Hugo Hernault
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Molecular Biology
- Language and Linguistics
- Co-authors
- Mitsuru IshizukaHelmut PrendingerDavid A. duVerleDanushka BollegalaPaul PiwekMarc Cavazza
- Topics
- Natural Language Processing Techniques (6 papers)Topic Modeling (6 papers)Speech and dialogue systems (4 papers)
- Journals
- Empirical Methods in Natural Language ProcessingAnnual Meeting of the Special Interest Group on Discourse and DialogueNational Conference on Artificial Intelligence
In The Last Decade
Hugo Hernault
7 papers receiving 156 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 167
- Computer Vision and Pattern Recognition 12
- Information Systems 11
- Molecular Biology 9
- Language and Linguistics 9
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-authorship network of co-authors of Hugo Hernault
This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Hernault. A scholar is included among the top collaborators of Hugo Hernault based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hugo Hernault. Hugo Hernault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Evaluating HILDA in the CODA Project: A Case Study in Question Generation Using Automatic Discourse Analysis | 1 |
| 3 | A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension | 29 |
| 4 | Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations | 3 |
| 5 | 125 | |
| 6 | 7 | |
| 7 | Generating Questions: An Inclusive Characterization and a Dialogue-based Application | 4 |
About Hugo Hernault
Hugo Hernault is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology, 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) and Speech and dialogue systems (4 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Language and Linguistics (9 citations) and Computer Vision and Pattern Recognition (12 citations). Hugo Hernault has collaborated with scholars based in Japan, France and Czechia. Frequent co-authors include Mitsuru Ishizuka, Helmut Prendinger, David A. duVerle, Danushka Bollegala, Paul Piwek and Marc Cavazza. Their work appears in journals such as Empirical Methods in Natural Language Processing, Annual Meeting of the Special Interest Group on Discourse and Dialogue 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.