A non-factoid question answering system for prior art search

Zihayat, Morteza; Etwaroo, Rochelle

doi:10.1016/j.eswa.2021.114910

Cited by 9 publications

(1 citation statement)

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“…BERT (Bidirectional Encoder Representations for Transformers) is a new language representation model that has obtained results in several natural language processing tasks (Devlin et al 2019). BERT considers a text sequence in both directions (from left to right and from right to left) for a given task, which (in contrast to LDA) enables it to characterize the syntactic and semantic features of the context (Zihayat and Etwaroo 2021). When LDA and BERT are combined, in the form of LDA-BERT, topic modeling has been shown to be useful in analyzing literature on arti cial intelligence in sustainable energy and has successfully extracted major research topics in that eld (Saheb et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Topic modeling discovers trending topics in global research on the ecosystem impacts of microplastics

Gong,

Hu,

Zhang

et al. 2023

Preprint

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The ecological threats of microplastics have sparked research worldwide. However, changes in the topics of microplastic research over time and space have not been evaluated quantitatively, making it difficult to identify the next frontiers. Here, we apply topic modeling to assess global spatiotemporal dynamics of microplastic research. We identified nine leading topics in current microplastic research. Over time, microplastic research topics have switched from aquatic to terrestrial ecosystems, from distribution to fate, from ingestion to toxicology, and from physiological toxicity to cytotoxicity and genotoxicity. In most of the nine leading topics, a disproportionate amount of independent and collaborative research activity was conducted in and between a few developed countries which is detrimental to understanding the environmental fates of microplastics in a global context. This review recognizes the urgent need for more attention to emerging topics in microplastic research, particularly in regions that are heavily impacted but currently overlooked.

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Section: Introductionmentioning

confidence: 99%