Results 11 to 20 of about 11,087 (240)
, 2022 Computational Linguistics (CL) is an interdisciplinary field at the intersection of Artificial Intelligence, Linguistics, Cognitive Science, and Computer Science, devoted to the study of natural language from a computational perspective. The main theoretical and engineering goals are the understanding of natural language and the consequent development ...
Toral Ruiz, Antonio, Caselli, Tommaso
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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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Computational historical linguistics [PDF]
Theoretical Linguistics, 2019 AbstractComputational approaches to historical linguistics have been proposed for half a century. Within the last decade, this line of research has received a major boost, owing both to the transfer of ideas and software from computational biology and to the release of several large electronic data resources suitable for systematic comparative work. In
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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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Modeling the Paraphrase Detection Task over a Heterogeneous Graph Network with Data Augmentation
Information, 2020 Paraphrase detection is a Natural-Language Processing (NLP) task that aims at automatically identifying whether two sentences convey the same meaning (even with different words). For the Portuguese language, most of the works model this task as a machine-
Rafael T. Anchiêta +2 more
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Compositionality in Computational Linguistics
Annual Review of Linguistics, 2023 Neural models greatly outperform grammar-based models across many tasks in modern computational linguistics. This raises the question of whether linguistic principles, such as the Principle of Compositionality, still have value as modeling tools. We review the recent literature and find that while an overly strict interpretation of compositionality ...
Donatelli, Lucia, Koller, Alexander
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Weisfeiler-Leman in the
Transactions of the Association for Computational Linguistics, 2021 Several metrics have been proposed for assessing the similarity of (abstract) meaning representations (AMRs), but little is known about how they relate to human similarity ratings. Moreover, the current metrics have complementary strengths and weaknesses:
Juri Opitz, Angel Daza, Anette Frank
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BMC Medical Informatics and Decision Making, 2021 An amendment to this paper has been published and can be accessed via the original article.
Leonardo Campillos-Llanos +3 more
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