| N01-1018 | translation model in the context of a | call routing | task of unconstrained speech |
| J99-3003 | Figure 4 . In order to carry out | call routing | with the aforementioned vector |
| P04-3021 | practical applications including | call routing | and text classification . Most |
| J99-3003 | Routing Example . To illustrate the | call routing | process with an example , suppose |
| J99-3003 | need to be carried out during the | call routing | process . First , a pseudodocument |
| J99-3003 | of n topics ( or in the case of | call routing | , destinations ) most closely |
| J99-3003 | by only 4 % . 2 . Related Work | Call routing | is similar to text categorization |
| J99-3003 | returned . We apply this technique to | call routing | by treating each destination |
| A00-2028 | system based on the notion of | call routing | ( Gorin et al. , 1997 ; Chu-Carroll |
| N06-2020 | word and document clustering , | call routing | and semantic inference for spoken |
| J99-3003 | the vector model . The overall | call routing | system has the following desirable |
| P06-1026 | e.g. call-types in the case of | call routing | systems ) , the LG model , and |
| N13-2013 | domains such as luggage retrieval or | call routing | , users are less likely to change |
| J09-3002 | applications such as natural language | call routing | ( Haffner , Tur , and Wright |
| P98-1040 | Dialogue Management in Vector-Based | Call Routing | </title> Chu-Carroll Carpenter |
| J99-3003 | this analysis . Our approach to | call routing | is novel in its application of |
| J99-3003 | operator . ' 4 . Vector-based | Call Routing | In addition to notifying the |
| J99-3003 | by 4 % . 1 . Introduction The | call routing | task is one of directing a customer |
| J99-3003 | matches a caller 's request . | Call routing | is distinguished from text categorization |
| C02-1152 | tractedfromthequeryandstatisticalmatching is performed . | Call routing | task ( Chu-Carroll and Carpenter |
