A survey of named entity recognition and classification D Nadeau, S Sekine Lingvisticae Investigationes 30 (1), 3-26, 2007 | 3928 | 2007 |
Unsupervised named-entity recognition: Generating gazetteers and resolving ambiguity D Nadeau, PD Turney, S Matwin Advances in Artificial Intelligence: 19th Conference of the Canadian Society …, 2006 | 340 | 2006 |
Semi-supervised named entity recognition: learning to recognize 100 entity types with little supervision D Nadeau University of Ottawa (Canada), 2007 | 140 | 2007 |
A supervised learning approach to acronym identification D Nadeau, PD Turney Advances in Artificial Intelligence: 18th Conference of the Canadian Society …, 2005 | 137 | 2005 |
Automatic dream sentiment analysis D Nadeau, C Sabourin, J De Koninck, S Matwin, PD Turney Proceedings of the Workshop on Computational Aesthetics at the Twenty-First …, 2006 | 47 | 2006 |
Uses, improvements, and extensions of Prolog+ CG: Case studies A Kabbaj, B Moulin, J Gancef, D Nadeau, O Rouleau Conceptual Structures: Broadening the Base: 9th International Conference on …, 2001 | 33 | 2001 |
Balie—baseline information extraction: Multilingual information extraction from text with machine learning and natural language techniques D Nadeau School Infornatics and Technological Eengineering University: Ottawa, ON, Canada, 2005 | 26 | 2005 |
A text processing tool for the romanian language O Frunza, D Inkpen, D Nadeau Proc. of the EuroLAN 2005 Workshop on Cross-Language Knowledge Induction, 2, 2005 | 16 | 2005 |
Semi-supervised named entity recognition D Nadeau A PhD Thesis Submitted to Ottawa-Carleton Institute for Computer Science …, 2007 | 13 | 2007 |
Real-time identification of parallel texts from bilingual newsfeed D Nadeau, G Foster Computational Linguistic in the North-East (CLiNE 2004), 21-28, 2004 | 12 | 2004 |
Classification of emotional tone of dreams using machine learning and text analyses A Razavi, R Amini, C Sabourin, SY Shirabad, D Nadeau, J De Koninck, ... Sleep 31, A380-A381, 2008 | 6 | 2008 |
Balie—baseline information extraction D Nadeau School of lnformation Technology & Engineering, University of Ottawa, Ottawa …, 2005 | 6 | 2005 |
Evaluation and time course representation of the emotional tone of dreams using machine learning and automatic text analyses A Razavi, R Amini, C Sabourin, S Shirabad, D Nadeau, S Matwin, ... Journal of Sleep Research 17, 92-92, 2008 | 5 | 2008 |
Using COTS search engines and custom query strategies at CLEF D Nadeau, M Jarmasz, C Barrière, G Foster, C St-Jacques Multilingual Information Access for Text, Speech and Images: 5th Workshop of …, 2005 | 5 | 2005 |
Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations D Nadeau, M Kroutikov, K McNeil, S Baribeau https://arxiv.org/abs/2404.09785, 2024 | 4 | 2024 |
Bike: Bilingual Keyphrase Experiments D Nadeau, C Barrière, G Foster RANLP Workshop on Modern Approaches in Translation Technologies, 2005 | 2 | 2005 |
Création de surcouche de documents hypertextes et traitement du langage naturel D Nadeau | 2 | 2005 |
Amélioration de résumés automatiques produits par extraction de phrases: étude de cas avec Extractor D Nadeau National Library of Canada= Bibliothèque nationale du Canada, Ottawa, 2003 | 2 | 2003 |
Evaluation d’un système pour le résumé automatique de documents électroniques D Nadeau, N Tourigny Advances in Artificial Intelligence: 14th Biennial Conference of the …, 2001 | 2 | 2001 |
Using COTS Search Engines and Custom Query Construction at CLEF D Nadeau, M Jarmasz, C Barrière, G Foster, C St-Jacques Cross-Language Evaluation Forum Conference 2004 (clef), 2004 | 1 | 2004 |