Results 61 to 70 of about 561,016 (281)

Normalized Datasets of Harnack’s Reconstruction of Marcion’s 'Gospel'

Journal of Open Humanities Data, 2021
These two datasets are the first born-digital, normalized, peer-reviewed datasets of Harnack’s classic reconstruction of Marcion’s 'Gospel'. The first consists of human-readable postclassical Greek, the second of lemmatized and morphologically tagged ...
Mark G. Bilby
doaj   +1 more source

Document Informed Neural Autoregressive Topic Models with Distributional Prior

, 2019
We address two challenges in topic models: (1) Context information around words helps in determining their actual meaning, e.g., "networks" used in the contexts "artificial neural networks" vs. "biological neuron networks".
Buettner, Florian, Chaudhary, Yatin, Gupta, Pankaj, Schütze, Hinrich   +3 more
core   +1 more source

Classification hardness for supervised learners on 20 years of intrusion detection data [PDF]

, 2019
This article consolidates analysis of established (NSL-KDD) and new intrusion detection datasets (ISCXIDS2012, CICIDS2017, CICIDS2018) through the use of supervised machine learning (ML) algorithms.
D'hooge, Laurens, De Turck, Filip, Volckaert, Bruno, Wauters, Tim   +3 more
core   +1 more source

Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data [PDF]

, 2016
Scholars often seek to understand topics discussed on Twitter using topic modelling approaches. Several coherence metrics have been proposed for evaluating the coherence of the topics generated by these approaches, including the pre-calculated ...
Fang, Anjie, Habel, Philip, Macdonald, Craig, Ounis, Iadh   +3 more
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

Citation recommendation: approaches and datasets [PDF]

International Journal on Digital Libraries, 2020
Citation recommendation describes the task of recommending citations for a given text. Due to the overload of published scientific works in recent years on the one hand, and the need to cite the most appropriate publications when writing scientific texts
Michael Färber, A. Jatowt
semanticscholar   +1 more source

Infection Control Practices for Vascular Access Management in Hemodialysis: Results From a Nationwide Survey of Japanese National University Hospitals

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada, Makoto Harada, Tadahiko Kikugawa, Takeshi Nakata, Koji Hashimoto, Tsuneo Konta, Yuji Kamijo   +6 more
wiley   +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

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 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