Teachers'teaching evaluation language is an important part of art class teaching,which can directly affect students'interest in art class.Taking the teaching evaluation language of rural art teachers as the re...Teachers'teaching evaluation language is an important part of art class teaching,which can directly affect students'interest in art class.Taking the teaching evaluation language of rural art teachers as the research object,this paper analyzes the main problems existing in teachers'teaching evaluation language through questionnaire survey,case analysis and interview.This paper puts forward some improvement strategies for teachers'teaching evaluation language from the aspects of management,concept and use,so as to provide some reference for junior middle school art teachers'teaching evaluation language.展开更多
Background There is a large group of deaf-mutes worldwide, and sign language is a major communication tool in this community. It is necessary for deaf-mutes to be able to communicate with others who are capable of hea...Background There is a large group of deaf-mutes worldwide, and sign language is a major communication tool in this community. It is necessary for deaf-mutes to be able to communicate with others who are capable of hearing, and hearing people also need to understand sign language, which produces a great demand for sign language tuition. Even though there have already been a large number of books written about sign language, it is inefficient to learn sign language through reading alone, and the same can be said on watching videos. To solve this problem, we developed a smartphone-based interactive Chinese sign language teaching system that facilitates sign language learning. Methods The system provides a learner with some learning modes and captures the learner's actions using the front camera of the smartphone. At present, the system provides a vocabulary set with 1000 frequently used words, and the learner can evaluate his/her sign action by subjective or objective comparison. In the mode of word recognition, the users can play any word within the vocabulary, and the system will return the top three retrieved candidates;thus, it can remind the learners what the sign is. Results This system provides interactive learning to enable a user to efficiently learn sign language. The system adopts an algorithm based on point cloud recognition to evaluate a user's sign and costs about 700ms of inference time for each sample, which meets the real-time requirements. Conclusion This interactive learning system decreases the communication barriers between deaf-mutes and hearing people.展开更多
Referring to the well established foreign language proficiency evaluation scale frameworks such as the CEFR （Common European Framework of Reference for Languages） in Europe and ILR （The Interagency Language Roundta...Referring to the well established foreign language proficiency evaluation scale frameworks such as the CEFR （Common European Framework of Reference for Languages） in Europe and ILR （The Interagency Language Roundtable） scale in the United States, Chinese language education authority is dedicating great efforts to the contruction of the Chinese targeted and tailored national proficiency evaluation system. This initiative will tremendously subvert the traditional language learning and testing mechanism, bring phenomenal transformations and innovations to the future language learning and teaching approaches and methodologies, and meanwhile impose great influence on the language concerning administration and profession.展开更多
The purpose of this paper is to explore the application of large language models(LLMs)in legal case retrieval and to evaluate their potential for providing legal professionals with more efficient work aids.Currently,a...The purpose of this paper is to explore the application of large language models(LLMs)in legal case retrieval and to evaluate their potential for providing legal professionals with more efficient work aids.Currently,although pre-trained models have made great progress in legal case retrieval,they are often limited to specific types of law(e.g.,criminal law,civil law,etc.)and lack the ability to generalize across different types of law.Moreover,most models can only deal with a single task,whereas the legal case retrieval task requires a model to have a superb comprehension of legal texts,involving multiple subtasks and requiring multitasking capabilities.Therefore,the large language model,which has super generalization and multitasking ability,can solve the above problems.In order to explore the application of large language models for legal case retrieval in the legal domain,this paper evaluates a series of emerging large language models,including multilingual models,homegrown large models,and models specifically designed for the legal domain.These models are used to retrieve legal cases and its associated subtasks.Based on the Supreme People’s Court definition,the legal case retrieval task is broken down into seven subtasks:event detection,fact generation,trigger word extraction,keyword extraction,summarization,dispute focus identification,and reasoning generation.Using a variety of evaluation metrics,the experiments demonstrated that these emerging models have significant potential in the field of legal case retrieval,even with few shot samples.The research in this paper not only introduces new ideas in the field of legal case retrieval,but also empirically verifies the potential of LLMs to improve the quality and efficiency of retrieval.It proves the value of large language models in this field and is expected to significantly enhance the efficiency of legal practitioners,as well as promote the consistency and fairness of legal judgments through the use of emerging technologies.展开更多
基金Degree and Postgraduate Education and Teaching Reform Research Project of Jiangxi Normal University(YJG201804).
文摘Teachers'teaching evaluation language is an important part of art class teaching,which can directly affect students'interest in art class.Taking the teaching evaluation language of rural art teachers as the research object,this paper analyzes the main problems existing in teachers'teaching evaluation language through questionnaire survey,case analysis and interview.This paper puts forward some improvement strategies for teachers'teaching evaluation language from the aspects of management,concept and use,so as to provide some reference for junior middle school art teachers'teaching evaluation language.
文摘Background There is a large group of deaf-mutes worldwide, and sign language is a major communication tool in this community. It is necessary for deaf-mutes to be able to communicate with others who are capable of hearing, and hearing people also need to understand sign language, which produces a great demand for sign language tuition. Even though there have already been a large number of books written about sign language, it is inefficient to learn sign language through reading alone, and the same can be said on watching videos. To solve this problem, we developed a smartphone-based interactive Chinese sign language teaching system that facilitates sign language learning. Methods The system provides a learner with some learning modes and captures the learner's actions using the front camera of the smartphone. At present, the system provides a vocabulary set with 1000 frequently used words, and the learner can evaluate his/her sign action by subjective or objective comparison. In the mode of word recognition, the users can play any word within the vocabulary, and the system will return the top three retrieved candidates;thus, it can remind the learners what the sign is. Results This system provides interactive learning to enable a user to efficiently learn sign language. The system adopts an algorithm based on point cloud recognition to evaluate a user's sign and costs about 700ms of inference time for each sample, which meets the real-time requirements. Conclusion This interactive learning system decreases the communication barriers between deaf-mutes and hearing people.
文摘Referring to the well established foreign language proficiency evaluation scale frameworks such as the CEFR （Common European Framework of Reference for Languages） in Europe and ILR （The Interagency Language Roundtable） scale in the United States, Chinese language education authority is dedicating great efforts to the contruction of the Chinese targeted and tailored national proficiency evaluation system. This initiative will tremendously subvert the traditional language learning and testing mechanism, bring phenomenal transformations and innovations to the future language learning and teaching approaches and methodologies, and meanwhile impose great influence on the language concerning administration and profession.
基金supported by the Large-scale Industry Model Evaluation Capability Development(CXFZ2024004)the National Social Science Foundation of China(22ZD035)the Research Innovation Project Plan of China University of Political Science and Law(24KYGH021).
文摘The purpose of this paper is to explore the application of large language models(LLMs)in legal case retrieval and to evaluate their potential for providing legal professionals with more efficient work aids.Currently,although pre-trained models have made great progress in legal case retrieval,they are often limited to specific types of law(e.g.,criminal law,civil law,etc.)and lack the ability to generalize across different types of law.Moreover,most models can only deal with a single task,whereas the legal case retrieval task requires a model to have a superb comprehension of legal texts,involving multiple subtasks and requiring multitasking capabilities.Therefore,the large language model,which has super generalization and multitasking ability,can solve the above problems.In order to explore the application of large language models for legal case retrieval in the legal domain,this paper evaluates a series of emerging large language models,including multilingual models,homegrown large models,and models specifically designed for the legal domain.These models are used to retrieve legal cases and its associated subtasks.Based on the Supreme People’s Court definition,the legal case retrieval task is broken down into seven subtasks:event detection,fact generation,trigger word extraction,keyword extraction,summarization,dispute focus identification,and reasoning generation.Using a variety of evaluation metrics,the experiments demonstrated that these emerging models have significant potential in the field of legal case retrieval,even with few shot samples.The research in this paper not only introduces new ideas in the field of legal case retrieval,but also empirically verifies the potential of LLMs to improve the quality and efficiency of retrieval.It proves the value of large language models in this field and is expected to significantly enhance the efficiency of legal practitioners,as well as promote the consistency and fairness of legal judgments through the use of emerging technologies.
