AUTOMATED QUALITY MONITORING IN THE CALL CENTER WITH ASR AND MAXIMUM ENTROPY G. Zweig, O. Siohan, G. Saon, B. Ramabhadran, D. Povey, L. Mangu and B. Kingsbury IBM T.J. Watson Research Center, Yorktown Heights, NYA

First Page		Document Content
Date: 2005-10-21 14:26:42 Computer telephony integration Speech recognition Call centre Humanâ€“computer interaction Segmentation Natural language processing Science Electronic engineering Computational linguistics Telephony User interface techniques		AUTOMATED QUALITY MONITORING IN THE CALL CENTER WITH ASR AND MAXIMUM ENTROPY G. Zweig, O. Siohan, G. Saon, B. Ramabhadran, D. Povey, L. Mangu and B. Kingsbury IBM T.J. Watson Research Center, Yorktown Heights, NYA Add to Reading List Source URL: research.microsoft.com Download Document from Source Website File Size: 1,60 MB Share Document on Facebook

	Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health Tim Althoff∗, Kevin Clark∗, Jure Leskovec Stanford University {althoff, kevclark, jure}@cs.stanford.edu DocID: 1xVji - View Document
	Empirical data on corpus design and usage in biomedical natural language processing DocID: 1vnzz - View Document
	Chapter 1 An Introduction to SA Sentiment Analysis (SA) refers to a broad field of study in Natural Language Processing (NLP) and Artificial Intelligence (AI). In general, Sentiment Analysis is the task of identifying th DocID: 1vjUA - View Document
	The Social and the Neural Network: How to Make Natural Language Processing about People again Dirk Hovy Bocconi University Via Roberto SarfattiMilan, MI, Italy DocID: 1v7Zu - View Document
	Automated Scoring of Chatbot Responses in Conversational Dialogue Steven Kester Yuwono, Wu Biao, Luis Fernando D’Haro Abstract Rapid advancement in natural language processing (NLP) and machine learning has led to the DocID: 1uXgQ - View Document