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A Large Self-Annotated Corpus for Sarcasm

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arxiv 1704.05579 v4 pith:FXBDUIDU submitted 2017-04-19 cs.CL cs.AIcs.LG

Mikhail Khodak , Nikunj Saunshi , Kiran Vodrahalli This is my paper · ORCID
classification cs.CLcs.AIcs.LG
keywords corpussarcasmself-annotateddetectionevaluatelargestatementstimes
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Was that Sarcasm?: A Literature Survey on Sarcasm Detection

    cs.CL 2024-11 conditional novelty 1.0 of 10

    A literature review that catalogs sarcasm detection datasets, word-embedding strategies, and neural models, but adds no new experimental results.

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