Results 31 to 40 of about 52,865,053 (238)
Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets [PDF]
NAACL HLT 2018, 14 pages, 6 figures, data available at http://www.cs.cornell.edu/~jhessel/concreteness/concreteness ...
Jack Hessel, David M. Mimno, Lillian Lee
openaire +3 more sources
News Topic Detection Based on Capsule Semantic Graph
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
topicmodels: An R Package for Fitting Topic Models [PDF]
Topic models allow the probabilistic modeling of term frequency occurrences in documents. The fitted model can be used to estimate the similarity between documents as well as between a set of specified keywords using an additional layer of latent ...
Kurt Hornik +3 more
core +1 more source
Concept Extraction and Clustering for Topic Digital Library Construction [PDF]
This paper is to introduce a new approach to build topic digital library using concept extraction and document clustering. Firstly, documents in a special domain are automatically produced by document classification approach.
Dan, Wu, Chengzhi, Zhang
core +1 more source
Bayesian correlated clustering to integrate multiple datasets [PDF]
Motivation: The integration of multiple datasets remains a key challenge in systems biology and genomic medicine. Modern high-throughput technologies generate a broad array of different data types, providing distinct – but often complementary ...
Wild, David L. +4 more
core +1 more source
Functional similarities between bimanual coordination and topic/comment structure [PDF]
Human manual action exhibits a differential use of a non-dominant (typically, left) and a dominant (typically, right) hand. Human communication exhibits a pervasive structuring of utterances into topic and comment.
Manfred Krifka, Krifka, Manfred
core +1 more source
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 +2 more
doaj +1 more source
Normalized Datasets of Harnack’s Reconstruction of Marcion’s 'Gospel'
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-Conversation Relevance (TCR) Dataset and Benchmarks
To be published in 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and ...
Yaran Fan +3 more
openaire +4 more sources
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo +11 more
wiley +1 more source

