A Large Self-Annotated Corpus for Sarcasm

Code

• github.com/NLPrinceton/SARC
  In papernone★ 0
• github.com/Kaguura/SarcasmDetection
  none★ 0
• github.com/sachinsharma3191/Sarcasm-Detection
  none★ 0
• github.com/karlwbaker/Springboard_capstone
  none★ 0
• github.com/NauqGnesh/RedditSarcasm
  tf★ 0
• github.com/chrisolen1/sarcasm-detection
  tf★ 0

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.

Tasks

Benchmark Results

Reproductions