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arXiv:1704.05579cs.CL

A Large Self-Annotated Corpus for Sarcasm

Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli

Abstract

We introduce the Self-Annotated Reddit Corpus (SARC), a large corpus for sarcasm research and for training and evaluating systems for sarcasm detection. The corpus has 1.3 million sarcastic statements -- 10 times more than any previous dataset -- and many times more instances of non-sarcastic statements, allowing for learning in both balanced and unbalanced label regimes. Each statement is furthermore self-annotated -- sarcasm is labeled by the author, not an independent annotator -- and provided with user, topic, and conversation context. We evaluate the corpus for accuracy, construct benchmarks for sarcasm detection, and evaluate baseline methods.

arXiv comments
6 pages, 4 Figures. To Appear in LREC 2018
Journal reference
DOI
Subjects
cs.CLComputation and Language cs.AIArtificial Intelligence cs.LGMachine Learning

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Linked by 2 identifiable commenters in 2 comments across 2 threads, from Jan 2018 to Feb 2020. Found in 1 HN submission from Apr 2017 to Apr 2017. Open submission discussions.

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Discussed in comments2 threads

    • If anyone is interested in studying sarcasm themselves, there is a dataset available: A Large Self-Annotated Corpus for Sarcasm https://arxiv.org/abs/1704.05579 1.3 million sarcastic statements!

      hx2aView on HNParent context

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