Results 31 to 40 of about 1,280,155 (271)
Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms
Acta Informatica Pragensia, 2021 Sentiment analysis is one of the most frequently used aspects of Natural Language Processing (NLP), which utilizes the polarity classification of reviews expressed at the aspect, sentence or document level.
Nattawat Khamphakdee +1 more
doaj +1 more source
Software Infrastructure for Natural Language Processing
, 1997 We classify and review current approaches to software infrastructure for research, development and delivery of NLP systems. The task is motivated by a discussion of current trends in the field of NLP and Language Engineering.
Cunningham, Hamish +3 more
core +4 more sources
FEBS Open Bio, EarlyView.Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu +10 more
wiley +1 more source
Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus
The Scientific World Journal, 2014 This paper presents a novel approach for unsupervised shallow parsing model trained on the unannotated Chinese text of parallel Chinese-English corpus. In this approach, no information of the Chinese side is applied. The exploitation of graph-based label
Ling Zhu, Derek F. Wong, Lidia S. Chao
doaj +1 more source
Bootstrapping Knowledge Graphs From Images and Text
Frontiers in Neurorobotics, 2019 The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation.
Jiayuan Mao +7 more
doaj +1 more source
Research on Neural Semantic Analysis Method for Multi-language Input [PDF]
Jisuanji gongcheng, 2019 The semantic analysis of multi-language to semantic expressions is to take multiple semantically equivalent different language sentences as input and parse them into corresponding semantic expressions.Under the framework of neural network coding-decoding,
CHAI Qiang,LI Junhui,KONG Fang,ZHOU Guodong
doaj +1 more source
Natural Language Processing and Language Technologies for the Basque Language
Cuadernos Europeos de Deusto, 2022 The presence of a language in the digital domain is crucial for its survival, as online communication and digital language resources have become the standard in the last decades and will gain more importance in the coming years.
Itziar Gonzalez-Dios, Begoña Altuna
doaj +1 more source
Quantifying Uncertainties in Natural Language Processing Tasks
, 2018 Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable.
Wang, William Yang, Xiao, Yijun
core +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Improving negative rejection ability in language models: A review of fine-tuned LLMs, RAG, and RAFT
Journal of King Saud University: Computer and Information SciencesLarge Language Models (LLMs) excel in text understanding and generation but struggle to reject irrelevant, ambiguous, or misleading queries, termed negative rejection, impacting reliability in high-stakes contexts.
Li Bowen +4 more
doaj +1 more source