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| Content Provider | frontiers |
|---|---|
| Author | Atanassova, Iana Bertin, Marc Mayr, Philipp |
| Abstract | The Research Topic on "Knowledge Discovery and Data Exploitation" aims at promoting interdisciplinary research in computational linguistics and in Natural Language Processing (NLP) applied to the fields of Bibliometrics, Scientometrics and Information Retrieval. It is a follow-up of our previous Research Topic: "Mining Scientific Papers: NLP-enhanced Bibliometrics" (Atanassova et al., 2019).The processing of scientific texts, which includes the analysis of citation contexts but also the task of information extraction from scientific papers for various applications, has been the object of intensive research during the last decade. This has become possible thanks to two factors. The first one is the growing availability of scientific papers in full text and in machine-readable formats together with the rise of the Open Access publishing of papers on online platforms such as ArXiv, Semantic Scholar, CiteSeer or PLOS.The second factor is the relative maturity of open source tools and libraries for natural language processing that facilitate text processing (e.g. Spacy, NLTK, Mallet, OpenNLP, CoreNLP, Gate, CiteSpace). As a result, a large number of experiments have been conducted by processing the full text of papers for citation context analysis, but also summarization and recommendation of scientific papers. This Research Topic aims to discuss novel approaches that focus on the processing and exploitation of data extracted from scientific literature. In particular, the possi... |
| ISSN | 25040537 |
| DOI | 10.3389/frma.2022.911070 |
| Volume Number | 7 |
| Journal | Frontiers in Research Metrics and Analytics |
| Language | English |
| Publisher Date | 2022-06-15 |
| Access Restriction | Open |
| Subject Keyword | Natural Language Processing Scientific papers Citation content analysis Academic search Text mining Scientometrics Computational linguistics |
| Content Type | Text |
| Resource Type | Article |
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