Natural language processing for prolog programmers
https://doi.org/10.1016/0169-023x(94)90017-5
Discover Books. Explore Knowledge.
Search and discover peer-reviewed scholarly literature, open-access articles, and research citations across DOAJ, PubMed Central, and OpenAlex.
https://doi.org/10.1016/0169-023x(94)90017-5
https://doi.org/10.1063/5.0153960
We are delighted to introduce the proceedings of the 11th Conference on Empirical Methods in Natural Language Processing, organized under the auspices of SIGDAT, the ACL Special Interest Group for linguistic data and corpus-based approaches...
https://doi.org/10.3115/1610075
MOTIVATION: The importance of extracting biomedical information from scientific publications is well recognized. A number of information extraction systems for the biomedical domain have been reported, but none of them have become widely us...
https://doi.org/10.1093/bioinformatics/btg207
BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides ...
https://doi.org/10.2196/15708
PMC: 8132982
https://doi.org/10.1016/j.artint.2010.05.008
Lexical Functions in Lexicography and Natural Language Processing is entirely devoted to the topic of Lexical Functions, which have been introduced in the framework of the Meaning-Text Theory (MTT) as a means for describing restricted lexic...
https://doi.org/10.1075/slcs.31
From the Publisher: These ten contributions describe the major technical ideas underlying many of the significant advances in natural language processing over the last decade, focusing in particular on the challenges in areas such as knowl...
https://doi.org/10.1146/annurev.cs.04.060190.002251
https://doi.org/10.1007/978-3-030-88389-8_15
Abstract We review the scholarly contributions that utilise natural language processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles that are published in 32 journals within the period...
https://doi.org/10.1017/dsj.2022.16
Data Augmentation (DA) methods – a family of techniques designed for synthetic generation of training data – have shown remarkable results in various Deep Learning and Machine Learning tasks. Despite its widespread and successful adoption w...
https://doi.org/10.1016/j.asoc.2022.109803
https://doi.org/10.1016/b978-0-12-819043-2.00003-4
Traditional technical analysis methods face limitations in accurately predicting trends in today’s complex financial markets. Meanwhile, existing AI-driven approaches, while powerful in processing large datasets, often lack interpretability...
10.3390/app142411897
Towards the objectives of the UnitedStates Food and Drug Administration (FDA) generic drug science and research program, it is of vital importance in developing product-specific guidances (PSGs) with recommendations that can facilitate and ...
10.3389/frma.2021.670006
Background/IntroductionThe success of influencer marketers' posts on social media often hinges on the influencer's ability to resonate with their audience through the language that they use. By leveraging their unique language cues and comm...
10.3389/fcomm.2026.1799090
Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the ...
10.5771/2192-4007-2024-1-72
Bilingual parallel corpora is a very important basic resource in the research field of natural language processing based on statistics. There are cross alignment and empty alignment in Chinese-English bilingual text, it is easy to affect th...
10.6180/jase.202510_28(10).0005
In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...
10.1109/ACCESS.2024.3419024
Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...
10.1109/ACCESS.2025.3530949
Abstract Machine learning is a branch of the field of artificial intelligence. Deep learning is a complex machine learning algorithm that has unique advantages in image recognition, speech recognition, natural language processing, and indus...
10.1186/s13638-021-02038-7