This paper describes a new approach for describing contents through the use of interlinguas in order to facilitate the extraction of specific pieces of information. The authors hig...
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
Abstract. Information Extraction, the process of eliciting data from natural language documents, usually relies on the ability to parse the document and then to detect the meaning ...
A novel method for simultaneous keyphrase extraction and generic text summarization is proposed by modeling text documents as weighted undirected and weighted bipartite graphs. Sp...