Results 61 to 70 of about 3,188,697 (327)
MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction [PDF]
, 2019 Moral rhetoric plays a fundamental role in how we perceive and interpret the information we receive, greatly influencing our decision-making process. Especially when it comes to controversial social and political issues, our opinions and attitudes are ...
Araque, Oscar +2 more
core +3 more sources
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures [PDF]
Annual Meeting of the Association for Computational Linguistics, 2016 We present a novel end-to-end neural model to extract entities and relations between them. Our recurrent neural network based model captures both word sequence and dependency tree substructure information by stacking bidirectional tree-structured LSTM ...
Makoto Miwa, Mohit Bansal
semanticscholar +1 more source
Frontiers in Neurology, 2022 PurposeTexture analysis based on clinical images had been widely used in neurological diseases. This study aimed to achieve depth information of computed tomography (CT) images by texture analysis and to establish a model for noninvasive evaluation of ...
Yingchi Shan +6 more
doaj +1 more source
chrF: character n-gram F-score for automatic MT evaluation
WMT@EMNLP, 2015 We propose the use of character n-gram F-score for automatic evaluation of machine translation output. Character ngrams have already been used as a part of more complex metrics, but their individual potential has not been investigated yet.
Maja Popovic
semanticscholar +1 more source
DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG [PDF]
IEEE transactions on neural systems and rehabilitation engineering, 2017 This paper proposes a deep learning model, named DeepSleepNet, for automatic sleep stage scoring based on raw single-channel EEG. Most of the existing methods rely on hand-engineered features, which require prior knowledge of sleep analysis.
A. Supratak, Hao Dong, Chao Wu, Yike Guo
semanticscholar +1 more source
Real-Time Computing Strategies for Automatic Detection of EEG Seizures in ICU
Applied SciencesDeveloping interfaces for seizure diagnosis, often challenging to detect visually, is rising. However, their effectiveness is constrained by the need for diverse and extensive databases.
Laura López-Viñas +2 more
doaj +1 more source
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods [PDF]
North American Chapter of the Association for Computational Linguistics, 2018 In this paper, we introduce a new benchmark for co-reference resolution focused on gender bias, WinoBias. Our corpus contains Winograd-schema style sentences with entities corresponding to people referred by their occupation (e.g.
Jieyu Zhao +4 more
semanticscholar +1 more source
Journal of NeuroEngineering and Rehabilitation, 2021 Background Identification of individual gait events is essential for clinical gait analysis, because it can be used for diagnostic purposes or tracking disease progression in neurological diseases such as Parkinson’s disease.
Robbin Romijnders +5 more
doaj +1 more source
Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification [PDF]
arXiv, 2022 In recent years, social media has enabled users to get exposed to a myriad of misinformation and disinformation; thus, misinformation has attracted a great deal of attention in research fields and as a social issue. To address the problem, we propose a framework, Pre-CoFact, composed of two pre-trained models for extracting features from text and ...
arxiv
Exploring Machine Learning Algorithms to Find the Best Features for Predicting Modes of Childbirth
IEEE Access, 2021 The mode of delivery is a crucial determinant for ensuring the safety of both mother and child. The current practice for predicting the mode of delivery is generally the opinion of the physician in charge, but choosing the wrong method of delivery can ...
Muhammad Nazrul Islam +4 more
doaj +1 more source