The study in this paper belongs to the field of the grammar of metaphor. Six types of animal words were investigated in order to find the connection between their parts of speech and metaphorical relationship by apply...The study in this paper belongs to the field of the grammar of metaphor. Six types of animal words were investigated in order to find the connection between their parts of speech and metaphorical relationship by applying the British National Corpus in combination with Collins Dictionary. It is found that not all verbs formed via conversion from nominal animal words carry the conceptual features of the animal entities, and in this case, the resultant verbs do not form metaphors. Where the verbs carry over the conceptual features of the nominal animal words, metaphors will occur. Of course, there are a few exceptions, like fish in fish for, which forms a metaphor though fish as a verb here does not carry over the conceptual features of the nominal fish.As to adjectives and adverbs derived from nominal animal words, they form metaphors in most cases by carrying over the conceptual features of the relevant animals. The study can be broadened to other entity nouns in order to find regularities about when their derivatives form metaphoricity.展开更多
Linguistic dynamic systems (LDS) are dynamic systems whose state variables are generalized from numbers to words. Generally speaking, LDS can model all evolving processes in word domains by using linguistic evolving l...Linguistic dynamic systems (LDS) are dynamic systems whose state variables are generalized from numbers to words. Generally speaking, LDS can model all evolving processes in word domains by using linguistic evolving laws which are naturally the linguistic extension of evolving laws in numbers. There are two kinds of LDS; namely, type-I and type-II LDS. If the word domain is modeled by fuzzy sets, then the evolving laws of a type-I LDS are constructed by applying the fuzzy extension principle to those of its conventional counterpart. On the other hand, the evolving laws of a type-II LDS are modeled by fuzzy if/then rules. Note that the state spaces of both type-I and type-II LDSs are word continuum. However, in practice, the representation of the state space of a type-II LDS consists of finite number while its computation actually involves a word continuum. In this paper, the existence of fixed points of type-II LDS is studied based on point-to-fuzzy-set mappings. The properties of the fixed point of type-II LDS are also studied. In addition, linguistic controllers are designed to control type-II LDS to goal states specified in words.展开更多
A method of part-of-speech tagging of English text based on closed-words, wold-form and rules, its abstract model and formal description of its realizing procedure are presented. Finally, an experimental example is gi...A method of part-of-speech tagging of English text based on closed-words, wold-form and rules, its abstract model and formal description of its realizing procedure are presented. Finally, an experimental example is givento illustrate the application of this method.展开更多
在金融领域,越来越多的投资者选择在互联网平台上发表自己的见解.这些评论文本作为舆情的载体,可以充分反映投资者情绪,影响投资决策和市场走势.情感分析作为自然语言处理(natural language processing,NLP)中重要的分支,为分析海量的...在金融领域,越来越多的投资者选择在互联网平台上发表自己的见解.这些评论文本作为舆情的载体,可以充分反映投资者情绪,影响投资决策和市场走势.情感分析作为自然语言处理(natural language processing,NLP)中重要的分支,为分析海量的金融文本情感类型提供了有效的研究手段.由于特定领域文本的专业性和大标签数据集的不适用性,金融文本的情感分析是对传统情感分析模型的巨大挑战,传统模型在准确率与召回率上表现较差.为了克服这些挑战,针对金融文本的情感分析任务,从词表示模型出发,提出了基于金融领域的全词覆盖与特征增强的BERT(bidirectional encoder representations from Transformers)预处理模型.展开更多
文摘The study in this paper belongs to the field of the grammar of metaphor. Six types of animal words were investigated in order to find the connection between their parts of speech and metaphorical relationship by applying the British National Corpus in combination with Collins Dictionary. It is found that not all verbs formed via conversion from nominal animal words carry the conceptual features of the animal entities, and in this case, the resultant verbs do not form metaphors. Where the verbs carry over the conceptual features of the nominal animal words, metaphors will occur. Of course, there are a few exceptions, like fish in fish for, which forms a metaphor though fish as a verb here does not carry over the conceptual features of the nominal fish.As to adjectives and adverbs derived from nominal animal words, they form metaphors in most cases by carrying over the conceptual features of the relevant animals. The study can be broadened to other entity nouns in order to find regularities about when their derivatives form metaphoricity.
基金This work has been supported in part by Outstanding Overseas Scholar Award and Outstanding Young Scientist Research Fund.
文摘Linguistic dynamic systems (LDS) are dynamic systems whose state variables are generalized from numbers to words. Generally speaking, LDS can model all evolving processes in word domains by using linguistic evolving laws which are naturally the linguistic extension of evolving laws in numbers. There are two kinds of LDS; namely, type-I and type-II LDS. If the word domain is modeled by fuzzy sets, then the evolving laws of a type-I LDS are constructed by applying the fuzzy extension principle to those of its conventional counterpart. On the other hand, the evolving laws of a type-II LDS are modeled by fuzzy if/then rules. Note that the state spaces of both type-I and type-II LDSs are word continuum. However, in practice, the representation of the state space of a type-II LDS consists of finite number while its computation actually involves a word continuum. In this paper, the existence of fixed points of type-II LDS is studied based on point-to-fuzzy-set mappings. The properties of the fixed point of type-II LDS are also studied. In addition, linguistic controllers are designed to control type-II LDS to goal states specified in words.
文摘A method of part-of-speech tagging of English text based on closed-words, wold-form and rules, its abstract model and formal description of its realizing procedure are presented. Finally, an experimental example is givento illustrate the application of this method.
文摘在金融领域,越来越多的投资者选择在互联网平台上发表自己的见解.这些评论文本作为舆情的载体,可以充分反映投资者情绪,影响投资决策和市场走势.情感分析作为自然语言处理(natural language processing,NLP)中重要的分支,为分析海量的金融文本情感类型提供了有效的研究手段.由于特定领域文本的专业性和大标签数据集的不适用性,金融文本的情感分析是对传统情感分析模型的巨大挑战,传统模型在准确率与召回率上表现较差.为了克服这些挑战,针对金融文本的情感分析任务,从词表示模型出发,提出了基于金融领域的全词覆盖与特征增强的BERT(bidirectional encoder representations from Transformers)预处理模型.
