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Sarcasm Detection

11 papers with code · Natural Language Processing

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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

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

The Role of Conversation Context for Sarcasm Detection in Online Interactions

WS 2017 Alex-Fabbri/deep_learning_nlp_sarcasm

To address the first issue, we investigate several types of Long Short-Term Memory (LSTM) networks that can model both the conversation context and the sarcastic response.

SARCASM DETECTION