Citation Context Analysis(CCA)is a typical data-driven research field based on full-text information,which breaks the limitations of traditional citation analysis using only bibliographic data,and benefits further stu...Citation Context Analysis(CCA)is a typical data-driven research field based on full-text information,which breaks the limitations of traditional citation analysis using only bibliographic data,and benefits further studies on various citation behaviors and other core issues behind them,such as citation motivation,citation function and citation sentiment.Corpus for CCA is the most important guarantee and support for these issues.This paper attempts to discuss the corpus construction and mining for CCA in order to comprehensively review the research significance,research status and existing deficiencies in this area.Two main sections in our paper are:1)corpus construction for CCA,its three building tasks,such as citation sentence extraction,citation-reference mapping and citation context extraction,are discussed;2)corpus mining and utilization for CCA,following related topics or situations are explored,including classification of citation motivation(or behavior)and citation sentiment,indexing and retrieval based on citation,citation recommendation and evaluation,citation-based abstracting and review generation automatically,and domains knowledge metrics.Finally,some suggestions and future research directions are briefly listed.展开更多
Machine translation builds a bridge for cross-language communication by realizing text conversion between different languages.However,there are still many challenges in achieving context-accurate translations.These ma...Machine translation builds a bridge for cross-language communication by realizing text conversion between different languages.However,there are still many challenges in achieving context-accurate translations.These mainly include how to accurately capture subtle information in context,effectively resolve the ambiguity of polysemous words,properly translate idiomatic expressions,accurately reflect cultural differences,and correctly use terms in specific fields.This article reviews the existing platforms and the latest research results in the field of machine translation,deeply explores the above-mentioned key difficulties,and explores the introduction of artificial intelligence technology.The aim is to improve the overall performance of machine-translation systems,facilitate smoother communication and understanding among people from different cultural backgrounds,further eliminate language barriers,and promote the in-depth integration and development of global multiculturalism.展开更多
The Internet presents numerous sources of useful information nowadays. However, these resources are drowning under the dynamic Web, so accurate finding user-specific information is very difficult. In this paper we dis...The Internet presents numerous sources of useful information nowadays. However, these resources are drowning under the dynamic Web, so accurate finding user-specific information is very difficult. In this paper we discuss a Semantic Graph Web Search (SGWS) algorithm in topic-specific resource discovery on the Web. This method combines the use of hyperlinks, characteristics of Web graph and semantic term weights. We implement the algorithm to find Chinese medical information from the Internet. Our study showed that it has better precision than traditional IR (Information Retrieval) methods and traditional search engines. Key words HITS - evolution web graph - power law distribution - context analysis CLC number TP 391 - TP 393 Foundation item: Supported by the National High-Performance Computation Fund (00303)Biography: Ye Wei-guo (1970-), male, Ph. D candidate, research direction: Web information mining, network security, artificial intelligence.展开更多
In this study, we examined extensive narratives prepared by participants who attended a chronic pain management programme where therapeutic writing was included. The aim was to explore how narrators experience the con...In this study, we examined extensive narratives prepared by participants who attended a chronic pain management programme where therapeutic writing was included. The aim was to explore how narrators experience the contexts in which their lives unfold following a cognitive behavioural programme. The analysis was based on a three-sphere model for context analysis, which referred to the contexts in which the narrators located their life stories: their immediate inter-subjective relationships, the collective social field, and broad cultural meaning. We identified important change processes related to adaptation. Our examination of the experience of therapeutic writing clearly indicated that therapeutic writing is helpful. We suggest that obtaining a better understanding of living with chronic pain through storytelling as part of therapeutic writing and using a three-sphere model for context analysis could improve understanding and approaches to nursing. Health carers should organize care around the experience of illness and its inter-subjective, social, and cultural consequences, which may provide a deeper understanding of identity and the core themes embedded in life stories.展开更多
文摘Citation Context Analysis(CCA)is a typical data-driven research field based on full-text information,which breaks the limitations of traditional citation analysis using only bibliographic data,and benefits further studies on various citation behaviors and other core issues behind them,such as citation motivation,citation function and citation sentiment.Corpus for CCA is the most important guarantee and support for these issues.This paper attempts to discuss the corpus construction and mining for CCA in order to comprehensively review the research significance,research status and existing deficiencies in this area.Two main sections in our paper are:1)corpus construction for CCA,its three building tasks,such as citation sentence extraction,citation-reference mapping and citation context extraction,are discussed;2)corpus mining and utilization for CCA,following related topics or situations are explored,including classification of citation motivation(or behavior)and citation sentiment,indexing and retrieval based on citation,citation recommendation and evaluation,citation-based abstracting and review generation automatically,and domains knowledge metrics.Finally,some suggestions and future research directions are briefly listed.
文摘Machine translation builds a bridge for cross-language communication by realizing text conversion between different languages.However,there are still many challenges in achieving context-accurate translations.These mainly include how to accurately capture subtle information in context,effectively resolve the ambiguity of polysemous words,properly translate idiomatic expressions,accurately reflect cultural differences,and correctly use terms in specific fields.This article reviews the existing platforms and the latest research results in the field of machine translation,deeply explores the above-mentioned key difficulties,and explores the introduction of artificial intelligence technology.The aim is to improve the overall performance of machine-translation systems,facilitate smoother communication and understanding among people from different cultural backgrounds,further eliminate language barriers,and promote the in-depth integration and development of global multiculturalism.
文摘The Internet presents numerous sources of useful information nowadays. However, these resources are drowning under the dynamic Web, so accurate finding user-specific information is very difficult. In this paper we discuss a Semantic Graph Web Search (SGWS) algorithm in topic-specific resource discovery on the Web. This method combines the use of hyperlinks, characteristics of Web graph and semantic term weights. We implement the algorithm to find Chinese medical information from the Internet. Our study showed that it has better precision than traditional IR (Information Retrieval) methods and traditional search engines. Key words HITS - evolution web graph - power law distribution - context analysis CLC number TP 391 - TP 393 Foundation item: Supported by the National High-Performance Computation Fund (00303)Biography: Ye Wei-guo (1970-), male, Ph. D candidate, research direction: Web information mining, network security, artificial intelligence.
文摘In this study, we examined extensive narratives prepared by participants who attended a chronic pain management programme where therapeutic writing was included. The aim was to explore how narrators experience the contexts in which their lives unfold following a cognitive behavioural programme. The analysis was based on a three-sphere model for context analysis, which referred to the contexts in which the narrators located their life stories: their immediate inter-subjective relationships, the collective social field, and broad cultural meaning. We identified important change processes related to adaptation. Our examination of the experience of therapeutic writing clearly indicated that therapeutic writing is helpful. We suggest that obtaining a better understanding of living with chronic pain through storytelling as part of therapeutic writing and using a three-sphere model for context analysis could improve understanding and approaches to nursing. Health carers should organize care around the experience of illness and its inter-subjective, social, and cultural consequences, which may provide a deeper understanding of identity and the core themes embedded in life stories.
