SemEval2018

material ID: semeval2018

Related Papers

Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThis paper describes the participation of Amobee in the shared sentiment analysis task at SemEval 2018. We participated in all the English sub-tasks and the Spanish valence tasks. Our system …...

26088

Amrita_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractIn this paper we did an analysis of “Affects in Tweets” which was one of the task conducted by semeval 2018. Task was to build a model which is able …...

26074

Bf3R at SemEval-2018 Task 7: Evaluating Two Relation Extraction Tools for Finding Semantic Relations in Biomedical Abstracts

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractAutomatic extraction of semantic relations from text can support finding relevant information from scientific publications. We describe our participation in Task 7 of SemEval-2018 for which we experimented with two …...

25994

CENNLP at SemEval-2018 Task 2: Enhanced Distributed Representation of Text using Target Classes for Emoji Prediction Representation

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractEmoji is one of the “fastest growing language ” in pop-culture, especially in social media and it is very unlikely for its usage to decrease. These are generally used to …...

26046

CENTEMENT at SemEval-2018 Task 1: Classification of Tweets using Multiple Thresholds with Self-correction and Weighted Conditional Probabilities

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractIn this paper we present our contribution to SemEval-2018, a classifier for classifying multi-label emotions of Arabic and English tweets. We attempted “Affect in Tweets”, specifically Task E-c: Detecting Emotions …...

26092

CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThis report describes the system developed by the CRIM team for the hypernym discovery task at SemEval 2018. This system exploits a combination of supervised projection learning and unsupervised pattern-based …...

26008

IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractIn this paper we introduce our system for the task of Irony detection in English tweets, a part of SemEval 2018. We propose representation learning approach that relies on a …...

26036

PickleTeam! at SemEval-2018 Task 2: English and Spanish Emoji Prediction from Tweets

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractWe present a system for emoji prediction on English and Spanish tweets, prepared for the SemEval-2018 task on Multilingual Emoji Prediction. We compared the performance of an SVM, LSTM and …...

26053

SemEval-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThis paper describes the first task on semantic relation extraction and classification in scientific paper abstracts at SemEval 2018. The challenge focuses on domain-specific semantic relations and includes three different …...

26014

Reproduction and Revival of the Argument Reasoning Comprehension Task

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractReproduction of scientific findings is essential for scientific development across all scientific disciplines and reproducing results of previous works is a basic requirement for validating the hypothesis and conclusions put …...

14275

SpanEmo: Casting Multi-label Emotion Classification as Span-prediction

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractEmotion recognition (ER) is an important task in Natural Language Processing (NLP), due to its high impact in real-world applications from health and well-being to author profiling, consumer analysis and …...

42680