Tal Linzen

5.6k citations
74 papers · 2.1k · 2 hit papers · h-index 22

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Text Readability and Simplification
    • Speech and dialogue systems
    • Explainable Artificial Intelligence (XAI)
    • Neurobiology of Language and Bilingualism

Papers in

Tal Linzen

69 papers receiving 2.0k citations

Tal Linzen's Hit Papers

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference 2019 · 484 citations
4840+3+6Years since publication100200300400

Peers

Tal Linzen
Comparison fields: 5 of 89
  • Artificial Intelligence 1.7k
  • Cognitive Neuroscience 452
  • Developmental and Educational Psychology 233
  • Computer Vision and Pattern Recognition 343
  • Experimental and Cognitive Psychology 202
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Countries citing papers authored by Tal Linzen

Since Specialization
Citations

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

Fields of papers citing papers by Tal Linzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
Hit paper breakdown →
2019484
2
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Hit paper breakdown →
2016392
3 2018161
4 202095
5 202078
6 201568
7 201868
8 202063
9 201945
10 201441
11 202137
12 201534
13 202129
14 202228
15 202327
16 201927
17 201927
18 201826
19 201926
20
Modeling garden path effects without explicit hierarchical syntax.
201824

About Tal Linzen

Tal Linzen is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology and Language and Linguistics, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (41 papers), Topic Modeling (41 papers), Neurobiology of Language and Bilingualism (20 papers), Text Readability and Simplification (19 papers), Speech and dialogue systems (13 papers), Reading and Literacy Development (8 papers), Phonetics and Phonology Research (7 papers) and Syntax, Semantics, Linguistic Variation (7 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Cognitive Neuroscience (452 citations), Developmental and Educational Psychology (233 citations), Computer Vision and Pattern Recognition (343 citations) and Experimental and Cognitive Psychology (202 citations). Tal Linzen has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Ellie Pavlick, Yoav Goldberg, Emmanuel Dupoux, Rebecca Marvin, Najoung Kim, R. Thomas McCoy, Alec Marantz, Marten van Schijndel, T. Florian Jaeger and Laura Gwilliams. Their work appears in journals such as Cognitive Science, Journal of Memory and Language, Transactions of the Association for Computational Linguistics, Language and Language Cognition and Neuroscience.

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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