Djamé Seddah

3.1k total citations
40 papers, 327 citations indexed

About

Djamé Seddah is a scholar working on Artificial Intelligence, Philosophy and Information Systems. According to data from OpenAlex, Djamé Seddah has authored 40 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 3 papers in Philosophy and 2 papers in Information Systems. Recurrent topics in Djamé Seddah's work include Natural Language Processing Techniques (37 papers), Topic Modeling (28 papers) and Text Readability and Simplification (14 papers). Djamé Seddah is often cited by papers focused on Natural Language Processing Techniques (37 papers), Topic Modeling (28 papers) and Text Readability and Simplification (14 papers). Djamé Seddah collaborates with scholars based in France, United States and Ireland. Djamé Seddah's co-authors include Reut Tsarfaty, Sandra Kübler, Marie Candito, Benoît Sagot, Sandra Kuebler, Joakim Nivre, Gosse Bouma, Daniel Zeman, Antonios Anastasopoulos and Benjamin Müller and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and Journal of Logic and Computation.

In The Last Decade

Djamé Seddah

36 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Djamé Seddah France 11 313 33 16 16 11 40 327
Harald Trost Austria 9 222 0.7× 16 0.5× 15 0.9× 31 1.9× 21 1.9× 40 259
Martin Reynaert Netherlands 8 205 0.7× 51 1.5× 19 1.2× 34 2.1× 24 2.2× 24 255
Özlem Çetinoğlu Germany 11 383 1.2× 22 0.7× 12 0.8× 46 2.9× 19 1.7× 37 413
Kilian Evang Netherlands 11 311 1.0× 34 1.0× 14 0.9× 26 1.6× 21 1.9× 25 338
Atanas Chanev Sweden 2 496 1.6× 29 0.9× 30 1.9× 27 1.7× 46 4.2× 2 510
John A. Carroll United Kingdom 7 285 0.9× 14 0.4× 27 1.7× 25 1.6× 48 4.4× 10 328
Aurélie Herbelot Italy 9 204 0.7× 36 1.1× 11 0.7× 19 1.2× 7 0.6× 35 238
Joakim Nivre United States 3 426 1.4× 32 1.0× 30 1.9× 23 1.4× 27 2.5× 4 450
George Kiraz United Kingdom 8 234 0.7× 31 0.9× 16 1.0× 49 3.1× 16 1.5× 52 307
Mary S. Neff United States 9 222 0.7× 15 0.5× 10 0.6× 57 3.6× 38 3.5× 17 261

Countries citing papers authored by Djamé Seddah

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Antoun, Wissam, Benoît Sagot, & Djamé Seddah. (2023). Data-Efficient French Language Modeling with CamemBERTa. arXiv (Cornell University). 5174–5185. 3 indexed citations
2.
Seddah, Djamé, et al.. (2023). Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language. SPIRE - Sciences Po Institutional REpository. 266–278. 3 indexed citations
3.
Seddah, Djamé, et al.. (2023). Analyzing Zero-Shot transfer Scenarios across Spanish variants for Hate Speech Detection. SPIRE - Sciences Po Institutional REpository. 1–13. 1 indexed citations
4.
Müller, Benjamin, Antonios Anastasopoulos, Benoît Sagot, & Djamé Seddah. (2021). When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models. arXiv (Cornell University). 448–462. 27 indexed citations
5.
Sanguinetti, Manuela, Cristina Bosco, Özlem Çetinoğlu, et al.. (2020). Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies. Language Resources and Evaluation. 5240–5250. 9 indexed citations
6.
Scialom, Thomas, et al.. (2020). Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question\n Answering. arXiv (Cornell University). 16 indexed citations
7.
Bouma, Gosse, Djamé Seddah, & Daniel Zeman. (2020). Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies. 151–161. 16 indexed citations
8.
Seddah, Djamé, et al.. (2019). Phonetic Normalization for Machine Translation of User Generated Content. 407–416. 2 indexed citations
9.
Clergerie, Éric Villemonte de la, et al.. (2016). Accurate Deep Syntactic Parsing of Graphs: The Case of French.. Language Resources and Evaluation. 3563–3568. 1 indexed citations
10.
Seddah, Djamé, et al.. (2013). A word clustering approach to domain adaptation: Robust parsing of source and target domains. Journal of Logic and Computation. 24(2). 395–411. 2 indexed citations
11.
Seddah, Djamé, et al.. (2012). Ubiquitous Usage of a Broad Coverage French Corpus: Processing the Est Republicain corpus. Language Resources and Evaluation. 3249–3254. 2 indexed citations
12.
Seddah, Djamé, et al.. (2010). Lemmatization and Lexicalized Statistical Parsing of Morphologically-Rich Languages: the Case of French. Arrow@dit (Dublin Institute of Technology). 85–93. 11 indexed citations
13.
Seddah, Djamé, Sandra Kübler, & Reut Tsarfaty. (2010). Proceedings of the NAACL HLT 2010 First Workshop on Statistical Parsing of Morphologically-Rich Languages. HAL (Le Centre pour la Communication Scientifique Directe). 113. 14 indexed citations
14.
Seddah, Djamé, et al.. (2009). Cross parser evaluation : a French Treebanks study. 40(11 Suppl 5). 150–161. 6 indexed citations
15.
Seddah, Djamé. (2008). The use of MCTAG to process elliptic coordination. HAL (Le Centre pour la Communication Scientifique Directe). 81–88. 1 indexed citations
16.
Wagner, Joachim, Djamé Seddah, Jennifer Foster, & Josef van Genabith. (2007). C-Structures and F-Structures for the British National Corpus. Arrow@dit (Dublin Institute of Technology). 7 indexed citations
17.
Foster, Jennifer, Joachim Wagner, Djamé Seddah, & Josef van Genabith. (2007). Adapting WSJ-trained parsers to the British National Corpus using in-domain self-training. 33–35. 10 indexed citations
18.
Seddah, Djamé & Benoît Sagot. (2006). Modeling and Analysis of Elliptic Coordination by Dynamic Exploitation of Derivation Forests in LTAG Parsing. HAL (Le Centre pour la Communication Scientifique Directe). 147–152. 2 indexed citations
19.
Seddah, Djamé & Benoît Sagot. (2006). Modélisation et analyse des coordinations elliptiques par l'exploitation dynamique des forêts de dérivation. HAL (Le Centre pour la Communication Scientifique Directe). 609–618. 4 indexed citations
20.
Seddah, Djamé, et al.. (2002). Conceptualization of lexical information, system.. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

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.

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