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ORCIDPierre Colombo
Pierre Jean A. Colombo
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2020 – today
- 2024
[j5]Nuno Miguel Guerreiro, Ricardo Rei, Daan van Stigt, Luísa Coheur, Pierre Colombo, André F. T. Martins:
xcomet : Transparent Machine Translation Evaluation through Fine-grained Error Detection. Trans. Assoc. Comput. Linguistics 12: 979-995 (2024)- [j4]Nuno Miguel Guerreiro, Ricardo Rei, Daan van Stigt, Luísa Coheur, Pierre Colombo, André F. T. Martins:
xcomet : Transparent Machine Translation Evaluation through Fine-grained Error Detection. Trans. Assoc. Comput. Linguistics 12: 979-995 (2024) - [j3]Guillaume Staerman, Pavlo Mozharovskyi, Pierre Colombo, Stéphan Clémençon, Florence d'Alché-Buc:
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions. Trans. Mach. Learn. Res. 2024 (2024) - [c28]Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo:
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. AAAI 2024: 17880-17888 - [i43]Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio F. Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud
, Céline Hudelot, Pierre Colombo:
CroissantLLM: A Truly Bilingual French-English Language Model. CoRR abs/2402.00786 (2024) - [i42]Nicolas Boizard, Kevin El Haddad, Céline Hudelot, Pierre Colombo:
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs. CoRR abs/2402.12030 (2024) - [i41]Hippolyte Gisserot-Boukhlef, Manuel Faysse, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo:
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism. CoRR abs/2402.12997 (2024) - [i40]Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno Miguel Guerreiro:
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation. CoRR abs/2402.13331 (2024) - [i39]Duarte M. Alves, José Pombal, Nuno Miguel Guerreiro, Pedro Henrique Martins, João Alves, M. Amin Farajian, Ben Peters, Ricardo Rei, Patrick Fernandes, Sweta Agrawal, Pierre Colombo, José G. C. de Souza, André F. T. Martins:
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks. CoRR abs/2402.17733 (2024) - [i38]Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, André F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa:
SaulLM-7B: A pioneering Large Language Model for Law. CoRR abs/2403.03883 (2024) - [i37]Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, Céline Hudelot, Pierre Colombo:
ColPali: Efficient Document Retrieval with Vision Language Models. CoRR abs/2407.01449 (2024) - [i36]Pierre Colombo, Telmo Pires, Malik Boudiaf, Rui Melo, Dominic Culver, Sofia Morgado, Etienne Malaboeuf, Gabriel Hautreux, Johanne Charpentier, Michael Desa:
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain. CoRR abs/2407.19584 (2024) - [i35]Pedro Henrique Martins, Patrick Fernandes, João Alves, Nuno Miguel Guerreiro, Ricardo Rei, Duarte M. Alves, José Pombal, M. Amin Farajian, Manuel Faysse, Mateusz Klimaszewski, Pierre Colombo, Barry Haddow, José G. C. de Souza, Alexandra Birch, André F. T. Martins:
EuroLLM: Multilingual Language Models for Europe. CoRR abs/2409.16235 (2024) - [i34]Hippolyte Gisserot-Boukhlef, Ricardo Rei, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo, Nuno Miguel Guerreiro:
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis. CoRR abs/2409.20059 (2024) - 2023
- [j2]Nuno Miguel Guerreiro, Duarte M. Alves, Jonas Waldendorf, Barry Haddow, Alexandra Birch, Pierre Colombo, André F. T. Martins:
Hallucinations in Large Multilingual Translation Models. Trans. Assoc. Comput. Linguistics 11: 1500-1517 (2023) - [j1]Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo:
A Halfspace-Mass Depth-Based Method for Adversarial Attack Detection. Trans. Mach. Learn. Res. 2023 (2023) - [c27]Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins:
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. ACL (1) 2023: 13766-13784 - [c26]Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida:
Toward Stronger Textual Attack Detectors. EMNLP (Findings) 2023: 484-505 - [c25]Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida:
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. EMNLP 2023: 4214-4231 - [c24]Maxime Darrin, Pablo Piantanida, Pierre Colombo:
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data. EMNLP 2023: 5831-5857 - [c23]Manuel Faysse, Gautier Viaud, Céline Hudelot, Pierre Colombo:
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. EMNLP 2023: 9033-9048 - [c22]Duarte M. Alves, Nuno Miguel Guerreiro, João Alves, José Pombal, Ricardo Rei, José Guilherme Camargo de Souza, Pierre Colombo, André F. T. Martins:
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. EMNLP (Findings) 2023: 11127-11148 - [c21]Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida:
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. IJCNLP (Findings) 2023: 178-183 - [c20]Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida:
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification. IJCNLP (Findings) 2023: 184-198 - [i33]Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo:
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection. CoRR abs/2302.09852 (2023) - [i32]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. CoRR abs/2303.03915 (2023) - [i31]Nuno Miguel Guerreiro, Duarte M. Alves, Jonas Waldendorf, Barry Haddow, Alexandra Birch, Pierre Colombo, André F. T. Martins:
Hallucinations in Large Multilingual Translation Models. CoRR abs/2303.16104 (2023) - [i30]Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo:
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks. CoRR abs/2305.10284 (2023) - [i29]Eduardo Dadalto Câmara Gomes, Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection. CoRR abs/2306.03522 (2023) - [i28]Nuno Miguel Guerreiro, Ricardo Rei, Daan van Stigt, Luísa Coheur, Pierre Colombo, André F. T. Martins:
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection. CoRR abs/2310.10482 (2023) - [i27]Duarte M. Alves, Nuno Miguel Guerreiro, João Alves, José Pombal, Ricardo Rei, José G. C. de Souza, Pierre Colombo, André F. T. Martins:
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. CoRR abs/2310.13448 (2023) - [i26]Pierre Colombo, Nathan Noiry, Guillaume Staerman, Pablo Piantanida:
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification. CoRR abs/2310.13990 (2023) - [i25]Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida:
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR abs/2310.13998 (2023) - [i24]Pierre Colombo, Marine Picot, Nathan Noiry, Guillaume Staerman, Pablo Piantanida:
Toward Stronger Textual Attack Detectors. CoRR abs/2310.14001 (2023) - [i23]Manuel Faysse, Gautier Viaud, Céline Hudelot, Pierre Colombo:
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. CoRR abs/2310.14103 (2023) - 2022
- [c19]Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida:
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. AAAI 2022: 10554-10562 - [c18]Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
Learning Disentangled Textual Representations via Statistical Measures of Similarity. ACL (1) 2022: 2614-2630 - [c17]Cyril Chhun, Pierre Colombo, Fabian M. Suchanek, Chloé Clavel:
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation. COLING 2022: 5794-5836 - [c16]Georg Pichler, Pierre Jean A. Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida:
A Differential Entropy Estimator for Training Neural Networks. ICML 2022: 17691-17715 - [c15]Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
Beyond Mahalanobis Distance for Textual OOD Detection. NeurIPS 2022 - [c14]Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon:
What are the best Systems? New Perspectives on NLP Benchmarking. NeurIPS 2022 - [c13]Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite:
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. NeurIPS 2022 - [i22]Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon:
What are the best systems? New perspectives on NLP Benchmarking. CoRR abs/2202.03799 (2022) - [i21]Georg Pichler, Pierre Colombo, Malik Boudiaf, Günther Koliander, Pablo Piantanida:
KNIFE: Kernelized-Neural Differential Entropy Estimation. CoRR abs/2202.06618 (2022) - [i20]Pierre Colombo, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
Learning Disentangled Textual Representations via Statistical Measures of Similarity. CoRR abs/2205.03589 (2022) - [i19]Cyril Chhun, Pierre Colombo, Chloé Clavel, Fabian M. Suchanek:
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation. CoRR abs/2208.11646 (2022) - [i18]Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida:
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. CoRR abs/2208.14585 (2022) - [i17]Pierre Colombo, Eduardo Dadalto Câmara Gomes, Guillaume Staerman, Nathan Noiry, Pablo Piantanida:
Beyond Mahalanobis-Based Scores for Textual OOD Detection. CoRR abs/2211.13527 (2022) - [i16]Maxime Darrin, Pablo Piantanida, Pierre Colombo:
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data. CoRR abs/2212.09171 (2022) - [i15]Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins:
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. CoRR abs/2212.09631 (2022) - 2021
- [b1]Pierre Colombo:
Apprendre à représenter et à générer du texte en utilisant des mesures d'information. (Learning to represent and generate text using information measures). Polytechnic Institute of Paris, France, 2021 - [c12]Pierre Colombo, Pablo Piantanida, Chloé Clavel:
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. ACL/IJCNLP (1) 2021: 6539-6550 - [c11]Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel:
Improving Multimodal fusion via Mutual Dependency Maximisation. EMNLP (1) 2021: 231-245 - [c10]Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel:
Code-switched inspired losses for spoken dialog representations. EMNLP (1) 2021: 8320-8337 - [c9]Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida:
Automatic Text Evaluation through the Lens of Wasserstein Barycenters. EMNLP (1) 2021: 10450-10466 - [c8]Pierre Colombo, Chloé Clavel, Chouchang (Jack) Yang, Giovanna Varni:
Beam Search with Bidirectional Strategies for Neural Response Generation. ICNLSP 2021: 287-294 - [i14]Pierre Colombo, Chloé Clavel, Pablo Piantanida:
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations. CoRR abs/2105.02685 (2021) - [i13]Pierre Colombo, Guillaume Staerman, Chloé Clavel, Pablo Piantanida:
Automatic Text Evaluation through the Lens of Wasserstein Barycenters. CoRR abs/2108.12463 (2021) - [i12]Emile Chapuis, Pierre Colombo, Matthieu Labeau, Chloé Clavel:
Code-switched inspired losses for generic spoken dialog representations. CoRR abs/2108.12465 (2021) - [i11]Pierre Colombo, Emile Chapuis, Matthieu Labeau, Chloé Clavel:
Improving Multimodal fusion via Mutual Dependency Maximisation. CoRR abs/2109.00922 (2021) - [i10]Pierre Colombo, Chouchang Yang, Giovanna Varni, Chloé Clavel:
Beam Search with Bidirectional Strategies for Neural Response Generation. CoRR abs/2110.03389 (2021) - [i9]Pierre Colombo, Chloé Clavel, Pablo Piantanida:
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. CoRR abs/2112.01589 (2021) - [i8]Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2020
- [c7]Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel:
Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction. AAAI 2020: 7594-7601 - [c6]Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloé Clavel:
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog. EMNLP (Findings) 2020: 2636-2648 - [c5]Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, Chloé Clavel:
The importance of fillers for text representations of speech transcripts. EMNLP (1) 2020: 7985-7993 - [c4]Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin:
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. NeurIPS 2020 - [i7]Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel:
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction. CoRR abs/2002.08801 (2020) - [i6]Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel:
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue. CoRR abs/2002.09419 (2020) - [i5]Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin:
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. CoRR abs/2003.11593 (2020) - [i4]Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloé Clavel:
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog. CoRR abs/2009.11152 (2020) - [i3]Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, Chloé Clavel:
The importance of fillers for text representations of speech transcripts. CoRR abs/2009.11340 (2020)
2010 – 2019
- 2019
- [c3]Alexandre Garcia, Pierre Colombo, Florence d'Alché-Buc, Slim Essid, Chloé Clavel:
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. EMNLP/IJCNLP (1) 2019: 5538-5547 - [c2]Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia:
Affect-Driven Dialog Generation. NAACL-HLT (1) 2019: 3734-3743 - [i2]Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy, Mubbasir Kapadia:
Affect-Driven Dialog Generation. CoRR abs/1904.02793 (2019) - [i1]Alexandre Garcia, Pierre Colombo, Slim Essid, Florence d'Alché-Buc, Chloé Clavel:
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. CoRR abs/1908.11216 (2019) - 2018
- [c1]Wojciech Witon, Pierre Colombo, Ashutosh Modi, Mubbasir Kapadia:
Disney at IEST 2018: Predicting Emotions using an Ensemble. WASSA@EMNLP 2018: 248-253
Coauthor Index
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