SecureBERT: A Domain-Specific Language Model for Cybersecurity [PDF]
Security and Privacy in Communication Networks, 2022 Natural Language Processing (NLP) has recently gained wide attention in cybersecurity, particularly in Cyber Threat Intelligence (CTI) and cyber automation.
Ehsan Aghaei +3 more
openalex +2 more sources
A Domain-Specific Language and Editor for Parallel Particle Methods [PDF]
ACM Transactions on Mathematical Software, 2017 Domain-specific languages (DSLs) are of increasing importance in scientific high-performance computing to reduce development costs, raise the level of abstraction and, thus, ease scientific programming.
Castrillon, Jeronimo +3 more
core +2 more sources
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT [PDF]
BMC Bioinformatics, 2022 Background The abundance of biomedical text data coupled with advances in natural language processing (NLP) is resulting in novel biomedical NLP (BioNLP) applications.
Usman Naseem +3 more
doaj +2 more sources
Grammar Prompting for Domain-Specific Language Generation with Large Language Models [PDF]
Neural Information Processing Systems, 2023 Large language models (LLMs) can learn to perform a wide range of natural language tasks from just a handful of in-context examples. However, for generating strings from highly structured languages (e.g., semantic parsing to complex domain-specific ...
Bailin Wang +5 more
semanticscholar +1 more source
ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation [PDF]
arXiv.org, 2023 This paper presents the development and evaluation of ChatHome, a domain-specific language model (DSLM) designed for the intricate field of home renovation. Considering the proven competencies of large language models (LLMs) like GPT-4 and the escalating
Cheng Wen +5 more
semanticscholar +1 more source
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing [PDF]
ACM Trans. Comput. Heal., 2020 Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. However, most pretraining efforts focus on general domain corpora, such as newswire and Web.
Yu Gu +8 more
semanticscholar +1 more source
A domain-specific language for describing machine learning datasets [PDF]
Journal of Computer Languages, 2023 Joan Giner-Miguelez +2 more
openalex +2 more sources
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey [PDF]
Conference on Empirical Methods in Natural Language ProcessingLarge Language Models (LLMs) have demonstrated remarkable success in various tasks such as natural language understanding, text summarization, and machine translation.
Zhihua Song +6 more
openalex +2 more sources
Domain-Specific Language for Land Administration System Transactions
ISPRS International Journal of Geo-Information, 2022 The Land Administration System (LAS) records real estates, owners, and rights information. Changes that take place in the real world are recorded as transactions in LAS.
Đorđe Pržulj +4 more
doaj +1 more source
Brain and Behavior, 2023 Introduction Despite abundant research on the role of Broca's area in language processing, there is still no consensus on language specificity of this region and its connectivity network.
Talat Bulut
doaj +1 more source