Eric Kow

587 citations
29 papers · 431 · h-index 12

Impact in

Papers in

    • Natural Language Processing Techniques 24
    • Topic Modeling 15
    • Speech and dialogue systems 12
    • Logic, programming, and type systems 4
    • Wikis in Education and Collaboration 4

Eric Kow

29 papers receiving 386 citations

Peers

Eric Kow
Comparison fields: 5 of 43
  • Artificial Intelligence 402
  • General Decision Sciences 4
  • Computer Vision and Pattern Recognition 46
  • Language and Linguistics 22
  • Information Systems 36
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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 16 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The First Surface Realisation Shared Task: Overview and Evaluation Results
201177
2 200974
3 201539
4 201028
5 200924
6
Which bridges for bridging definite descriptions
200321
7
Comparing rating scales and preference judgements in language evaluation
201021
8
Discrete vs. Continuous Rating Scales for Language Evaluation in NLP
201121
9
A Symbolic Approach to Near-Deterministic Surface Realisation using Tree Adjoining Grammar
200715
10
Generating and Selecting Grammatical Paraphrases
200514
11
The KBGen Challenge
201313
12
Extracting parallel fragments from comparable corpora for data-to-text generation
201012
13 201211
14 20099
15 20088
16 20098
17
User-Controlled, Robust Natural Language Generation from an Evolving Knowledge Base
20137
18 20086
19 20075
20 20104

About Eric Kow

Eric Kow is a scholar working on Artificial Intelligence, Communication, Information Systems, Software and Language and Linguistics, having authored 29 papers that have together received 431 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (15 papers), Speech and dialogue systems (12 papers), Software Engineering Research (4 papers), Logic, programming, and type systems (4 papers), Wikis in Education and Collaboration (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (402 citations), General Decision Sciences (4 citations), Computer Vision and Pattern Recognition (46 citations), Language and Linguistics (22 citations) and Information Systems (36 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, Jette Viethen, Michael White, Deirdre Hogan, Amanda J. Stent, Stergos Afantenos, Nicholas M. Asher and Vinay K. Chaudhri. Their work appears in journals such as Language Resources and Evaluation, Lecture notes in computer science, University of Brighton Repository (University of Brighton), OAR@UM (University of Malta) and Open Archive Toulouse Archive Ouverte (University of Toulouse).

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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