Entity Extraction of Electrical Equipment Malfunction Text by a Hybrid Natural Language Processing Algorithm

Hybrid Connectionist Natural Language Processing

Web Text Corpus for Natural Language Processing

Web text has been successfully used as training data for many NLP applications. While most previous work accesses web text through search engine hit counts, we created a Web Corpus by downloading web pages to create a topic-diverse collection of 10 billion words of English. We show that for context-sensitive spelling correction the Web Corpus results are better than using a search engine. For t...

Natural Language Processing and Text Mining

A New Hybrid Feature Selection using Natural Language Processing for Text Clustering

Text clustering is unsupervised machine learning method.It needs representation of objects and similarity measure. which compares distribution of features between objects. For the high dimensionality of feature space performance of clustering algorithms decreases.Two techniques are used to deal with this problem: feature extraction and feature selection.In this paper, we describe the hybrid met...

Automatic Extraction of Cause-Effect Relations in Natural Language Text

The discovery of causal relations from text has been studied adopting various approaches based on rules or Machine Learning (ML) techniques. The approach proposed joins both rules and ML methods to combine the advantage of each one. In particular, our approach first identifies a set of plausible cause-effect pairs through a set of logical rules based on dependencies between words then it uses B...