Elamur Research⌕
☰
home / authors / Sumeet Agarwal

Sumeet Agarwal

Sumeet Agarwal has 2 papers in our library, in 2021, most of them on Psycholinguistics & language acquisition, English; often with Hritik Bansal, Rajakrishnan Rajkumar.

2 papers in our library · 2021

OpenAlex · ORCID · Wikidata · h-index 15 · 74 works · 1,052 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 11 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5807

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Indian Institute of Technology DelhiNew Delhi · India2005–2025 · 54 paperscurrent🎓University of OxfordOxford · United Kingdom2007–2013 · 6 papers🔬IBM Research - IndiaNew Delhi · India2007–2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksLanguage and Linguistics · 2 worksNeuroscience · 1 workPsychology · 1 workCognitive Neuroscience · 1 workDevelopmental and Educational Psychology · 1 workExperimental and Cognitive Psychology · 1 workArtificial Intelligence · 1 workComputer Science · 1 work

🧭 Topics 2Research subjects and languages the work is about.English · 1 workPsycholinguistics & language acquisition · 1 work

 Works by year

2020s

20212 papersSumeet Agarwal's papers of 2021

 Papers

The most cited first (OpenAlex and our library).

  1. Effects of Duration, Locality, and Surprisal in Speech Disfluency Prediction in English Spontaneous Speech (2021 · 14 citations)
    The paper asks whether two theories of comprehension difficulty, Surprisal Theory and Dependency Locality Theory (DLT), can also predict where speakers become disfluent.
  2. Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? (2021 · 1 citation)
    The authors test whether recurrent networks actually acquire syntactic structure when they learn subject–verb number agreement in English.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Effects of Duration, Locality, and Surprisal in Speech Disfluency Prediction in English Spontaneous SpeechSociety for Computation in Linguistics (SCiL)Samvit Dammalapati, Rajakrishnan Rajkumar, Sidharth Ranjan, et al.2021 · 14 citations
  2. Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English SpeechProceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop · original ↗ · no summary yetSamvit Dammalapati, Rajakrishnan Rajkumar, Sumeet Agarwal2019 · 5 citations
  3. Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?Society for Computation in Linguistics (SCiL)Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal2021 · 1 citation

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 11 times (of the 141,840 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sumeet-agarwal/