Semantic Representation and Composition for Unknown Compounds in E-HowNet
نویسندگان
چکیده
This paper describes a universal concept representational mechanism called E-HowNet, to handle difficulties caused by unknown words in natural language processing. Semantic structures and sense disambiguation of unknown words are discovered by analogy. We intend to achieve that any concept can be defined by E-HowNet and the representation is near-canonical. The design for easy semantic composition and decomposition makes the automation of semantic processing for unknown words, phrases and even sentences possible.
منابع مشابه
Automatic Sense Derivation for Determinative-Measure Compounds under the Framework of E-HowNet
In this paper, we take Determinative-Measure Compounds as an example to demonstrate how the E-HowNet semantic composition mechanism works in deriving the sense representation for a newly coined determinative-measure (DM) compound. First, we define the sense of a closed set of each individual determiner and measure word in E-HowNet representation exhaustively. Afterwards, we make semantic compos...
متن کاملA Semantic Composition Method for Deriving Sense Representations of Determinative-Measure Compounds in E-HowNet
In this paper, we take Determinative-Measure Compounds as an example to demonstrate how the E-HowNet semantic composition mechanism works in deriving the sense representations for all determinative-measure (DM) compounds which is an open set. We define the sense of a closed set of each individual determinative and measure word in E-HowNet representation exhaustively. We then make semantic compo...
متن کاملKnowledge Representation and Sense Disambiguation for Interrogatives in E-HowNet
In order to train machines to ‘understand’ natural language, we propose a meaning representation mechanism called E-HowNet to encode lexical senses. In this paper, we take interrogatives as examples to demonstrate the mechanisms of semantic representation and composition of interrogative constructions under the framework of E-HowNet. We classify the interrogative words into five classes accordi...
متن کاملKnowledge Representation for Interrogatives in E-HowNet
In order to train machines to ‘understand’ natural language, we proposed a universal concept representational mechanism called E-HowNet to encode lexical semantics. In this paper, we take interrogative constructions as examples, i.e. concepts or sentences for asking questions or making inquiries, to demonstrate the mechanisms of semantic representation and composition under the framework of E-H...
متن کاملA Step toward Compositional Semantics: E-HowNet a Lexical Semantic Representation System
The purpose of designing the lexical semantic representation model E-HowNet is for natural language understanding. E-HowNet is a frame-based entity-relation model extended from HowNet to define lexical senses and achieving compositional semantics. The followings are major extension features of E-HowNet to achieve the goal. a) Word senses (concepts) are defined by either primitives or any well-d...
متن کامل