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Pranav Goel

Pranav Goel has 2 papers in our library, in 2016–2018, most of them on Sentiment & emotion; often with Aditya Joshi, Mark Carman, Pushpak Bhattacharyya.

2 papers in our library · 2016–2018

OpenAlex · ORCID · h-index 7 · 42 works · 248 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 14 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5683

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

🎓Northeastern UniversityBoston · United States2023–2026 · 20 paperscurrent🎓University of Maryland, College ParkCollege Park · United States2019–2023 · 9 papers🎓Indian Institute of Technology BHUVaranasi · India2016–2018 · 4 papers🎓Carnegie Mellon UniversityPittsburgh · United States2018–2019 · 3 papers🏢MicrosoftRedmond · United States2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Sentiment & emotion · 2 works

 Works by year

2010s

20181 paperSarcasm Target Identification: Dataset and An Introductory Approach20161 paperAutomatic Identification of Sarcasm Target: An Introductory Approach

 Papers

The most cited first (OpenAlex and our library).

  1. Sarcasm Target Identification: Dataset and An Introductory Approach (2018 · 16 citations)
    The paper introduces a new task in computational sarcasm. Instead of deciding whether a text is sarcastic, the goal is to find what it mocks. Given a sarcastic text, a system must return the words naming the ridiculed entity or situation. If no such words exist, it returns the fallback label 'Outside'. To benchmark…
  2. Automatic Identification of Sarcasm Target: An Introductory Approach (2016 · 6 citations)
    Most computational sarcasm research stops once it decides whether a text is sarcastic. This paper proposes a follow-up task. Given a text already known to be sarcastic, the system must find the words that name the thing being mocked. If the mocked entity never appears in the text, it returns the fallback label…

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. Sarcasm Target Identification: Dataset and An Introductory ApproachLanguage Resources and Evaluation Conference (LREC)Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.2018 · 16 citations
  2. How Pre-trained Word Representations Capture Commonsense Physical ComparisonsProceedings of the First Workshop on Commonsense Inference in Natural Language Processing · original ↗ · no summary yetPranav Goel, Shi Feng, Jordan Boyd-Graber2019 · 12 citations
  3. Automatic Identification of Sarcasm Target: An Introductory ApproacharXiv:1610.07091Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.2016 · 6 citations

 Co-authors here

3 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 14 times (of the 141,840 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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