Name
Abstract | ||
|---|---|---|
This paper shows how the use and applications of Fuzzy Sets (FS) in Speech and Natural Language Processing (SNLP) have seen a steady decline to a point where FS are virtually unknown or unappealing for most of the researchers currently working in the SNLP field, tries to find the reasons behind this decline, and proposes some guidelines on what could be done to reverse it and make FS assume a relevant role in SNLP. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/FUZZ-IEEE.2012.6250803 | Fuzzy Systems |
Keywords | Field | DocType |
fuzzy set theory,natural language processing,speech processing,FS,SNLP,fuzzy sets,natural language processing,speech processing,Fuzzy Sets,Natural Language Processing,Speech processing | Speech processing,Cache language model,Computer science,Computational linguistics,Fuzzy set,Natural language processing,Artificial intelligence,Hidden Markov model | Conference |
ISSN | ISBN | Citations |
1098-7584 E-ISBN : 978-1-4673-1505-0 | 978-1-4673-1505-0 | 5 |
PageRank | References | Authors |
0.46 | 31 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| João Paulo Carvalho | 1 | 110 | 17.52 |
| Fernando Batista | 2 | 115 | 21.04 |
| Luísa Coheur | 3 | 199 | 34.38 |