Sarcasm Detection

18 papers with code · Natural Language Processing

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

Benchmarks

Greatest papers with code

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

EMNLP 2017 AniSkywalker/SarcasmDetection

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

SARCASM DETECTION

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

ACL 2019 soujanyaporia/MUStARD

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)

5 Jun 2019soujanyaporia/MUStARD

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

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums

COLING 2018 SenticNet/CASCADE--ContextuAl-SarCAsm-DEtector

The literature in automated sarcasm detection has mainly focused on lexical, syntactic and semantic-level analysis of text.

SARCASM DETECTION

Sarcasm Detection using Hybrid Neural Network

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

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

LREC 2018 NLPrinceton/SARC

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

Tweet Sarcasm Detection Using Deep Neural Network

COLING 2016 zhangmeishan/SarcasmDetection

We investigate the use of neural network for tweet sarcasm detection, and compare the effects of the continuous automatic features with discrete manual features.

SARCASM DETECTION