NLPExplorer

Modelling Context with User Embeddings for Sarcasm Detection in Social Media

Month: August
Year: 2016
Location: Berlin, Germany
Venue: CoNLL |
SIG: SIGNLL

Tweet Sarcasm Detection Using Deep Neural Network
Meishan Zhang | Yue Zhang | Guohong Fu |

SentiNLP at IJCNLP-2017 Task 4: Customer Feedback Analysis Using a Bi-LSTM-CNN Model
Shuying Lin | Huosheng Xie | Liang-Chih Yu | K. Robert Lai |

A Large Self-Annotated Corpus for Sarcasm
Mikhail Khodak | Nikunj Saunshi | Kiran Vodrahalli |

SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee | Els Lefever | Véronique Hoste |

KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony Detection
Luise Dürlich |

YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on Twitter
Bo Peng | Jin Wang | Xuejie Zhang |

‘Who would have thought of that!’: A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection
Aditya Joshi | Prayas Jain | Pushpak Bhattacharyya | Mark Carman |

Improved Abusive Comment Moderation with User Embeddings
John Pavlopoulos | Prodromos Malakasiotis | Juli Bakagianni | Ion Androutsopoulos |

Detecting Sarcasm is Extremely Easy ;-)
Natalie Parde | Rodney Nielsen |

Using Author Embeddings to Improve Tweet Stance Classification
Adrian Benton | Mark Dredze |

Embeddings

English

News Social Media Twitter

Expectation-Regulated Neural Model for Event Mention Extraction

Ching-Yun Chang | Zhiyang Teng | Yue Zhang |

Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora

Andrius Mudinas | Dell Zhang | Mark Levene |

A Joint Model of Conversational Discourse Latent Topics on Microblogs

Jing Li | Yan Song | Zhongyu Wei | Kam-Fai Wong |

Argumentation Mining in User-Generated Web Discourse

Ivan Habernal | Iryna Gurevych |