Sarcasm Detection

32 papers with code • 6 benchmarks • 6 datasets

The goal of Sarcasm Detection is to determine whether a sentence is sarcastic or non-sarcastic. Sarcasm is a type of phenomenon with specific perlocutionary effects on the hearer, such as to break their pattern of expectation. Consequently, correct understanding of sarcasm often requires a deep understanding of multiple sources of information, including the utterance, the conversational context, and, frequently some real world facts.

Source: Attentional Multi-Reading Sarcasm Detection

Greatest papers with code

Towards Multimodal Sarcasm Detection (An \_Obviously\_ Perfect Paper)

soujanyaporia/MUStARD ACL 2019

As a first step towards enabling the development of multimodal approaches for sarcasm detection, we propose a new sarcasm dataset, Multimodal Sarcasm Detection Dataset (MUStARD), compiled from popular TV shows.

Sarcasm Detection

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

soujanyaporia/MUStARD 5 Jun 2019

As a first step towards enabling the development of multimodal approaches for sarcasm detection, we propose a new sarcasm dataset, Multimodal Sarcasm Detection Dataset (MUStARD), compiled from popular TV shows.

Sarcasm Detection

Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal

AniSkywalker/SarcasmDetection EMNLP 2017

Sarcasm is a pervasive phenomenon in social media, permitting the concise communication of meaning, affect and attitude.

Sarcasm Detection

Sarcasm Detection using Hybrid Neural Network

rishabhmisra/Headlines-Dataset-For-Sarcasm-Detection 20 Aug 2019

Sarcasm Detection has enjoyed great interest from the research community, however the task of predicting sarcasm in a text remains an elusive problem for machines.

Sarcasm Detection

A Large Self-Annotated Corpus for Sarcasm

NLPrinceton/SARC LREC 2018

We introduce the Self-Annotated Reddit Corpus (SARC), a large corpus for sarcasm research and for training and evaluating systems for sarcasm detection.

Sarcasm Detection

iSarcasm: A Dataset of Intended Sarcasm

silviu-oprea/isarcasm ACL 2020

We consider the distinction between intended and perceived sarcasm in the context of textual sarcasm detection.

Sarcasm Detection