Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...
The two most important tasks in entity information summarization from the Web are named entity recognition and relation extraction. Little work has been done toward an integrated ...
Early TREC-style Question Answering Systems were characterized by the following features: (a) the answer of the question was known to be included in a given local corpus, (b) the ...
The Web consists of a large amount of unstructured information that hardly can be elaborated by automatic agents. In recent years, a considerable number of techniques for informat...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...