Results 41 to 50 of about 44,902,161 (285)
Self-Attention-Based BiLSTM Model for Short Text Fine-Grained Sentiment Classification
Fine-grained sentiment polarity classification for short texts has been an important and challenging task in natural language processing until these years.
Jun Xie +4 more
doaj +1 more source
Topic Memory Networks for Short Text Classification [PDF]
EMNLP ...
Jichuan Zeng +5 more
openaire +2 more sources
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling +2 more
wiley +1 more source
Semi-supervised Classification for Short Text Based on Multi-grained Graphs and Attention Mechanism [PDF]
Sparse and fuzzy semantics, insufficient information, and irregular expressions in short texts pose great challenges to short text classification tasks.
YOU Ben, LI Xiaohong, YAO Jin, FENG Shaojie
doaj +1 more source
Graph Convolutional Network Based on Multi-Head Pooling for Short Text Classification
The short text, sparse features, and the lack of training data, etc. are still the key bottlenecks that restrict the successful application of traditional text classification methods. To address these problems, we propose a Multi-head-Pooling-based Graph
Hongyu Zhao, Jiazhi Xie, Hongbin Wang
doaj +1 more source
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Short Text Classification with Tolerance Near Sets [PDF]
Text classification is a classical machine learning application in Natural Language Processing, which aims to assign labels to textual units such as documents, sentences, paragraphs, and queries.
Patel, Vrushang
core +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Transformers are Short-Text Classifiers
International audienceShort text classification is a crucial and challenging aspect of Natural Language Processing. For this reason, there are numerous highly specialized short text classifiers.
Scherp, Ansgar, Karl, Fabian
core +1 more source

