Eric Kow

562 citations
25 papers · 318 · h-index 10

Impact in

Papers in

    • Natural Language Processing Techniques 22
    • Topic Modeling 14
    • Speech and dialogue systems 9
    • Logic, programming, and type systems 4
    • Semantic Web and Ontologies 2
    • Wikis in Education and Collaboration 4

Eric Kow

25 papers receiving 279 citations

Peers

Eric Kow
Comparison fields: 5 of 42
  • Artificial Intelligence 300
  • Computer Vision and Pattern Recognition 35
  • General Decision Sciences 3
  • Software 6
  • Health Informatics 2
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Citations per field
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Citations per year

Countries citing papers authored by Eric Kow

Since Specialization
Citations

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

Fields of papers citing papers by Eric Kow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Eric Kow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Kow Line = papers co-authored together Eric Kow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200968
2
The First Surface Realisation Shared Task: Overview and Evaluation Results
201158
3 201532
4
Which bridges for bridging definite descriptions
200319
5 200919
6
Comparing rating scales and preference judgements in language evaluation
201018
7
Discrete vs. Continuous Rating Scales for Language Evaluation in NLP
201116
8
Generating and Selecting Grammatical Paraphrases
200513
9 201310
10
Extracting parallel fragments from comparable corpora for data-to-text generation
201010
11 20098
12
A Symbolic Approach to Near-Deterministic Surface Realisation using Tree Adjoining Grammar
20077
13
LG-Eval: A Toolkit for Creating Online Language Evaluation Experiments
20126
14 20096
15
User-Controlled, Robust Natural Language Generation from an Evolving Knowledge Base
20135
16 20085
17 20084
18 20073
19 20063
20
Generating and Navigating Large Euler Diagrams.
20142

About Eric Kow

Eric Kow is a scholar working on Artificial Intelligence, Communication, Information Systems, Molecular Biology and Computational Theory and Mathematics, having authored 25 papers that have together received 318 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Topic Modeling (14 papers), Speech and dialogue systems (9 papers), Logic, programming, and type systems (4 papers), Wikis in Education and Collaboration (4 papers), Software Engineering Research (3 papers), Semantic Web and Ontologies (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (300 citations), Computer Vision and Pattern Recognition (35 citations), General Decision Sciences (3 citations), Software (6 citations) and Health Informatics (2 citations). Eric Kow has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Anja Belz, Albert Gatt, Claire Gardent, Deirdre Hogan, Michael White, Amanda Stent, Stergos Afantenos, Nicholas Asher, Jette Viethen and Vinay K. Chaudhri. Their work appears in journals such as Language Resources and Evaluation, Hormones and Behavior, HAL (Le Centre pour la Communication Scientifique Directe) and University of Brighton Repository (University of Brighton).

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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