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researcher

Mark Carman

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3
ORCID 0000-0001-6575-9737

identity via Semantic Scholar / OpenAlex

most citedAre Word Embedding-based Features Useful for Sarcasm Detection?

17 citations · 23 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2016★ 5 cited

`Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection

Aditya Joshi, Prayas Jain, Pushpak Bhattacharyya +1

Topic Models have been reported to be beneficial for aspect-based sentiment analysis. This paper reports a simple topic model for sarcasm detection, a first, to the best of our kno…

cs.CL2016★ 17 cited

Are Word Embedding-based Features Useful for Sarcasm Detection?

Aditya Joshi, Vaibhav Tripathi, Kevin Patel +2

This paper makes a simple increment to state-of-the-art in sarcasm detection research. Existing approaches are unable to capture subtle forms of context incongruity which lies at t…

cs.CL2016★ 1 cited

A Computational Approach to Automatic Prediction of Drunk Texting

Aditya Joshi, Abhijit Mishra, Balamurali AR +2

Alcohol abuse may lead to unsociable behavior such as crime, drunk driving, or privacy leaks. We introduce automatic drunk-texting prediction as the task of identifying whether a t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.