← Authors

Eric Gaussier

31 papers · 2001–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (42) 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (24) 🧭 Keyword Pioneer πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (96) πŸ“ˆ Trend Setter πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (5)

Conferences

COLING (7) ACL (4) UAI (4) CONLL (3) EMNLP (3) JMLR (3) NIPS (3) AAAI (1) EACL (1) ICML (1) IJCAI (1)

Top co-authors

Emilie Devijver (5) Nicola Cancedda (4) Cyril Goutte (4) Jean-Michel Renders (3) Yagmur Gizem Cinar (3) Marianne Clausel (3) Massih R. Amini (3) Charles K. Assaad (3) ThΓ©o Trouillon (2) Minghan Li (2)

Keywords

time series (2) causal discovery (2) natural language processing (2) word embedding (2) representation learning (2) link prediction (2) generalization bound (2) complex embedding (2) concentration of measure (2) text classification (2) latent dirichlet allocation (2) relational learning (2) hierarchical classification (2) domain adaptation (1) variational inference (1) topic modeling (1) probabilistic modeling (1) extractive summarization (1) natural language generation (1) cluster analysis (1)

Papers

Complete Characterization for Adjustment in Summary Causal Graphs of Time Series UAI 2025
A Closer Look at Clustering Bilingual Comparable Corpora COLING 2024
Creating Clustered Comparable Corpora from Wikipedia with Different Fuzziness Levels and Language Representativity COLING 2024
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling COLING 2024
Identifiability of total effects from abstractions of time series causal graphs UAI 2024
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract) IJCAI 2023
Listwise Learning to Rank Based on Approximate Rank Indicators AAAI 2022
Discovery of extended summary graphs in time series UAI 2022
Globalizing BERT-based Transformer Architectures for Long Document Summarization EACL 2021
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation NIPS 2020
Smooth And Consistent Probabilistic Regression Trees NIPS 2020
Mixed-Membership Stochastic Block Models for Weighted Networks UAI 2020
Word Representations Concentrate and This is Good News! EMNLP 2020
Word Representations Concentrate and This is Good News! CONLL 2020
Topical Coherence in LDA-based Models through Induced Segmentation ACL 2017
Knowledge Graph Completion via Complex Tensor Factorization JMLR 2017
Complex Embeddings for Simple Link Prediction ICML 2016
Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge COLING 2016
Modeling topic dependencies in semantically coherent text spans with copulas COLING 2016
Learning Taxonomy Adaptation in Large-scale Classification JMLR 2016
On Flat versus Hierarchical Classification in Large-Scale Taxonomies NIPS 2013
Clustering Comparable Corpora For Bilingual Lexicon Extraction ACL 2011
Improving Corpus Comparability for Bilingual Lexicon Extraction from Comparable Corpora COLING 2010
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing EMNLP 2006
Translating with Non-contiguous Phrases EMNLP 2005
A Geometric View on Bilingual Lexicon Extraction from Comparable Corpora ACL 2004
Aligning words using matrix factorisation ACL 2004
Word-Sequence Kernels JMLR 2003
An Approach Based on Multilingual Thesauri and Model Combination for Bilingual Lexicon Extraction COLING 2002
Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition CONLL 2002
Probabilistic models for PP-attachment resolution and NP analysis CONLL 2001