Aurélie Herbelot

869 citations
35 papers · 238 indexed · h-index 9
Topics
Topic Modeling (28 papers)Natural Language Processing Techniques (27 papers)Speech and dialogue systems (6 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in PsychologyMicrobial Ecology

In The Last Decade

Aurélie Herbelot

35 papers receiving 215 citations

Peers

Aurélie Herbelot
Comparison fields: 5 of 35
  • Artificial Intelligence 204
  • Computer Vision and Pattern Recognition 36
  • Cultural Studies 26
  • Language and Linguistics 19
  • Cognitive Neuroscience 17
Replace Dimitrios Alikaniotis with:
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Aurélie Herbelot relative to Dimitrios Alikaniotis United Kingdom Dimitrios Alikaniotis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aurélie Herbelot

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Herbelot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Herbelot

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Herbelot. A scholar is included among the top collaborators of Aurélie Herbelot 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 Aurélie Herbelot. Aurélie Herbelot 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
#WorkIndexed citations
1 1
2 1
3 3
4 1
5 4
6 7
7 5
8
Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking
3
9 4
10
Vision and Language Integration: Moving beyond Objects
3
11
Predictability of Distributional Semantics in Derivational Word Formation
9
12 28
13 2
14
Mr Darcy and Mr Toad, gentlemen: distributional names and their kinds
11
15
Measuring semantic content in distributional vectors
19
16
Distributional techniques for philosophical enquiry
5
17 3
18
Formalising and specifying underquantification
4
19
Annotating Underquantification
3
20 36

About Aurélie Herbelot

Aurélie Herbelot is a scholar working on Artificial Intelligence, Cultural Studies and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 238 indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Natural Language Processing Techniques (27 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Artificial Intelligence (204 citations), Cultural Studies (26 citations) and Language and Linguistics (19 citations). Aurélie Herbelot has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Gemma Boleda, Ann Copestake, Raffaella Bernardi, Sandro Pezzelle, Kristina Gulordava, Antske Fokkens, Sebastian Padó, Jan Šnajder, Mariella Dimiccoli and Angeliki Lazaridou. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Microbial Ecology.

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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