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2020 – today
- 2024
[c60]Raphaël Mouravieff, Benjamin Piwowarski, Sylvain Lamprier:
Learning Relational Decomposition of Queries for Question Answering from Tables. ACL (1) 2024: 10471-10485- [c59]Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki:
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. ICLR 2024 - [i31]Jean Pinsolle, Olivier Goudet, Cyrille Enderli, Sylvain Lamprier, Jin-Kao Hao:
Deinterleaving of Discrete Renewal Process Mixtures with Application to Electronic Support Measures. CoRR abs/2402.09166 (2024) - [i30]Raphaël Mouravieff, Benjamin Piwowarski, Sylvain Lamprier:
Training Table Question Answering via SQL Query Decomposition. CoRR abs/2402.13288 (2024) - [i29]Lucas Schott, Joséphine Delas, Hatem Hajri, Elies Gherbi, Reda Yaich, Nora Boulahia-Cuppens, Frédéric Cuppens, Sylvain Lamprier:
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey. CoRR abs/2403.00420 (2024) - 2023
- [j16]Hatem Hajri, Manon Césaire, Lucas Schott, Sylvain Lamprier, Patrick Gallinari:
Neural Adversarial Attacks with Random Noises. Int. J. Artif. Intell. Tools 32(5): 2360010:1-2360010:22 (2023) - [j15]Vincent Grari
, Sylvain Lamprier, Marcin Detyniecki:
Adversarial learning for counterfactual fairness. Mach. Learn. 112(3): 741-763 (2023) - [c58]Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer:
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. ICML 2023: 3676-3713 - [c57]Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier:
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning. ICML 2023: 3714-3731 - [c56]Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin:
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search. ICML 2023: 15655-15668 - [i28]Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer:
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. CoRR abs/2302.02662 (2023) - [i27]Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin:
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search. CoRR abs/2302.11223 (2023) - [i26]Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki:
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. CoRR abs/2310.18413 (2023) - 2022
- [j14]Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski:
On the Study of Transformers for Query Suggestion. ACM Trans. Inf. Syst. 40(1): 18:1-18:27 (2022) - [c55]Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier, Alessandro Lazaric, Ludovic Denoyer:
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching. ICLR 2022 - [c54]Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
A Neural Tangent Kernel Perspective of GANs. ICML 2022: 6660-6704 - [c53]Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski:
Generative Cooperative Networks for Natural Language Generation. ICML 2022: 11891-11905 - [c52]Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski:
IRnator: A Framework for Discovering Users Needs from Sets of Suggestions. ICTIR 2022: 138-143 - [c51]Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Fairness without the Sensitive Attribute via Causal Variational Autoencoder. IJCAI 2022: 696-702 - [c50]Lucas Schott, Hatem Hajri, Sylvain Lamprier:
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network. IJCNN 2022: 1-8 - [c49]Thomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier:
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. NeurIPS 2022 - [c48]Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau:
Which Discriminator for Cooperative Text Generation? SIGIR 2022: 2360-2365 - [c47]Antoine Chaffin, Vincent Claveau, Ewa Kijak, Sylvain Lamprier, Benjamin Piwowarski, Thomas Scialom, Jacopo Staiano:
Choisir le bon co-équipier pour la génération coopérative de texte (Choosing The Right Teammate For Cooperative Text Generation). TALN-RECITAL 2022: 12-26 - [i25]Sylvain Lamprier, Thomas Scialom, Antoine Chaffin, Vincent Claveau, Ewa Kijak, Jacopo Staiano, Benjamin Piwowarski:
Generative Cooperative Networks for Natural Language Generation. CoRR abs/2201.12320 (2022) - [i24]Vincent Grari, Arthur Charpentier, Sylvain Lamprier, Marcin Detyniecki:
A fair pricing model via adversarial learning. CoRR abs/2202.12008 (2022) - [i23]Antoine Chaffin, Thomas Scialom, Sylvain Lamprier, Jacopo Staiano, Benjamin Piwowarski, Ewa Kijak, Vincent Claveau:
Which Discriminator for Cooperative Text Generation? CoRR abs/2204.11586 (2022) - [i22]Nicolas Castanet, Sylvain Lamprier, Olivier Sigaud:
Stein Variational Goal Generation For Reinforcement Learning in Hard Exploration Problems. CoRR abs/2206.06719 (2022) - [i21]Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud:
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. CoRR abs/2206.09674 (2022) - 2021
- [j13]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Deep dynamic neural networks for temporal language modeling in author communities. Knowl. Inf. Syst. 63(3): 733-757 (2021) - [c46]Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang, Patrick Gallinari:
QuestEval: Summarization Asks for Fact-based Evaluation. EMNLP (1) 2021: 6594-6604 - [c45]Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari:
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation. EMNLP (1) 2021: 8029-8036 - [c44]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. ICLR 2021 - [c43]Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki:
Enforcing Individual Fairness via Rényi Variational Inference. ICONIP (5) 2021: 608-616 - [c42]Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. ICTAI 2021: 1247-1254 - [c41]Thomas Scialom, Paul-Alexis Dray, Jacopo Staiano, Sylvain Lamprier, Benjamin Piwowarski:
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs. NeurIPS 2021: 26585-26597 - [c40]Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki:
Learning Unbiased Representations via Rényi Minimization. ECML/PKDD (2) 2021: 749-764 - [i20]Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, Alex Wang:
SAFEval: Summarization Asks for Fact-based Evaluation. CoRR abs/2103.12693 (2021) - [i19]Lucas Schott, Manon Césaire, Hatem Hajri, Sylvain Lamprier:
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks. CoRR abs/2104.03154 (2021) - [i18]Clément Rebuffel, Thomas Scialom, Laure Soulier, Benjamin Piwowarski, Sylvain Lamprier, Jacopo Staiano, Geoffrey Scoutheeten, Patrick Gallinari:
Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation. CoRR abs/2104.07555 (2021) - [i17]Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
A Neural Tangent Kernel Perspective of GANs. CoRR abs/2106.05566 (2021) - [i16]Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs. CoRR abs/2106.06363 (2021) - [i15]Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Fairness without the sensitive attribute via Causal Variational Autoencoder. CoRR abs/2109.04999 (2021) - 2020
- [b2]Sylvain Lamprier:
Apprentissage et Inférence Structurelle pour l'Extraction de Dynamiques de l'Information. Sorbonne Universite, France, 2020 - [j12]Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Achieving Fairness with Decision Trees: An Adversarial Approach. Data Sci. Eng. 5(2): 99-110 (2020) - [c39]Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski:
Using BERT and BART for Query Suggestion. CIRCLE 2020 - [c38]Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
MLSUM: The Multilingual Summarization Corpus. EMNLP (1) 2020: 8051-8067 - [c37]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. ICML 2020: 3233-3246 - [c36]Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
Discriminative Adversarial Search for Abstractive Summarization. ICML 2020: 8555-8564 - [c35]Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Fairness-Aware Neural Rényi Minimization for Continuous Features. IJCAI 2020: 2262-2268 - [c34]Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
ColdGANs: Taming Language GANs with Cautious Sampling Strategies. NeurIPS 2020 - [i14]Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari:
Stochastic Latent Residual Video Prediction. CoRR abs/2002.09219 (2020) - [i13]Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
Discriminative Adversarial Search for Abstractive Summarization. CoRR abs/2002.10375 (2020) - [i12]Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
MLSUM: The Multilingual Summarization Corpus. CoRR abs/2004.14900 (2020) - [i11]Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
ColdGANs: Taming Language GANs with Cautious Sampling Strategies. CoRR abs/2006.04643 (2020) - [i10]Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari:
PDE-Driven Spatiotemporal Disentanglement. CoRR abs/2008.01352 (2020) - [i9]Vincent Grari, Sylvain Lamprier, Marcin Detyniecki:
Adversarial Learning for Counterfactual Fairness. CoRR abs/2008.13122 (2020) - [i8]Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki:
Learning Unbiased Representations via Rényi Minimization. CoRR abs/2009.03183 (2020) - [i7]Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. CoRR abs/2011.12423 (2020)
2010 – 2019
- 2019
- [j11]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Contextual bandits with hidden contexts: a focused data capture from social media streams. Data Min. Knowl. Discov. 33(6): 1853-1893 (2019) - [c33]Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. EMNLP/IJCNLP (1) 2019: 3244-3254 - [c32]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Learning Dynamic Author Representations with Temporal Language Models. ICDM 2019: 120-129 - [c31]Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Fair Adversarial Gradient Tree Boosting. ICDM 2019: 1060-1065 - [c30]Sylvain Lamprier:
A Recurrent Neural Cascade-based Model for Continuous-Time Diffusion. ICML 2019: 3632-3641 - [c29]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Dynamic Neural Language Models. ICONIP (3) 2019: 282-294 - [i6]Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano:
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. CoRR abs/1909.01610 (2019) - [i5]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Learning Dynamic Author Representations with Temporal Language Models. CoRR abs/1909.04985 (2019) - [i4]Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Fairness-Aware Neural Réyni Minimization for Continuous Features. CoRR abs/1911.04929 (2019) - [i3]Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki:
Fair Adversarial Gradient Tree Boosting. CoRR abs/1911.05369 (2019) - 2018
- [j10]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Détection de sources de diffusion par apprentissage de représentations distribuées. Document Numérique 21(3): 11-31 (2018) - [j9]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Profile-Based Bandit with Unknown Profiles. J. Mach. Learn. Res. 19: 53:1-53:40 (2018) - [c28]Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer:
Apprentissage de l'évolution langagière dans des communautés d'auteurs. CORIA 2018 - [i2]Sylvain Lamprier:
A Variational Topological Neural Model for Cascade-based Diffusion in Networks. CoRR abs/1812.10962 (2018) - 2017
- [c27]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentation pour la détection de source dans les réseaux sociaux. CORIA 2017: 235-250 - [c26]Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari:
Variational Thompson Sampling for Relational Recurrent Bandits. ECML/PKDD (2) 2017: 405-421 - [e1]Jian-Yun Nie, Sylvain Lamprier:
COnférence en Recherche d'Informations et Applications - CORIA 2017, 14th French Information Retrieval Conference, Marseille, France, March 29-31, 2017. Proceedings. ARIA 2017, ISBN 978-2-9556434-0-2 [contents] - 2016
- [j8]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Collecte ciblée à partir de flux de données en ligne dans les médias sociaux. Une approche de bandit contextuel. Document Numérique 19(2-3): 11-30 (2016) - [j7]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentations pour la modélisation de processus de diffusion dans les réseaux sociaux. Document Numérique 19(2-3): 31-52 (2016) - [j6]Sylvain Lamprier, Simon Bourigault, Patrick Gallinari:
Influence learning for cascade diffusion models: focus on partial orders of infections. Soc. Netw. Anal. Min. 6(1): 93:1-93:16 (2016) - [c25]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Bandit contextuel pour la capture de données temps réel sur les médias sociaux. CORIA-CIFED 2016: 57-72 - [c24]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Apprentissage de représentations probabilistes pour la prédiction de diffusions d'informations sur les réseaux sociaux. CORIA-CIFED 2016: 89-104 - [c23]Nicolas Desprès, Sylvain Lamprier, Benjamin Piwowarski:
Apprentissage de modèles de langue neuronaux pour la recherche d'information. CORIA-CIFED 2016: 717-732 - [c22]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Dynamic Data Capture from Social Media Streams: A Contextual Bandit Approach. ICWSM 2016: 131-140 - [c21]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Learning Distributed Representations of Users for Source Detection in Online Social Networks. ECML/PKDD (2) 2016: 265-281 - [c20]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Linear Bandits in Unknown Environments. ECML/PKDD (2) 2016: 282-298 - [c19]Simon Bourigault, Sylvain Lamprier, Patrick Gallinari:
Representation Learning for Information Diffusion through Social Networks: an Embedded Cascade Model. WSDM 2016: 573-582 - 2015
- [j5]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. Document Numérique 18(2-3): 39-58 (2015) - [j4]Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom-Messan Hillah:
The CARE platform for the analysis of behavior model inference techniques. Inf. Softw. Technol. 60: 32-50 (2015) - [c18]Sylvain Lamprier, Simon Bourigault, Patrick Gallinari:
Extracting Diffusion Channels from Real-World Social Data: a Delay-Agnostic Learning of Transmission Probabilities. ASONAM 2015: 178-185 - [c17]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux. CORIA 2015: 7-22 - [c16]Thibault Gisselbrecht, Sylvain Lamprier, Patrick Gallinari:
Policies for Contextual Bandit Problems with Count Payoffs. ICTAI 2015: 542-549 - [c15]Thibault Gisselbrecht, Ludovic Denoyer, Patrick Gallinari, Sylvain Lamprier:
WhichStreams: A Dynamic Approach for Focused Data Capture from Large Social Media. ICWSM 2015: 130-139 - [i1]Benjamin Piwowarski, Sylvain Lamprier, Nicolas Desprès:
Parameterized Neural Network Language Models for Information Retrieval. CoRR abs/1510.01562 (2015) - 2014
- [c14]Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Apprentissage de représentation pour la diffusion d'Information dans les réseaux sociaux. CORIA-CIFED 2014: 155-170 - [c13]Sylvain Lamprier, Tewfik Ziadi, Nicolas Baskiotis, Lom-Messan Hillah:
Exact and Efficient Temporal Steering of Software Behavioral Model Inference. ICECCS 2014: 166-175 - [c12]Simon Bourigault, Cédric Lagnier, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Learning social network embeddings for predicting information diffusion. WSDM 2014: 393-402 - [c11]Cédric Lagnier, Simon Bourigault, Sylvain Lamprier, Ludovic Denoyer, Patrick Gallinari:
Learning Information Spread in Content Networks. ICLR (Workshop Poster) 2014 - 2013
- [c10]Sylvain Lamprier, Nicolas Baskiotis, Tewfik Ziadi, Lom-Messan Hillah:
CARE: A Platform for Reliable Comparison and Analysis of Reverse-Engineering Techniques. ICECCS 2013: 252-255 - 2010
- [j3]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
Organiser les résultats d'une recherche d'information. Clustering, répartition de l'information et facilité d'accès. Document Numérique 13(1): 9-39 (2010) - [c9]Sylvain Lamprier, Tassadit Amghar, Frédéric Saubion, Bernard Levrat:
Traveling among clusters: a way to reconsider the benefits of the cluster hypothesis. SAC 2010: 1774-1780 - [c8]Sylvain Lamprier, Tassadit Amghar, Frédéric Saubion, Bernard Levrat:
Query-oriented clustering: a multi-objective approach. SAC 2010: 1789-1795
2000 – 2009
- 2009
- [c7]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
Clustering en recherche d'information : concentration vs distribution de l'information pertinente. CORIA 2009: 115-130 - 2008
- [b1]Sylvain Lamprier:
Vers la conception de documents composites : extraction et organisation de l'information pertinente. (Toward composite documents conception : extraction and organisation of relevant information). University of Angers, France, 2008 - [j2]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
Toward a More Global and Coherent Segmentation of Texts. Appl. Artif. Intell. 22(3): 208-234 (2008) - [j1]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
Using an Evolving Thematic Clustering in a Text Segmentation Process. J. Univers. Comput. Sci. 14(2): 178-192 (2008) - [c6]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
Using Text Segmentation to Enhance the Cluster Hypothesis. AIMSA 2008: 69-82 - [c5]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
Thematic Segment Retrieval Revisited. AIMSA 2008: 157-166 - 2007
- [c4]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
Document Length Normalization by Statistical Regression. ICTAI (2) 2007: 11-18 - [c3]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
On Evaluation Methodologies for Text Segmentation Algorithms. ICTAI (2) 2007: 19-26 - [c2]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
SegGen: A Genetic Algorithm for Linear Text Segmentation. IJCAI 2007: 1647-1652 - [c1]Sylvain Lamprier, Tassadit Amghar, Bernard Levrat, Frédéric Saubion:
ClassStruggle: a clustering based text segmentation. SAC 2007: 600-604
Coauthor Index
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