Dan Garrette

4.5k citations
24 papers · 587 · h-index 12

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • Text Readability and Simplification
    • Speech Recognition and Synthesis
    • Semantic Web and Ontologies
    • Advanced Text Analysis Techniques
    • Multimodal Machine Learning Applications

Papers in

    • Natural Language Processing Techniques 22
    • Topic Modeling 17
    • Speech and dialogue systems 4
    • Bayesian Modeling and Causal Inference 3
    • Algorithms and Data Compression 3
    • Multimodal Machine Learning Applications 7
    • Handwritten Text Recognition Techniques 2

Dan Garrette

22 papers receiving 538 citations

Peers

Dan Garrette
Comparison fields: 5 of 46
  • Artificial Intelligence 533
  • Computer Vision and Pattern Recognition 137
  • Information Systems 44
  • Cultural Studies 15
  • Language and Linguistics 17
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Citations per year

Countries citing papers authored by Dan Garrette

Since Specialization
Citations

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

Fields of papers citing papers by Dan Garrette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Garrette, 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 Dan Garrette Line = papers co-authored together Dan Garrette links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020200
2 202263
3
Learning a Part-of-Speech Tagger from Two Hours of Annotation
201352
4
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
201346
5
Integrating logical representations with probabilistic information using Markov logic
201136
6 202129
7
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
201328
8 202318
9
Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries
201217
10 201815
11 201315
12 200912
13 201610
14 201510
15 20238
16
Proceedings of the Eighth International Conference on Computational Semantics
20096
17 20176
18 20235
19 20154
20 20143

About Dan Garrette

Dan Garrette is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Literature and Literary Theory, Information Systems and Computational Theory and Mathematics, having authored 24 papers that have together received 587 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Topic Modeling (17 papers), Multimodal Machine Learning Applications (7 papers), Speech and dialogue systems (4 papers), Bayesian Modeling and Causal Inference (3 papers), Algorithms and Data Compression (3 papers), Handwritten Text Recognition Techniques (2 papers) and Second Language Learning and Teaching (1 paper). The work is most often cited by research in Artificial Intelligence (533 citations), Computer Vision and Pattern Recognition (137 citations), Information Systems (44 citations), Cultural Studies (15 citations) and Language and Linguistics (17 citations). Dan Garrette has collaborated with scholars based in United States, Netherlands and Vietnam. Frequent co-authors include Jason Baldridge, Jonathan H. Clark, Tom Kwiatkowski, Michael Collins, Vitaly Nikolaev, Jennimaria Palomaki, Eunsol Choi, Raymond J. Mooney, Katrin Erk and John Wieting. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computational Linguistics, Text, speech and language technology, Joint Conference on Lexical and Computational Semantics and Empirical Methods in Natural Language Processing.

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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