Results 51 to 60 of about 1,753,494 (314)

Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network [PDF]

open access: yes, 2016
Bibliographic analysis considers the author's research areas, the citation network and the paper content among other things. In this paper, we combine these three in a topic model that produces a bibliographic model of authors, topics and documents ...
Buntine, Wray, Lim, Kar Wai
core   +1 more source

TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters [PDF]

open access: yes, 2022
Topic taxonomies, which represent the latent topic (or category) structure of document collections, provide valuable knowledge of contents in many applications such as web search and information filtering. Recently, several unsupervised methods have been developed to automatically construct the topic taxonomy from a text corpus, but it is challenging ...
arxiv   +1 more source

OCTIS: Comparing and Optimizing Topic models is Simple!

open access: yesConference of the European Chapter of the Association for Computational Linguistics, 2021
In this paper, we present OCTIS, a framework for training, analyzing, and comparing Topic Models, whose optimal hyper-parameters are estimated using a Bayesian Optimization approach.
Silvia Terragni   +4 more
semanticscholar   +1 more source

News Topic Detection Based on Capsule Semantic Graph

open access: yesBig Data Mining and Analytics, 2022
Most news topic detection methods use word-based methods, which easily ignore the relationship among words and have semantic sparsity, resulting in low topic detection accuracy.
Shuang Yang, Yan Tang
doaj   +1 more source

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades [PDF]

open access: yes, 2015
Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Ajinkya eJayawant   +4 more
core   +3 more sources

A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management

open access: yesIEEE Access, 2021
Battery ensures power solutions for many necessary portable devices such as electric vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted incidents involving Li-ion batteries have also increased to some extent.
Shahid A. Hasib   +11 more
semanticscholar   +1 more source

Mining academic publications to automatically identify data sources

open access: yesInternational Journal of Population Data Science, 2018
Background Discovering suitable datasets is an important part of health research, particularly for projects working with cohort data, but with the proliferation of so many national and international initiatives, it is becoming increasingly difficult for ...
Athanasios Anastasiou, Karen Tingay
doaj   +1 more source

A latent topic‐aware network for dense video captioning

open access: yesIET Computer Vision, 2023
Multiple events in a long untrimmed video possess the characteristics of similarity and continuity. These characteristics can be considered as a kind of topic semantic information, which probably behaves as same sports, similar scenes, same objects etc ...
Tao Xu   +3 more
doaj   +1 more source

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

open access: yesJournal 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

Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations [PDF]

open access: yes, 2022
Topic models have been the prominent tools for automatic topic discovery from text corpora. Despite their effectiveness, topic models suffer from several limitations including the inability of modeling word ordering information in documents, the difficulty of incorporating external linguistic knowledge, and the lack of both accurate and efficient ...
arxiv   +1 more source

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