Jason Naradowsky

881 citations
21 papers · 437 · h-index 10

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Speech Recognition and Synthesis
    • Text and Document Classification Technologies
    • Speech and dialogue systems
    • Computational and Text Analysis Methods

Papers in

Journals
Transactions of the Association for Computational Linguistics (1 paper)International Joint Conference on Artificial Intelligence (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Meeting of the Association for Computational Linguistics (2 papers)Conference of the Association for Machine Translation in the Americas (1 paper)

In The Last Decade

Jason Naradowsky

19 papers receiving 397 citations

Peers

Jason Naradowsky
Comparison fields: 5 of 51
  • Artificial Intelligence 389
  • General Social Sciences 28
  • Computational Mathematics 4
  • Signal Processing 34
  • Computer Vision and Pattern Recognition 60
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Citations per field
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Citations per year

Countries citing papers authored by Jason Naradowsky

Since Specialization
Citations

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

Fields of papers citing papers by Jason Naradowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009217
2 201629
3 201829
4 201827
5
Programming with a differentiable forth interpreter
201722
6
A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing
201121
7
Improving NLP through Marginalization of Hidden Syntactic Structure
201218
8
Improving morphology induction by learning spelling rules
200917
9
Unsupervised Bilingual Morpheme Segmentation and Alignment with Context-rich Hidden Semi-Markov Models
201116
10 202314
11 20167
12 20156
13 20233
14 20183
15 20212
16 20222
17
Grammarless Parsing for Joint Inference
20122
18 20241
19 20151
20
Machine Translation System Selection from Bandit Feedback
20200

About Jason Naradowsky

Jason Naradowsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Social Psychology and Information Systems, having authored 21 papers that have together received 437 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (12 papers), Speech Recognition and Synthesis (4 papers), Text Readability and Simplification (3 papers), Speech and Audio Processing (2 papers), Multimodal Machine Learning Applications (2 papers), Speech and dialogue systems (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Artificial Intelligence (389 citations), General Social Sciences (28 citations), Computational Mathematics (4 citations), Signal Processing (34 citations) and Computer Vision and Pattern Recognition (60 citations). Jason Naradowsky has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David A. Smith, Hanna Wallach, David Mimno, Andrew McCallum, Andreas Vlachos, Sebastian Riedel, James Goodman, Sharon Goldwater, Kristina Toutanova and Tim Rocktäschel. Their work appears in journals such as Transactions of the Association for Computational Linguistics, International Joint Conference on Artificial Intelligence, Findings of the Association for Computational Linguistics: ACL 2022, Meeting of the Association for Computational Linguistics and Conference of the Association for Machine Translation in the Americas.

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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