Results 51 to 60 of about 2,639,905 (339)
Visual Execution and Data Visualisation in Natural Language Processing [PDF]
, 1997 We describe GGI, a visual system that allows the user to execute an automatically generated data flow graph containing code modules that perform natural language processing tasks. These code modules operate on text documents.
Cunningham, Hamish +3 more
core +2 more sources
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
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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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ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing [PDF]
BioNLP@ACL, 2019 Despite recent advances in natural language processing, many statistical models for processing text perform extremely poorly under domain shift. Processing biomedical and clinical text is a critically important application area of natural language ...
Mark Neumann +3 more
semanticscholar +1 more source
Automatic Construction of Chinese Nested Named Entity Recognition Corpus Based on Wikipedia [PDF]
Jisuanji gongcheng, 2018 Traditional supervised learning method needs to label the corpus in a certain scale,which limits its domain adaptability.Therefore,a method of automatically constructing a Chinese nested named entity recognition corpus from Chinese Wikipedia entries is ...
LI Yanqun,HE Yunqi,QIAN Longhua,ZHOU Guodong
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Robust Processing of Natural Language
, 1995 Previous approaches to robustness in natural language processing usually treat deviant input by relaxing grammatical constraints whenever a successful analysis cannot be provided by ``normal'' means. This schema implies, that error detection always comes
Menzel, Wolfgang
core +4 more sources
Natural language processing applied to mental illness detection: a narrative review
npj Digital Medicine, 2022 Mental illness is highly prevalent nowadays, constituting a major cause of distress in people’s life with impact on society’s health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors and a variety
Tianlin Zhang +3 more
semanticscholar +1 more source
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Transformers are ubiquitous in Natural Language Processing (NLP) tasks, but they are difficult to be deployed on hardware due to the intensive computation.
Hanrui Wang +6 more
semanticscholar +1 more source