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Impact of word embedding models on text analytics in deep learning environment: a review
The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
Citation recommendation using semantic representation of cited papers' relations and content
J Zhang, L Zhu - Expert Systems with Applications, 2022 - Elsevier
Citation recommendation can help researchers quickly find supplementary or alternative
references in massive academic resources. Current research on citation recommendation …
references in massive academic resources. Current research on citation recommendation …
Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research
Collaborations between industry and academia provide a key pathway for innovation and
serve as a stimulus for basic and applied research. The collaborative innovations of the two …
serve as a stimulus for basic and applied research. The collaborative innovations of the two …
Do the math: Making mathematics in wikipedia computable
Wikipedia combines the power of AI solutions and human reviewers to safeguard article
quality. Quality control objectives include detecting malicious edits, fixing typos, and spotting …
quality. Quality control objectives include detecting malicious edits, fixing typos, and spotting …
Advanced mathematics exercise recommendation based on automatic knowledge extraction and multilayer knowledge graph
Higher education is rapidly growing in the online learning landscape. However, current
personalized recommendation techniques struggle with the precise extraction of complex …
personalized recommendation techniques struggle with the precise extraction of complex …
Automated configuration of heterogeneous graph neural networks with a semantic math parser for iot systems
Efficient training of deep learning models from time series data for Internet of Things (IoT)
systems requires a good understanding of the domain, particularly if the training is …
systems requires a good understanding of the domain, particularly if the training is …
Modeling mathematical notation semantics in academic papers
Natural language models often fall short when understanding and generating mathematical
notation. What is not clear is whether these shortcomings are due to fundamental limitations …
notation. What is not clear is whether these shortcomings are due to fundamental limitations …
Value creation in emerging technologies through text mining: the case of blockchain
As technology progresses, organisations must understand where to direct their value-
creating efforts to achieve or sustain competitive advantage. This is even more true in the …
creating efforts to achieve or sustain competitive advantage. This is even more true in the …
SciHarvester: searching scientific documents for numerical values
A challenge for search technologies is to support scientific literature surveys that present
overviews of the reported numerical values documented for specific physical properties. We …
overviews of the reported numerical values documented for specific physical properties. We …
Exploring the linguistic factors influencing concept identification
A Haj-Yahya, HA Haj-Yahya - Mathematical Thinking and Learning, 2024 - Taylor & Francis
This study investigates how the semantic differences, if any, in the Arabic and Hebrew terms
for “tangent line” and “rectangle” affect students' understanding and application of these …
for “tangent line” and “rectangle” affect students' understanding and application of these …