Title :
Parallel inference on a linguistic knowledge base
Author :
Harabagiu, Sanda M. ; Moldovan, Dan I.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
This paper presents a possible solution for the text inference problem extracting information unstated in a text, but implied. The inference algorithm consists of a set of highly parallel search methods that when applied to the knowledge base find contexts of sentences that reveal information relevant to the text. Implementation, results and parallelism analysis are discussed
Keywords :
inference mechanisms; knowledge based systems; parallel algorithms; highly parallel search methods; linguistic knowledge base; parallel inference; parallelism analysis; text inference problem; Computer science; Data mining; Filters; Humans; Inference algorithms; International collaboration; Knowledge engineering; Parallel processing; Search methods; Speech;
Conference_Titel :
Parallel Processing Symposium, 1997. Proceedings., 11th International
Conference_Location :
Genva
Print_ISBN :
0-8186-7793-7
DOI :
10.1109/IPPS.1997.580892
