Results 31 to 40 of about 7,007,067 (368)

Enhancing Semantic Code Search With Deep Graph Matching

IEEE Access, 2023
The job of discovering appropriate code snippets against a natural language query is an important task for software developers. Appropriate code retrieval increases software productivity and quality as well.
Nazia Bibi, Ayesha Maqbool, Tauseef Rana, Farkhanda Afzal, Ali Akgul, Sayed M. Eldin   +5 more
doaj   +1 more source

Harmonizing results of ataxia rating scales: mFARS, SARA, and ICARS

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2041-2046, December 2022., 2022
Abstract The ever‐increasing body of ataxia research provides opportunities for large‐scale meta‐analyses, systematic reviews, and data aggregation. Because multiple standardized scales are used to quantify ataxia severity, harmonization of these measures is necessary for quantitative data pooling. We applied the modified Friedreich Ataxia Rating Scale
Christian Rummey, Ian H. Harding, Martin B. Delatycki, Geneieve Tai, Thiago Rezende, Louise A. Corben   +5 more
wiley   +1 more source

The clinical spectrum of SMA‐PME and in vitro normalization of its cellular ceramide profile

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1941-1952, December 2022., 2022
Abstract Objective The objectives of this study were to define the clinical and biochemical spectrum of spinal muscular atrophy with progressive myoclonic epilepsy (SMA‐PME) and to determine if aberrant cellular ceramide accumulation could be normalized by enzyme replacement.
Michelle M. Lee, Graeme S. V. McDowell, Darryl C. De Vivo, Daniel Friedman, Samuel F. Berkovic, Maria Spanou, Argirios Dinopoulos, Katheryn Grand, Pedro A. Sanchez‐Lara, Michelle Allen‐Sharpley, Jodi Warman‐Chardon, Alexander Solyom, Thierry Levade, Edward H. Schuchman, Steffany A. L. Bennett, David A. Dyment, Toni S. Pearson   +16 more
wiley   +1 more source

Making Sense of Language Signals for Monitoring Radicalization

Applied Sciences, 2022
Understanding radicalization pathways, drivers, and factors is essential for the effective design of prevention and counter-radicalization programs. Traditionally, the primary methods used by social scientists to detect these drivers and factors include ...
Óscar Araque, J. Fernando Sánchez-Rada, Álvaro Carrera, Carlos Á. Iglesias, Jorge Tardío, Guillermo García-Grao, Santina Musolino, Francesco Antonelli   +7 more
doaj   +1 more source

Natural language research [PDF]

Proceedings of the workshop on Human Language Technology - HLT '93, 1989
The main objective is basic research and system development leading to (1) characterization of information carried by (a) syntax, semantics, and discourse structure, (b) their relation to information carried by intonation, and (c) development of methods for using this information for generation and understanding; (2) development of architectures for ...
Mark Steedman, Bonnie Webber, Aravind K. Joshi, Mitch Marcus   +3 more
openaire   +7 more sources

ID2SBVR: A Method for Extracting Business Vocabulary and Rules from an Informal Document

Big Data and Cognitive Computing, 2022
Semantics of Business Vocabulary and Rules (SBVR) is a standard that is applied in describing business knowledge in the form of controlled natural language.
Irene Tangkawarow, Riyanarto Sarno, Daniel Siahaan   +2 more
doaj   +1 more source

Cross-Task Generalization via Natural Language Crowdsourcing Instructions [PDF]

Annual Meeting of the Association for Computational Linguistics, 2021
Humans (e.g., crowdworkers) have a remarkable ability in solving different tasks, by simply reading textual instructions that define them and looking at a few examples.
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi   +3 more
semanticscholar   +1 more source

Research on Technology of Generating Multi-table SQL Query Statement by Natural Language

Jisuanji kexue yu tansuo, 2020
SQL (structured query language) query generation from natural language is not only one of the most important parts of constructing intelligent database query system, but also one of the difficulties in the individualized operation and maintenance of ...
CAO Jinchao, HUANG Tao, CHEN Gang, WU Xiaofan, CHEN Ke
doaj   +1 more source

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation [PDF]

Conference on Empirical Methods in Natural Language Processing, 2022
A recurring challenge of crowdsourcing NLP datasets at scale is that human writers often rely on repetitive patterns when crafting examples, leading to a lack of linguistic diversity. We introduce a novel approach for dataset creation based on worker and
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi   +3 more
semanticscholar   +1 more source

Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey [PDF]

ACM Computing Surveys, 2021
Large, pre-trained language models (PLMs) such as BERT and GPT have drastically changed the Natural Language Processing (NLP) field. For numerous NLP tasks, approaches leveraging PLMs have achieved state-of-the-art performance. The key idea is to learn a
Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heinz, D. Roth   +8 more
semanticscholar   +1 more source