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Nowadays most of event-based corpuses only have English version. Existing event tagging methods are inappropriate for processing Chinese texts, as they are insufficient in terms of expression for event-relations and function words. Chinese is a flexible language, which does not follow strict grammar and contains various function words. To make Chinese text possible for computer analysis, sentences...
Event plays an important role in the field of semantic understanding that associates entities. Although traditional ontology is an effective model to represent domain concept hierarchies and semantics, it simply considers event same as static concept or describes it as relationship. This paper proposes a layered event ontology model which emphasis on event and layered the traditional ontology by excluding...
A new auto-recognition approach based on mutual information/ Conditional Random Fields (CRFs) was put forward in this study. Firstly, statistics-based mutual information algorithm was applied to separate the Chinese words accurately, then the sub-words were picked out from the accurate separation according to the entropy of the left and right information. Secondly, the relative frequency of the sub-words...
While the event extraction and event based natural language processing system have been extensively studied, very little of the work has been done on the annotation of Chinese event. Annotating Chinese event in the text is a complex task. This paper focuses on the taggability of Chinese event, the pre-requisite of annotating Chinese event. A comprehensive questionnaire for tagging Chinese event is...
A document is represented as an event network, the nodes represent events, and the edges represent the correlations between events. Our experiment shows that the event network has the small-world properties, i.e., highly clustered and short path length. We pick out important events according to event's importance to make the event network small. Our experiment shows that these important events can...
In recent years, more and more experts find that events have more semantic means than any other features, such as, characters, terms and concepts. This paper described a method which used event features to classify Chinese Web pages talking about personality in SVM classifier. Firstly, we explained how to represent Chinese documents by event features. Secondly, we constructed event ontology about...
A large amount of research results have shown that events exist in many texts. Understanding texts from semantics, texts are composed of events, and events are the basic semantic units for texts. We present a novel approach for computing text similarity, which selects events as the features for documents and computes text similarity from two points of view: event class and event instance. The number...
Similarity between sentences plays an important role in a variety of applications of natural language process. The paper proposes a novel method to calculate sentence similarity, which takes into account both semantic and syntax: measuring semantic similarity based on events, measuring syntactic similarity based on content words sequence. Our experimental results show that the method is reasonable...
Event extraction is a major task of Automatic Content Extraction (ACE) program. This paper focuses on the sub-task of event extraction, event argument identification, and proposes a novel method for Chinese event argument identification. The method involves two steps: (1) weighting features by the ReliefF algorithm for considering the particular contributions of different features on clustering analysis,...
Aiming at the problems of high cost of time consumption and low precision of IE (information extraction) in IE systems based on concept lattice, a novel mechanism of two-level concept lattice-based IE is put forward. The structure concept lattice is the logical storage of semantic structure of documents, and the content concept lattice is used to store content information of documents. The paper gives...
The open grid services infrastructure (OGSI) defines a distributed system framework by integrating grid and Web services technologies to facilitate the sharing of various resources, which result in grid service. Grid service inherits the features from Web service, aiming at enabling interoperability among heterogeneous grid application. However, in the open grid services architecture (OGSA), grid...
Ontology is an important tool of knowledge representation, but its construction is a difficult and tedious task. Ontology constructed by formal concept analysis is quite complicated in terms of the number of concepts generated and can not deal with the vague and uncertain information in practice. A new method is developed to create fuzzy ontology by clustering on Fuzzy Formal Concept Analysis. In...
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