Impact of word embedding models on text analytics in deep learning environment: a review

DS Asudani, NK Nagwani, P Singh - Artificial intelligence review, 2023 - Springer
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 …

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 …

Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research

H Chen, Q **, X Wang, F **ong - Technological Forecasting and Social …, 2022 - Elsevier
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 …

Do the math: Making mathematics in wikipedia computable

A Greiner-Petter, M Schubotz… - … on Pattern Analysis …, 2022 - ieeexplore.ieee.org
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 …

Advanced mathematics exercise recommendation based on automatic knowledge extraction and multilayer knowledge graph

S Dong, X Tao, R Zhong, Z Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Higher education is rapidly growing in the online learning landscape. However, current
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

A Ba, K Lynch, J Ploennigs, B Schaper… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
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 …

Modeling mathematical notation semantics in academic papers

H Jo, D Kang, A Head, MA Hearst - Findings of the Association for …, 2021 - aclanthology.org
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 …

Value creation in emerging technologies through text mining: the case of blockchain

F Chiarello, P Belingheri, A Bonaccorsi… - … Analysis & Strategic …, 2021 - Taylor & Francis
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 …

SciHarvester: searching scientific documents for numerical values

M Rybinski, S Wan, S Karimi, C Paris, B **… - Proceedings of the 46th …, 2023 - dl.acm.org
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 …

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 …