Frédéric Béchet

1.5k total citations
58 papers, 533 citations indexed

About

Frédéric Béchet is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Frédéric Béchet has authored 58 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Frédéric Béchet's work include Natural Language Processing Techniques (40 papers), Topic Modeling (35 papers) and Speech and dialogue systems (27 papers). Frédéric Béchet is often cited by papers focused on Natural Language Processing Techniques (40 papers), Topic Modeling (35 papers) and Speech and dialogue systems (27 papers). Frédéric Béchet collaborates with scholars based in France, United States and Canada. Frédéric Béchet's co-authors include Patrice Bellot, Giuseppe Riccardi, Renato De Mori, Alexis Nasr, Dilek Hakkani-Tür, Gökhan Tür, Benoît Favre, Géraldine Damnati, Christian Raymond and Allen L. Gorin and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and Computer Speech & Language.

In The Last Decade

Frédéric Béchet

52 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frédéric Béchet France	12	510	58	47	33	17	58	533
Fumiyo Fukumoto Japan	10	331 0.6×	113 1.9×	29 0.6×	42 1.3×	35 2.1×	62	393
Younes Samih Germany	15	384 0.8×	44 0.8×	39 0.8×	35 1.1×	6 0.4×	34	407
Luís Marujo Portugal	10	502 1.0×	62 1.1×	21 0.4×	77 2.3×	6 0.4×	15	536
Tsuneaki Kato Japan	12	421 0.8×	80 1.4×	25 0.5×	48 1.5×	11 0.6×	42	476
Sameer Maskey United States	11	418 0.8×	16 0.3×	62 1.3×	50 1.5×	19 1.1×	27	462
Patrick Schone United States	11	531 1.0×	57 1.0×	60 1.3×	36 1.1×	17 1.0×	21	573
Naoki Yoshinaga Japan	14	348 0.7×	55 0.9×	11 0.2×	73 2.2×	13 0.8×	54	407
Patrick Paroubek France	11	333 0.7×	54 0.9×	16 0.3×	9 0.3×	23 1.4×	60	381
Evelyne Tzoukermann United States	13	456 0.9×	75 1.3×	44 0.9×	32 1.0×	20 1.2×	40	507
Zhendong Dong China	4	291 0.6×	53 0.9×	14 0.3×	22 0.7×	19 1.1×	4	325

Countries citing papers authored by Frédéric Béchet

Since Specialization

Citations

This map shows the geographic impact of Frédéric Béchet'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 Frédéric Béchet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Béchet more than expected).

Fields of papers citing papers by Frédéric Béchet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frédéric Béchet. 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 Frédéric Béchet. The network helps show where Frédéric Béchet may publish in the future.

Co-authorship network of co-authors of Frédéric Béchet

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Béchet. A scholar is included among the top collaborators of Frédéric Béchet 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 Frédéric Béchet. Frédéric Béchet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Béchet, Frédéric, et al.. (2024). A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks. SPIRE - Sciences Po Institutional REpository. 18376–18392.

Danieli, Morena, et al.. (2016). Summarizing Behaviours: An Experiment on the Annotation of Call-Centre Conversations. Language Resources and Evaluation. 4430–4433. 1 indexed citations

Bellot, Patrice, et al.. (2015). Sentiment Lexicon-Based Features for Sentiment Analysis in Short Text. Research in Computing Science. 90(1). 217–226. 12 indexed citations

Charlet, Delphine, MinYoung Kim, Benoît Favre, et al.. (2015). PERCOLATTE : A Multimodal Person Discovery System in TV Broadcast for the Medieval 2015 Evaluation Campaign.. MediaEval. 1 indexed citations

Bellot, Patrice, et al.. (2014). The Impact of Z_score on Twitter Sentiment Analysis. 636–641. 7 indexed citations

Bellot, Patrice, et al.. (2014). Supervised Methods for Aspect-Based Sentiment Analysis. 596–600. 7 indexed citations

Ellouze, Mariem, et al.. (2014). De l'arabe standard vers l'arabe dialectal : projection de corpus et ressources linguistiques en vue du traitement automatique de l'oral dans les médias tunisiens. HAL (Le Centre pour la Communication Scientifique Directe). 55. 73–96. 7 indexed citations

Béchet, Frédéric, et al.. (2013). Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging. Joint Conference on Lexical and Computational Semantics. 455–459. 32 indexed citations

Béchet, Frédéric, et al.. (2012). DECODA: a call-centre human-human spoken conversation corpus. Language Resources and Evaluation. 1343–1347. 28 indexed citations

10.

Béchet, Frédéric, et al.. (2011). Coopération de méthodes statistiques et symboliques pour l'adaptation non-supervisée d'un système d'étiquetage en entités nommées. HAL (Le Centre pour la Communication Scientifique Directe).

11.

Damnati, Géraldine, et al.. (2010). Online SLU model adaptation with a partial oracle. 2862–2865. 1 indexed citations

12.

Meurs, Marie‐Jean, et al.. (2008). Semantic composition process in a speech understanding system. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 5029–5032. 1 indexed citations

13.

Meurs, Marie‐Jean, et al.. (2008). Annotation en Frames Sémantiques du corpus de dialogue MEDIA.. 199–208. 1 indexed citations

14.

Raymond, Christian, Frédéric Béchet, Renato De Mori, & Géraldine Damnati. (2004). On the Use of Confidence for Statistical Decision in Dialogue Strategies. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 102–107. 4 indexed citations

15.

Devillers, Laurence, Sophie Rosset, Patrick Paroubek, et al.. (2004). The French MEDIA/EVALDA Project: the Evaluation of the Understanding Capability of Spoken Language Dialogue Systems.. Language Resources and Evaluation. 21 indexed citations

16.

Béchet, Frédéric, Giuseppe Riccardi, & Dilek Hakkani‐Tür. (2004). Mining Spoken Dialogue Corpora for System Evaluation and Modelin.. Empirical Methods in Natural Language Processing. 134–141. 12 indexed citations

17.

Nasr, Alexis, et al.. (2004). Tagging with hidden Markov models using ambiguous tags. 569–es. 1 indexed citations

18.

Béchet, Frédéric, et al.. (2000). Tagging unknown proper names using decision trees. 77–84. 33 indexed citations

19.

Mareüil, Philippe Boula de, François Yvon, Christophe d’Alessandro, et al.. (1998). Evaluation of grapheme-to phoneme conversion for text-to-speech synthesis in French. Language Resources and Evaluation. 641–646. 5 indexed citations

20.

Béchet, Frédéric & Marc El-Bèze. (1997). Automatic assignment of part-of-speech to out-of-vocabulary words for text-to-speech processing. 983–986. 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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