Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  outlines the general strategies follod in developing the CMU (Carnegie Mellon University) speech understanding system. Our system is oriented toward the extraction of information relevant to a task. It uses a flexible frame-based parser. Our system handles phenomena that are natural in spontaneous speech, for example, restarts, repeats and grammatically ill-formed utterances. It maintains a history of the key features of the dialogue. It can resolve elliptical, anaphoric and other indirect references. In general, the system may not be able to generate a database response to a query for a number of reasons, for example, the user may inquire about information not in the database. These unansrable (Class X) queries constituted about 30% of the data in the November 92 ARPA Spoken Language Systems benchmark evaluation.  will present some results which indicate that the perplexity of the unansrable queries is significantly higher than the perplexity of the remaining data. ,  focus on our attempts to improve the performance of CMU's Spoken Language System on the unansrable queries. The system has been used to model an air travel information service (ATIS) task. In the December 93 DARPA Spoken Language Systems benchmark evaluation, the CMU ATIS system correctly ansred 90.7% transcript inputs and 86.8% speech inputs. These re the best numbers reported for the evaluation. >
['Sunil Issar', 'Wayne H. Ward']
I am writing a research paper on a idea Unanswerable queries in a spontaneous speech task
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