Results 21 to 30 of about 64,931 (224)

A Literature Survey on Word Sense Disambiguation for the Hindi Language

Information, 2023
Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous.
Vinto Gujjar, Neeru Mago, Raj Kumari, Shrikant Patel, Nalini Chintalapudi, Gopi Battineni   +5 more
doaj   +1 more source

Exploiting Semantic Role Resources for Preposition Disambiguation [PDF]

Computational Linguistics, 2009
This article describes how semantic role resources can be exploited for preposition disambiguation. The main resources include the semantic role annotations provided by the Penn Treebank and FrameNet tagged corpora. The resources also include the assertions contained in the Factotum knowledge base, as well as information from Cyc and Conceptual Graphs.
Tom O'Hara, Janyce Wiebe
openaire   +2 more sources

Clinical Relevance of Drug–Drug Interactions With Antibiotics as Listed in a National Medication Formulary: Results From Two Large Population‐Based Case‐Control Studies in Patients Aged 65–100 Years Using Linked English Primary Care and Hospital Data

Clinical Pharmacology &Therapeutics, Volume 113, Issue 2, Page 423-434, February 2023., 2023
This study evaluated drug–drug interactions (DDIs) between antibiotic and nonantibiotic drugs listed with warnings of severe outcomes in the British National Formulary based on adverse drug reaction (ADR) detectable with routine International Classification of Diseases, Tenth Revision coding.
Tjeerd Pieter van Staa, Munir Pirmohamed, Anita Sharma, Iain Buchan, Darren M. Ashcroft   +4 more
wiley   +1 more source

Development of the information system for the Kazakh language preprocessing

Cogent Engineering, 2021
The aim of this work is the design and development of linguistic resources and preprocessing tools for the Kazakh language. The media-corpus of the Kazakh language is presented as a linguistic resource, which is available on Al-Farabi Kazakh National ...
Darkhan Akhmed-Zaki, Madina Mansurova, Gulmira Madiyeva, Nurgali Kadyrbek, Marzhan Kyrgyzbayeva   +4 more
doaj   +1 more source

Controversies in spine research: Organ culture versus in vivo models for studies of the intervertebral disc

JOR SPINE, Volume 5, Issue 4, December 2022., 2022
Abstract Intervertebral disc degeneration is a common cause of low back pain, the leading cause of disability worldwide. Appropriate preclinical models for intervertebral disc research are essential to achieving a better understanding of underlying pathophysiology and for the development, evaluation, and translation of more effective treatments.
Shirley N. Tang, Andres F. Bonilla, Nadeen O. Chahine, Aimee C. Colbath, Jeremiah T. Easley, Sibylle Grad, Lisbet Haglund, Christine L. Le Maitre, Victor Leung, Annette M. McCoy, Devina Purmessur, Simon Y. Tang, Stephan Zeiter, Lachlan J. Smith   +13 more
wiley   +1 more source

Improving the Performance of Vietnamese–Korean Neural Machine Translation with Contextual Embedding

Applied Sciences, 2021
With the recent evolution of deep learning, machine translation (MT) models and systems are being steadily improved. However, research on MT in low-resource languages such as Vietnamese and Korean is still very limited.
Van-Hai Vu, Quang-Phuoc Nguyen, Ebipatei Victoria Tunyan, Cheol-Young Ock   +3 more
doaj   +1 more source

An auxiliary Part‐of‐Speech tagger for blog and microblog cyber‐slang

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 16, Issue 1, Page 65-79, February 2023., 2023
Abstract The increasing impact of Web 2.0 involves a growing usage of slang, abbreviations, and emphasized words, which limit the performance of traditional natural language processing models. The state‐of‐the‐art Part‐of‐Speech (POS) taggers are often unable to assign a meaningful POS tag to all the words in a Web 2.0 text.
Silvia Golia, Paola Zola
wiley   +1 more source

Combining dependency and constituent-based resources for structure disambiguation [PDF]

2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2002
Unrestricted text analysis requires an accurate syntactic analysis but structural ambiguity is one of the most difficult problems to resolve. Researchers have tried different approaches to obtain the correct syntactic structure from analyzed sentences but no successful results have been obtained.
Sofía N. Galicia-Haro, Igor A. Bolshakov, Alexander Gelbukh   +2 more
openaire   +2 more sources

Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs

IEEE Access, 2022
Most Knowledge Graph-based Question Answering (KGQA) systems rely on training data to reach their optimal performance. However, acquiring training data for supervised systems is both time-consuming and resource-intensive.
Md Rashad Al Hasan Rony, Debanjan Chaudhuri, Ricardo Usbeck, Jens Lehmann   +3 more
doaj   +1 more source

The Socialocene: From Capitalocene to Transnational Waste Regimes

Antipode, EarlyView., 2022
Abstract In this article I will present a relational, and multiscalar, perspective on how state socialism interacted with and shaped the Capitalocene. I introduce a heuristic device, the term Socialocene, a transnational waste regime dominant through the Cold War‐era, that is, during what Will Steffen and colleagues call “the great acceleration”.
Zsuzsa Gille
wiley   +1 more source