SemEval 2018 Задача 3
material
ID: semeval2018task3
Related Papers
Irony Detector at SemEval-2018 Task 3: Irony Detection in English Tweets using Word Graph
AbstractThis paper describes the Irony detection system that participates in SemEval-2018 Task 3: Irony detection in English tweets. The system participated in the subtasks A and B. This paper discusses …...
NEUROSENT-PDI at SemEval-2018 Task 3: Understanding Irony in Social Networks Through a Multi-Domain Sentiment Model
AbstractThis paper describes the NeuroSent system that participated in SemEval 2018 Task 3. Our system takes a supervised approach that builds on neural networks and word embeddings. Word embeddings were …...
PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis
AbstractThe paper describes our search for a universal algorithm of detecting intentional lexical ambiguity in different forms of creative language. At SemEval-2018 Task 3, we used PunFields, the system of …...