Results 41 to 50 of about 3,188,697 (327)
Mixing and blending syntactic and semantic dependencies [PDF]
, 2008 Our system for the CoNLL 2008 shared task uses a set of individual parsers, a set of stand-alone semantic role labellers, and a joint system for parsing and semantic role labelling, all blended together. The system achieved a macro averaged labelled
Eklund, Johan +5 more
core +3 more sources
Prediction of the Fundus Tessellation Severity With Machine Learning Methods
Frontiers in Medicine, 2022 PurposeTo predict the fundus tessellation (FT) severity with machine learning methods.MethodsA population-based cross-sectional study with 3,468 individuals (mean age of 64.6 ± 9.8 years) based on Beijing Eye Study 2011.
Lei Shao +11 more
doaj +1 more source
Identification of sleep apnea events using discrete wavelet transform of respiration, ECG and accelerometer signals [PDF]
, 2013 Sleep apnea is a common sleep disorder in which patient sleep patterns are disrupted due to recurrent pauses in breathing or by instances of abnormally low breathing. Current gold standard tests for the detection of apnea events are costly and have the
Dermot Diamond +7 more
core +1 more source
Interactive volumetric segmentation for textile micro-tomography data using wavelets and nonlocal means [PDF]
, 2019 This work addresses segmentation of volumetric images of woven carbon fiber textiles from micro-tomography data. We propose a semi-supervised algorithm to classify carbon fibers that requires sparse input as opposed to completely labeled images. The main
Barnard, HS +5 more
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 This study aims to enhance rapeseed field detection accuracy using Sentinel-1 (S1) time series data and addressing challenges in collecting ground samples.
Saeideh Maleki +7 more
doaj +1 more source
Arabic Spelling Correction using Supervised Learning [PDF]
, 2014 In this work, we address the problem of spelling correction in the Arabic language utilizing the new corpus provided by QALB (Qatar Arabic Language Bank) project which is an annotated corpus of sentences with errors and their corrections.
Aly, Mohamed +2 more
core +2 more sources
SQuAD: 100,000+ Questions for Machine Comprehension of Text [PDF]
Conference on Empirical Methods in Natural Language Processing, 2016 We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question is a segment of text from the ...
Pranav Rajpurkar +3 more
semanticscholar +1 more source
Unsupervised Cross-lingual Representation Learning at Scale [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.
Alexis Conneau +9 more
semanticscholar +1 more source
Machine learning approaches for anomaly detection of water quality on a real-world data set
Journal of Information and Telecommunication, 2019 Accurate detection of water quality changes is a crucial task of water companies. Water supply companies must provide safe drinking water. Nowadays in different areas, we find sensible sensors which monitor data during the time.
Fitore Muharemi +2 more
doaj +1 more source
BMJ Open, 2023 Objective Quantitatively evaluate the quality of data underlying real-world evidence (RWE) in heart failure (HF).Design Retrospective comparison of accuracy in identifying patients with HF and phenotypic information was made using traditional (ie ...
Arthur Reshad Garan +4 more
doaj +1 more source