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Samira Shaikh

Samira Shaikh has 2 papers in our library, in 2018–2022, most of them on Speech act theory, Sentiment & emotion, Dialogue systems; often with Khyati Mahajan, Malak Abdullah.

2 papers in our library · 2018–2022

OpenAlex · ORCID · Wikidata · h-index 20 · 94 works · 1,266 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 227 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7339

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

🎓University of North Carolina at CharlotteCharlotte · United States2017–2024 · 59 paperscurrent🎓University at Albany, State University of New YorkAlbany · United States2009–2016 · 21 papers🎓State University of New YorkAlbany · United States2010–2016 · 10 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksPsychology · 1 workArtificial Intelligence · 2 worksExperimental and Cognitive Psychology · 1 workSocial Psychology · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 5Research subjects and languages the work is about.English · 1 workSemitic languages · 1 workSentiment & emotion · 1 workDialogue systems · 1 workSpeech act theory · 1 work

 Works by year

2020s

20221 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning (2018 · 68 citations)
    The paper describes TeamUNCC's entry to SemEval-2018 Task 1 (Affect in Tweets). The task asks systems to estimate emotion and sentiment intensity in tweets in five forms: EI-reg, EI-oc, V-reg, V-oc and E-c. The team took part in every subtask for both English and Arabic, and they report being the only team to do so.…
  2. Improving Dialogue Act Recognition with Augmented Data (2022 · 2 citations)
    The authors build dialogue act recognition (DAR) models for an industrial virtual assistant. They find that a BERT-based classifier fine-tuned on the Schema-Guided Dialogue (SGD) corpus scores very well on SGD but fails on in-house conversations. AFFIRM falls to 0.39 F1 and NEGATE to 0.16. The cause is low variety in…

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. The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ↗Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) · no summary yetSebastian Gehrmann et al.2021 · 369 citations
  2. TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep LearningInternational Workshop on Semantic Evaluation (SemEval)Malak Abdullah, Samira Shaikh2018 · 68 citations
  3. Improving Dialogue Act Recognition with Augmented DataWorkshop on Generation, Evaluation and Metrics (GEM)Khyati Mahajan, Soham Parikh, Quaizar Vohra, et al.2022 · 2 citations

 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 227 times (of the 149,439 papers whose bibliographies we read); 43 citing papers with a page here →.

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