001.06629 (2020)
2010 – 2019
- 2019
- [c3]Syrielle Montariol, Alexandre Allauzen:
Empirical Study of Diachronic Word Embeddings for Scarce Data. RANLP 2019: 795-803 - [c2]Syrielle Montariol, Alexandre Allauzen:
Apprentissage de plongements de mots dynamiques avec régularisation de la dérive (Learning dynamic word embeddings with drift regularisation). PFIA (Articles longs) 2019: 13-26 - [c1]Syrielle Montariol, Aina Garí Soler, Alexandre Allauzen:
Exploring sentence informativeness. PFIA (Articles courts) 2019: 303-312 - [i3]Syrielle Montariol, Aina Garí Soler, Alexandre Allauzen:
Exploring sentence informativeness. CoRR abs/1907.08469 (2019) - [i2]Syrielle Montariol, Alexandre Allauzen:
Learning dynamic word embeddings with drift regularisation. CoRR abs/1907.09169 (2019) - [i1]Syrielle Montariol, Alexandre Allauzen:
Empirical Study of Diachronic Word Embeddings for Scarce Data. CoRR abs/1909.01863 (2019)
Coauthor Index
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last updated on 2024-07-20 20:32 CEST by the dblp team
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