Effectiveness of Data-Driven Induction of Semantic Spaces and
Traditional Classifiers for Sarcasm Detection

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Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection

2 April 2019

Mattia Antonino Di Gangi

Giosuè Lo Bosco

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Papers citing "Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection"

8 / 8 papers shown

Title
NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs Christos Baziotis Athanasiou Nikolaos Pinelopi Papalampidi Athanasia Kolovou Georgios Paraskevopoulos Nikolaos Ellinas Alexandros Potamianos 55 53 0 18 Apr 2018
Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue Shereen Oraby Vrindavan Harrison Lena Reed Ernesto Hernandez E. Riloff M. Walker 55 116 0 15 Sep 2017
Really? Well. Apparently Bootstrapping Improves the Performance of Sarcasm and Nastiness Classifiers for Online Dialogue S. Lukin M. Walker 58 89 0 29 Aug 2017
Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation Lotem Peled Roi Reichart 47 57 0 22 Apr 2017
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks Soujanya Poria Min Zhang Devamanyu Hazarika Prateek Vij 76 355 0 27 Oct 2016
Automatic Sarcasm Detection: A Survey Aditya Joshi P. Bhattacharyya Mark James Carman 76 219 0 10 Feb 2016
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 209 7,731 0 02 Mar 2011
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 187 2,992 0 04 Mar 2010