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arxiv: 1704.05579 · v4 · pith:FXBDUIDUnew · submitted 2017-04-19 · 💻 cs.CL · cs.AI· cs.LG

A Large Self-Annotated Corpus for Sarcasm

classification 💻 cs.CL cs.AIcs.LG
keywords corpussarcasmself-annotateddetectionevaluatelargestatementstimes
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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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