Eric Gaussier
32 papers · 2001–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (24) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Conference Polyglot
(11)
π
Academic Marathon
(24)
π§
Keyword Pioneer
π
Keyword Champion
ποΈ
Keyword Collector
(96)
π
Trend Setter
π
Century Club
(31)
π₯
Unstoppable
(6)
β‘
Prolific Year
(5)
Conferences
COLING (7)
ACL (5)
UAI (4)
CONLL (3)
EMNLP (3)
JMLR (3)
NIPS (3)
AAAI (1)
EACL (1)
ICML (1)
IJCAI (1)
Top co-authors
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
Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian Languages
ACL 2026
Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
UAI 2025
A Closer Look at Clustering Bilingual Comparable Corpora
COLING 2024
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
COLING 2024
Creating Clustered Comparable Corpora from Wikipedia with Different Fuzziness Levels and Language Representativity
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
Word Representations Concentrate and This is Good News!
EMNLP 2020
Word Representations Concentrate and This is Good News!
CONLL 2020
Mixed-Membership Stochastic Block Models for Weighted Networks
UAI 2020
Knowledge Graph Completion via Complex Tensor Factorization
JMLR 2017
Topical Coherence in LDA-based Models through Induced Segmentation
ACL 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