Language Technologies for Information Extraction
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 309
Special Issue Editor
Interests: information extraction; hate speech detection; deep learning; neuro-symbolic AI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Information extraction (IE) is one of the tasks in the natural language processing (NLP) field. Its goal is to identify and structure relevant data in unstructured or semi-structured documents. Information extraction provides basic components for a wide range of downstream applications in various areas. In business, IE supports robotic process automation (RPA) and business intelligence. In sociological and scientific research, it enables large-scale quantitative analysis of large volumes of texts. In media monitoring, IE is used to index and aggregate mentions of specified brands, companies, people, and locations.
Recent years showed a great impact of deep neural networks and transformer-based pre-trained models on the performance of information extraction tasks. Nevertheless, those approaches do not provide the definitive solution and further research and development are a necessity. The next direction is a neuro-symbolic AI which aims to combine the best features of statistical processing and symbolic representation of knowledge.
The aim of this Special Issue is to gather high-quality submissions presenting state-of-the-art research on language technologies for information extraction, and applications of information extraction methods.
Prof. Dr. Michał Marcińczuk
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- Named entity recognition and disambiguation
- Temporal expression recognition and normalization
- Event recognition and slot filling
- Recognition of semantic relations between entities
- Entity coreference resolution
- Entity linking
- Knowledge-based, deep learning-based and neuro-symbolic approaches to information extraction
- Data augmentation and adversarial training
- Human-in-the-loop resource acquisition
- Information extraction from Big Data
