Advancements in Natural Language Processing for Text Understanding

Natural Language Understanding in Façade: Surface-Text 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...

Diagram understanding utilizing natural language text

Diagram understanding and its cooperative use with other media are important subjects in both pattern understanding and communication. However, it is quite difficult to understand diagrams without supplementary explanation by other media. For this purpose, we propose a new framework for semantic understanding of a diagram by utilizing textual information. In this framework, the elements in a di...

Text Mining by Pseudo-Natural Language Understanding

Text mining by pseudo natural language understanding (TM by PNLU for short) is a technique developed by the AST group of Chinese Academy of Sciences, as part of the project automatic knowledge acquisition by PNLU, which introduces a partial parse technique to avoid the difficulty of full NLU. It consists of three parts: PNL design, PNL parser implementation and PNLU based automatic knowledge ac...

Natural Language Processing and Text Mining