Results 31 to 40 of about 509,299 (294)

TLATR: Automatic Topic Labeling Using Automatic (Domain-Specific) Term Recognition

IEEE Access, 2021
Topic modeling is a probabilistic graphical model for discovering latent topics in text corpora by using multinomial distributions of topics over words. Topic labeling is used to assign meaningful labels for the discovered topics.
Ciprian-Octavian Truica, Elena-Simona Apostol   +1 more
doaj   +1 more source

Using patterns position distribution for software failure detection [PDF]

, 2013
Pattern-based software failure detection is an important topic of research in recent years. In this method, a set of patterns from program execution traces are extracted, and represented as features, while their occurrence frequencies are treated as the ...
Agrawal R., Agrawal R., Bowring J.F., Chandola V., Cheng H., Deshpande M., Dickinson W., Duda R., Gamma E., Han J., Han J., Hutchins M., Liu C., Lo D., Lo D., Lo D., Mannila H., Wang J., Xing Z., Yan X., Yan X.   +20 more
core   +3 more sources

Scalable Topical Phrase Mining from Text Corpora

, 2014
While most topic modeling algorithms model text corpora with unigrams, human interpretation often relies on inherent grouping of terms into phrases. As such, we consider the problem of discovering topical phrases of mixed lengths.
El-Kishky, Ahmed, Han, Jiawei, Song, Yanglei, Voss, Clare, Wang, Chi   +4 more
core   +1 more source

2kenize: Tying Subword Sequences for Chinese Script Conversion

, 2020
Simplified Chinese to Traditional Chinese character conversion is a common preprocessing step in Chinese NLP. Despite this, current approaches have poor performance because they do not take into account that a simplified Chinese character can correspond ...
A, Pranav, Augenstein, Isabelle
core   +1 more source

Topic-Weighted Kernels: Text Kernels Integrating Topic Weights and Deep Word Embeddings for Semantic Text Analytics

IEEE Access
Traditional text classification models, such as text kernels, primarily consider the syntactic aspects of text data. This paper introduces Topic-Weighted Kernels, a new text analytics framework that combines global topical themes with word-level ...
Nikhil V. Chandran, V. S. Anoop, S. Asharaf   +2 more
doaj   +1 more source

Topic Detection and Tracking Based on Event Ontology

IEEE Access, 2020
In recent years, Topic Detection and Tracking (TDT) has served as a core technology for searching, organizing and structuring news oriented textual materials from a variety of internet news and social media. The biggest challenges of TDT are the sparsity
Wei Liu, Lei Jiang, Yusen Wu, Tingting Tang, Weimin Li   +4 more
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

A Study on Performance Enhancement by Integrating Neural Topic Attention with Transformer-Based Language Model

Applied Sciences
As an extension of the transformer architecture, the BERT model has introduced a new paradigm for natural language processing, achieving impressive results in various downstream tasks.
Taehum Um, Namhyoung Kim
doaj   +1 more source

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn, Anna‐Lena Herbach, Christian Bock, Katharina Fleig, Urs Mücke   +4 more
wiley   +1 more source