Semantic Pattern Classification
نویسنده
چکیده
The aim of the project is to construct classifiers which should assign semantic patterns to six given verbs, as accurately as possible. Each verb has a set of usual usage patterns (based on the Pattern Dictionary of English Verbs), defined by its semantic and syntactic characteristics. It is assumed that if we are able to automatically assign these patterns, it will help us in the general problem of word sense disambiguation which is vital in many fields of computational linguistics.
منابع مشابه
Lexical Semantics and Selection of TAM in Bantu Languages: A Case of Semantic Classification of Kiswahili Verbs
The existing literature on Bantu verbal semantics demonstrated that inherent semantic content of verbs pairs directly with the selection of tense, aspect and modality formatives in Bantu languages like Chasu, Lucazi, Lusamia, and Shiyeyi. Thus, the gist of this paper is the articulation of semantic classification of verbs in Kiswahili based on the selection of TAM types. This is because the sem...
متن کاملA Joint Semantic Vector Representation Model for Text Clustering and Classification
Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...
متن کاملVHR Semantic Labeling by Random Forest Classification and Fusion of Spectral and Spatial Features on Google Earth Engine
Semantic labeling is an active field in remote sensing applications. Although handling high detailed objects in Very High Resolution (VHR) optical image and VHR Digital Surface Model (DSM) is a challenging task, it can improve the accuracy of semantic labeling methods. In this paper, a semantic labeling method is proposed by fusion of optical and normalized DSM data. Spectral and spatial featur...
متن کاملSemantic Preserving Data Reduction using Artificial Immune Systems
Artificial Immune Systems (AIS) can be defined as soft computing systems inspired by immune system of vertebrates. Immune system is an adaptive pattern recognition system. AIS have been used in pattern recognition, machine learning, optimization and clustering. Feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...
متن کاملSemantic Pattern for User-Interactive Question Answering
A new semantic pattern is proposed in this paper, which can be used by users to post questions and answers in user-interactive question answering (QA) system. The necessary procedures of using semantic pattern in a QA system are also presented, which include question structure analysis, pattern matching, pattern generation, pattern classification and answer extraction. A user interface of using...
متن کاملSemantic similarity based web document classification using support vector machine
With the rapid growth of information on the World Wide Web (WWW), classification of web documents has become important for efficient information retrieval. Relevancy of information retrieved can also be improved by considering semantic relatedness between words which is a basic research area in fields of natural language processing, intelligent retrieval, document clustering and classification,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012