-- First Call for Papers -- Special Issue on "Hybrid Methods for Natural Language Processing" in Electronics journal (JCR IMPACT FACTOR: 2.412) Submission deadline: November 15th, 2021 https://www.mdpi.com/journal/electronics/special_issues/Hybrid_NLP
**Overview** The recent improvements in machine/deep learning (M/DL) technologies do not affect all Natural Language Processing (NLP) tasks, specifically those that require deep linguistic knowledge, natural language understanding, semantic inference and reasoning. For those tasks, it is necessary to design hybrid architectures that integrate symbolic information into M/DL models so as to allow machines to learn new knowledge in a more 'intelligent' way by endowing them with common sense and deep understanding. Abstract and structured knowledge from human specialists can be used not just as training data to learn uninterpretable black-box models, but also to design the models themselves by making them more transparent, easy to interpret by humans, and more efficient for specific purposes.
This special issue will provide a forum for discussing about exciting research on hybrid methodology for NLP tasks. It is open to any contribution that requires deep semantic analysis and/or rich linguistic information. Strategies may combine statistical models with symbolic information based on propositions, regular patterns, rules or whatever symbolic language aimed at representing abstract and structured knowledge.
**List of topics** Topics of interest of this Special Issue include, but are not limited to:
* Information Extraction ** Semantic relation extraction (including Open Information Extraction) ** Multi-word expressions discovery and identification ** Named entity recognition and classification ** Event detection and temporal analysis
* Linguistic Analysis ** Dependency parsing ** Discourse analysis ** Argument mining and evaluation ** Grammar checking
* Semantic Models ** (Contextualized) word embeddings ** Distributional semantics and compositionality ** Sentence similarity and paraphrase
* Text/Opinion Mining ** Sentiment analysis ** Hate speech detection ** Rumour and fake news detection ** Authorship attribution
**Manuscript Submission Information** Please, check information in the web site:
https://www.mdpi.com/journal/electronics/special_issues/Hybrid_NLP
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