We examine the problem of retrieving the top-m ranked items from a large collection, randomly distributed across an n-node system. In order to retrieve the top m overall, we must ...
This paper describes a question answering system that automatically finds answers to questions in a large collection of documents. The prototype CNLP question answering system was...
Anne Diekema, Xiaoyong Liu, Jiangping Chen, Hudong...
The problem of question/answering (Q/A) is to find answers to open-domain questions by searching large collections of documents. Unlike information retrieval systems, very common ...
Mihai Surdeanu, Dan I. Moldovan, Sanda M. Harabagi...
The treatment of factual data has been widely studied in different areas of Natural Language Processing (NLP). However, processing subjective information still poses important cha...
This paper describes the Bulgarian part of a Bulgarian–English question answering system. The Bulgarian modules are implemented as a question analysis procedure within a Bulgari...
Petya Osenova, Alexander Simov, Kiril Ivanov Simov...