Назар аудару қабаты

method ID: attentionlayer

Related Papers

Adversarial Attention Modeling for Multi-dimensional Emotion Regression

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIn this paper, we propose a neural network-based approach, namely Adversarial Attention Network, to the task of multi-dimensional emotion regression, which automatically rates multiple emotion dimension scores for an input …...

39914

GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIn this paper we present an emotion classifier models that submitted to the SemEval-2019 Task 3 : EmoContext. Our approach is a Gated Recurrent Neural Network (GRU) model with attention …...

25866

DoTheMath at SemEval-2020 Task 12 : Deep Neural Networks with Self Attention for Arabic Offensive Language Detection

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes our team work and submission for the SemEval 2020 (Sub-Task A) “Offensive Eval: Identifying and Categorizing Offensive Arabic Language in Arabic Social Media”. Our two baseline models …...

24410

CS-UM6P at SemEval-2021 Task 1: A Deep Learning Model-based Pre-trained Transformer Encoder for Lexical Complexity

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractLexical Complexity Prediction (LCP) involves assigning a difficulty score to a particular word or expression, in a text intended for a target audience. In this paper, we introduce a new …...

25659

Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractNatural Language Processing (NLP) models are found to exhibit discriminatory stereotypes across many social constructs, e.g. gender and race. In comparison to the progress made in reducing bias from static …...

30180