---
title: "Pushpak Bhattacharyya — papers of 2016 — Elamur Research"
description: "Pushpak Bhattacharyya — papers of 2016: 9 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/pushpak-bhattacharyya/year/2016/"
---
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# Pushpak Bhattacharyya — papers of 2016 — Elamur Research

9 papers · [all years of Pushpak Bhattacharyya](https://md.research.elamur.ai/free/en/authors/pushpak-bhattacharyya/#years)

- [Automatic Sarcasm Detection: A Survey arXiv:1602.03426](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-sarcasm-detection-survey/) — Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman · 2016 · 216 citations

**[Are Word Embedding-based Features Useful for Sarcasm Detection?](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al.*2016 · 212 citations*

**[Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 87 citations*

**[Harnessing Cognitive Features for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/mishra-2016-harnessing-cognitive-features-sarcasm-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.*2016 · 85 citations*

**[How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-do-cultural-differences-impact/) [SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities](https://md.research.elamur.ai/free/en/venues/sighum-workshop-on-language-technology-for-cultural-heritage-social-sciences-and/)**Aditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.*2016 · 47 citations*

**[SlangNet: A WordNet like resource for English Slang](https://md.research.elamur.ai/free/en/papers/dhuliawala-2016-slangnet-wordnet-like-resource-english/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shehzaad Dhuliawala, Diptesh Kanojia, Pushpak Bhattacharyya*2016 · 41 citations*

- [How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/) — Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al. · English · 10 citations
- [Automatic Identification of Sarcasm Target: An Introductory Approach arXiv:1610.07091](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-identification-sarcasm-target-introductory/) — Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al. · 2016 · 6 citations

**[‘Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2016-who-would-have-thought-that/) [Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics](https://md.research.elamur.ai/free/en/venues/workshop-on-extra-propositional-aspects-of-meaning-in-computational-linguistics/)**Aditya Joshi, Prayas Jain, Pushpak Bhattacharyya, et al.*2016 · 5 citations*