Jason Naradowsky

881 total citations
21 papers, 437 citations indexed

About

Jason Naradowsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jason Naradowsky has authored 21 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Jason Naradowsky's work include Topic Modeling (16 papers), Natural Language Processing Techniques (12 papers) and Speech Recognition and Synthesis (4 papers). Jason Naradowsky is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (12 papers) and Speech Recognition and Synthesis (4 papers). Jason Naradowsky collaborates with scholars based in United States, United Kingdom and France. Jason Naradowsky's co-authors include David A. Smith, Hanna Wallach, Andrew McCallum, David Mimno, Sebastian Riedel, Andreas Vlachos, James Goodman, Sharon Goldwater, Kristina Toutanova and Tim Rocktäschel and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Meeting of the Association for Computational Linguistics and International Joint Conference on Artificial Intelligence.

In The Last Decade

Jason Naradowsky

19 papers receiving 397 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jason Naradowsky United States 10 389 60 47 34 28 21 437
Joseph Reisinger United States 10 499 1.3× 43 0.7× 53 1.1× 12 0.4× 10 0.4× 14 532
Luís Marujo Portugal 10 502 1.3× 77 1.3× 62 1.3× 21 0.6× 4 0.1× 15 536
Vlad Niculae Romania 9 292 0.8× 72 1.2× 39 0.8× 13 0.4× 12 0.4× 28 348
Vered Shwartz United States 15 694 1.8× 141 2.4× 40 0.9× 11 0.3× 9 0.3× 43 738
Itziar Aldabe Spain 8 296 0.8× 22 0.4× 65 1.4× 14 0.4× 6 0.2× 30 329
Arian Pasquali Portugal 2 296 0.8× 32 0.5× 90 1.9× 23 0.7× 9 0.3× 3 347
Avirup Sil United States 12 525 1.3× 52 0.9× 88 1.9× 16 0.5× 6 0.2× 32 557
Shijie Wu United States 9 552 1.4× 145 2.4× 30 0.6× 11 0.3× 7 0.3× 12 577
Petya Osenova Bulgaria 11 414 1.1× 24 0.4× 56 1.2× 16 0.5× 4 0.1× 71 479
Marina Litvak Israel 11 418 1.1× 32 0.5× 97 2.1× 14 0.4× 8 0.3× 52 493

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-authorship network of co-authors of Jason Naradowsky

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Naradowsky. A scholar is included among the top collaborators of Jason Naradowsky 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 Jason Naradowsky. Jason Naradowsky 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
1.
Zhang, Qiang, Jason Naradowsky, & Yusuke Miyao. (2024). Self-Emotion Blended Dialogue Generation in Social Simulation Agents. 228–247. 1 indexed citations
2.
Miyao, Yusuke, et al.. (2024). Textless Dependency Parsing by Labeled Sequence Prediction. 1340–1344.
4.
Naradowsky, Jason, et al.. (2023). Fiction-Writing Mode: An Effective Control for Human-Machine Collaborative Writing. 3 indexed citations
5.
Naradowsky, Jason, et al.. (2022). Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem. Findings of the Association for Computational Linguistics: ACL 2022. 3888–3905. 2 indexed citations
6.
Naradowsky, Jason. (2021). Amp-Space: A Large-Scale Dataset for Fine-Grained Timbre Transformation. 57–64. 2 indexed citations
7.
Naradowsky, Jason, Xuan Zhang, & Kevin Duh. (2020). Machine Translation System Selection from Bandit Feedback. Conference of the Association for Machine Translation in the Americas. 50–63.
8.
Naradowsky, Jason, et al.. (2018). A Structured Variational Autoencoder for Contextual Morphological Inflection. 2631–2641. 3 indexed citations
9.
Gerz, Daniela, Ivan Vulić, Edoardo Maria Ponti, et al.. (2018). Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction. Transactions of the Association for Computational Linguistics. 6. 451–465. 27 indexed citations
10.
Kanda, Naoyuki, Rintaro Ikeshita, Shota Horiguchi, et al.. (2018). The Hitachi/JHU CHiME-5 system: Advances in speech recognition for everyday home environments using multiple microphone arrays. 6–10. 29 indexed citations
11.
Bošnjak, Matko, Tim Rocktäschel, Jason Naradowsky, & Sebastian Riedel. (2017). Programming with a differentiable forth interpreter. UCL Discovery (University College London). 547–556. 22 indexed citations
12.
Goodman, James, Andreas Vlachos, & Jason Naradowsky. (2016). Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing. 1–11. 29 indexed citations
13.
Singh, Sameer, Tim Rocktäschel, Luke Hewitt, Jason Naradowsky, & Sebastian Riedel. (2015). WOLFE: An NLP-friendly Declarative Machine Learning Stack. 61–65. 1 indexed citations
14.
Bouchard, Guillaume, Jason Naradowsky, Sebastian Riedel, Tim Rocktäschel, & Andreas Vlachos. (2015). Matrix and Tensor Factorization Methods for Natural Language Processing. 16–18. 6 indexed citations
15.
Naradowsky, Jason, Sebastian Riedel, & David A. Smith. (2012). Improving NLP through Marginalization of Hidden Syntactic Structure. UCL Discovery (University College London). 810–820. 18 indexed citations
16.
Naradowsky, Jason, Tim Vieira, & David A. Smith. (2012). Grammarless Parsing for Joint Inference. 1995–2010. 2 indexed citations
17.
Naradowsky, Jason & Kristina Toutanova. (2011). Unsupervised Bilingual Morpheme Segmentation and Alignment with Context-rich Hidden Semi-Markov Models. Meeting of the Association for Computational Linguistics. 895–904. 16 indexed citations
18.
Lee, John, Jason Naradowsky, & David A. Smith. (2011). A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing. Meeting of the Association for Computational Linguistics. 885–894. 21 indexed citations
19.
Naradowsky, Jason & Sharon Goldwater. (2009). Improving morphology induction by learning spelling rules. International Joint Conference on Artificial Intelligence. 1531–1536. 17 indexed citations
20.
Mimno, David, Hanna Wallach, Jason Naradowsky, David A. Smith, & Andrew McCallum. (2009). Polylingual topic models. 2. 880–880. 217 indexed citations

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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