Hugo Hernault
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Semantic Web and Ontologies
- Text and Document Classification Technologies
Papers in
-
- Natural Language Processing Techniques 6
- Topic Modeling 6
- Speech and dialogue systems 4
- Neural Networks and Reservoir Computing 1
- Text and Document Classification Technologies 1
- Neural Networks and Applications 1
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- Biomedical Text Mining and Ontologies 1
- Co-authors
- Mitsuru Ishizuka (6 shared papers)Helmut Prendinger (4 shared papers)David A. duVerle (1 shared paper)Danushka Bollegala (2 shared papers)Jérémie Cabessa (1 shared paper)Paul Piwek (1 shared paper)Marc Cavazza (1 shared paper)
- Journals
- Annual Meeting of the Special Interest Group on Discourse and Dialogue (1 paper)Empirical Methods in Natural Language Processing (1 paper)National Conference on Artificial Intelligence (1 paper)
- Partner nations
- JapanFranceUnited Kingdom
In The Last Decade
Hugo Hernault
7 papers receiving 156 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 165
- Language and Linguistics 9
- Computer Vision and Pattern Recognition 12
- Information Systems 11
- Experimental and Cognitive Psychology 6
Countries citing papers authored by Hugo Hernault
This map shows the geographic impact of Hugo Hernault's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hugo Hernault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugo Hernault more than expected).
Fields of papers citing papers by Hugo Hernault
This network shows the impact of papers produced by Hugo Hernault. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hugo Hernault. The network helps show where Hugo Hernault may publish in the future.
Co-authors
The 7 scholars most cited alongside Hugo Hernault, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 125 | |
| 2 | A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension | 2010 | 29 |
| 3 | 2009 | 7 | |
| 4 | 2021 | 5 | |
| 5 | Generating Questions: An Inclusive Characterization and a Dialogue-based Application | 2008 | 4 |
| 6 | Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations | 2010 | 3 |
| 7 | Evaluating HILDA in the CODA Project: A Case Study in Question Generation Using Automatic Discourse Analysis | 2011 | 1 |
About Hugo Hernault
Hugo Hernault is a scholar working on Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 174 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (6 papers), Speech and dialogue systems (4 papers), Biomedical Text Mining and Ontologies (1 paper), Neural Networks and Reservoir Computing (1 paper), Text and Document Classification Technologies (1 paper), Neural Networks and Applications (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Artificial Intelligence (165 citations), Language and Linguistics (9 citations), Computer Vision and Pattern Recognition (12 citations), Information Systems (11 citations) and Experimental and Cognitive Psychology (6 citations). Hugo Hernault has collaborated with scholars based in Japan, France and United Kingdom. Frequent co-authors include Mitsuru Ishizuka, Helmut Prendinger, David A. duVerle, Danushka Bollegala, Jérémie Cabessa, Paul Piwek and Marc Cavazza. Their work appears in journals such as Annual Meeting of the Special Interest Group on Discourse and Dialogue, Empirical Methods in Natural Language Processing and National Conference on Artificial Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.