Results 41 to 50 of about 10,655,437 (309)
Natural Language Processing for Teaching Ancient Languages [PDF]
, 2021 Konstantin Schulz shows various applications of natural language processing (NLP) to the field of Classics, especially to Latin texts. He addresses different levels of linguistic analysis while also highlighting educational benefits and important ...
Schulz, Konstantin
core +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
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
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Robust processing of natural language [PDF]
, 1995 16 pages, LaTeX, uses pstricks.sty, pstricks.tex, pstricks.pro, pst-node.sty, pst-node.tex, pst-node.pro. To appear in: Proc. KI-95, 19th German Conference on Artificial Intelligence, Bielefeld (Germany), Lecture Notes in Computer Science, Springer ...
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Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
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
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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
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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
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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
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Natural language processing: an introduction [PDF]
Journal of the American Medical Informatics Association, 2011 To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design.This tutorial targets the medical informatics generalist who has limited acquaintance with the principles behind NLP and/or limited knowledge of the current state of the art.We describe the historical evolution of NLP, and summarize common NLP sub ...
Prakash M. Nadkarni +2 more
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