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Computational linguistics and discourse complexology: Paradigms and research methods
Russian Journal of Linguistics, 2022 The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic analysis, select,
Valery Dmitrievich Solovyev +2 more
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The Shrinking Horizons of Computational Linguistics [PDF]
Computational Linguistics, 2021 Ehud Reiter
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Schrödinger's tree—On syntax and neural language models
Frontiers in Artificial Intelligence, 2022 In the last half-decade, the field of natural language processing (NLP) has undergone two major transitions: the switch to neural networks as the primary modeling paradigm and the homogenization of the training regime (pre-train, then fine-tune).
Artur Kulmizev +2 more
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Testing the Effectiveness of the Diagnostic Probing Paradigm on Italian Treebanks
Information, 2023 The outstanding performance recently reached by neural language models (NLMs) across many natural language processing (NLP) tasks has steered the debate towards understanding whether NLMs implicitly learn linguistic competence.
Alessio Miaschi +4 more
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Acoustic compression in Zoom audio does not compromise voice recognition performance
Scientific Reports, 2023 Human voice recognition over telephone channels typically yields lower accuracy when compared to audio recorded in a studio environment with higher quality.
Valeriia Perepelytsia, Volker Dellwo
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Semi-Automatic Construction of a Readability Corpus for the Vietnamese Language
Vietnam Journal of Computer Science, 2022 Text readability is a measure of how easy or difficult it is to read a text. This readability factor plays a crucial role in the processes of drafting and comprehending the texts, affecting the choice of proper texts for reading.
An-Vinh Luong, Dien Dinh
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npj Science of Learning, 2023 Problems in understanding speech in noisy environments are characteristic for age-related hearing loss. Since hearing aids do not mitigate these communication problems in every case, potential alternatives in a clinical rehabilitation plan need to be ...
Raffael Schmitt +2 more
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OGER++: hybrid multi-type entity recognition
Journal of Cheminformatics, 2019 Background We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus ...
Lenz Furrer +3 more
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Improving spaCy dependency annotation and PoS tagging web service using independent NER services [PDF]
Genomics & Informatics, 2019 Dependency parsing is often used as a component in many text analysis pipelines. However, performance, especially in specialized domains, suffers from the presence of complex terminology.
Nico Colic, Fabio Rinaldi
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The Bulgarian National Corpus: Theory and Practice in Corpus Design
Journal of Language Modelling, 2012 The paper discusses several key concepts related to the development of corpora and reconsiders them in light of recent developments in NLP. On the basis of an overview of present-day corpora, we conclude that the dominant practices of corpus design do ...
Svetla Koeva +5 more
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