Topics
natural language processingMusic genre
automationMusic genre
Abstract. 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
In this paper we describe a system for semantic interpretation of noun compounds that relies on wor...
The paper argues for the use of general and intuitive knowledge representation languages (and simple...
We rely more and more on machines to organise, analyse and summarise the vast amount of textual digi...
In order to train machines to ‘understand ’ natural language, we proposed a universal concept repres...
In order to train machines to ‘understand ’ natural language, we propose a meaning representation me...
In this paper, we study the semantic representations of comparison words and comparative constructio...
In this paper, we propose an approach for studying the semantic representations of comparison words ...
Knowledge representation is an emerging field of research in Artificial Intelligence, Big data analy...
The presentation will mainly cover (1) What is HowNet? HowNet is an on-line common-sense knowledgeba...
Abstract. This paper introduces an unsupervised algorithm that col-lects senses contained in WordNet...
The main aim of the proposed approach presented in this paper is to improve Web information retrieva...
Abstract. The paper introduces a method for interpreting novel noun compounds with semantic relation...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Abstract: This paper presents a method of calculating similarity between unknown words based on comb...
The main aim of the proposed approach presented in this paper is to improve web information retrieva...
In this paper we describe a system for semantic interpretation of noun compounds that relies on wor...
The paper argues for the use of general and intuitive knowledge representation languages (and simple...
We rely more and more on machines to organise, analyse and summarise the vast amount of textual digi...
In order to train machines to ‘understand ’ natural language, we proposed a universal concept repres...
In order to train machines to ‘understand ’ natural language, we propose a meaning representation me...
In this paper, we study the semantic representations of comparison words and comparative constructio...
In this paper, we propose an approach for studying the semantic representations of comparison words ...
Knowledge representation is an emerging field of research in Artificial Intelligence, Big data analy...
The presentation will mainly cover (1) What is HowNet? HowNet is an on-line common-sense knowledgeba...
Abstract. This paper introduces an unsupervised algorithm that col-lects senses contained in WordNet...
The main aim of the proposed approach presented in this paper is to improve Web information retrieva...
Abstract. The paper introduces a method for interpreting novel noun compounds with semantic relation...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Abstract: This paper presents a method of calculating similarity between unknown words based on comb...
The main aim of the proposed approach presented in this paper is to improve web information retrieva...
In this paper we describe a system for semantic interpretation of noun compounds that relies on wor...
The paper argues for the use of general and intuitive knowledge representation languages (and simple...
We rely more and more on machines to organise, analyse and summarise the vast amount of textual digi...
Add to ORKG