Djamé Seddah
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Language and Linguistics
- Information Systems
- Co-authors
- Reut TsarfatySandra KüblerMarie CanditoBenoît SagotSandra KueblerJoakim NivreGosse BoumaDaniel Zeman
- Topics
- Natural Language Processing Techniques (37 papers)Topic Modeling (28 papers)Text Readability and Simplification (14 papers)
- Partner nations
- FranceUnited StatesIreland
In The Last Decade
Djamé Seddah
36 papers receiving 292 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 313
- Computer Vision and Pattern Recognition 33
- Molecular Biology 16
- Language and Linguistics 16
- Information Systems 11
Countries citing papers authored by Djamé Seddah
This map shows the geographic impact of Djamé Seddah'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 Djamé Seddah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Djamé Seddah more than expected).
Fields of papers citing papers by Djamé Seddah
This network shows the impact of papers produced by Djamé Seddah. 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 Djamé Seddah. The network helps show where Djamé Seddah may publish in the future.
Co-authorship network of co-authors of Djamé Seddah
This figure shows the co-authorship network connecting the top 25 collaborators of Djamé Seddah. A scholar is included among the top collaborators of Djamé Seddah 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 Djamé Seddah. Djamé Seddah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 27 | |
| 6 | 16 | |
| 7 | Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies | 9 |
| 8 | 16 | |
| 9 | 2 | |
| 10 | Accurate Deep Syntactic Parsing of Graphs: The Case of French. | 1 |
| 11 | Ubiquitous Usage of a Broad Coverage French Corpus: Processing the Est Republicain corpus | 2 |
| 12 | Le corpus Sequoia : annotation syntaxique et exploitation pour l'adaptation d'analyseur par pont lexical (The Sequoia Corpus : Syntactic Annotation and Use for a Parser Lexical Domain Adaptation Method) [in French] | 3 |
| 13 | Lemmatization and Lexicalized Statistical Parsing of Morphologically-Rich Languages: the Case of French | 11 |
| 14 | Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages | 14 |
| 15 | Parsing Word Clusters | 16 |
| 16 | Control Verb, Argument Cluster Coordination and Multi Component TAG | 0 |
| 17 | 6 | |
| 18 | The use of MCTAG to process elliptic coordination | 1 |
| 19 | C-Structures and F-Structures for the British National Corpus | 7 |
| 20 | Conceptualization of lexical information, system. | 2 |
About Djamé Seddah
Djamé Seddah is a scholar working on Artificial Intelligence, Software and Linguistics and Language, having authored 40 papers that have together received 327 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (37 papers), Topic Modeling (28 papers) and Text Readability and Simplification (14 papers). The work is most often cited by research in Artificial Intelligence (313 citations), Computer Vision and Pattern Recognition (33 citations) and Language and Linguistics (16 citations). Djamé Seddah has collaborated with scholars based in France, United States and Ireland. Frequent co-authors include Reut Tsarfaty, Sandra Kübler, Marie Candito, Benoît Sagot, Sandra Kuebler, Joakim Nivre, Gosse Bouma, Daniel Zeman, Josef van Genabith and Antonios Anastasopoulos. Their work appears in journals such as Computational Linguistics, Language Resources and Evaluation and Journal of Logic and Computation.
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.