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Wlodek Zadrozny

Researcher at IBM

Publications -  84
Citations -  2373

Wlodek Zadrozny is an academic researcher from IBM. The author has contributed to research in topics: Natural language & Dialog box. The author has an hindex of 30, co-authored 83 publications receiving 2349 citations.

Papers
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Proceedings Article

Comparative evaluation of a natural language dialog based system and a menu driven system for information access: a case study

TL;DR: The evaluation of a natural language dialog based navigation system (HappyAssistant) that helps users access e-commerce sites to find relevant information about products and services shows that users prefer the natural language enabled navigation two to one over the menu driven navigation.
Patent

System, method and computer program product for performing unstructured information management and automatic text analysis, and providing multiple document views derived from different document tokenizations

TL;DR: In this paper, the authors present a system architecture, components and a searching technique for an unstructured information management system (UIMS), which is provided as middleware for the effective management and interchange of unstructuring information over a wide array of information sources.
Patent

System and method for resolving decoding ambiguity via dialog

TL;DR: In this article, decoding ambiguities are identified and at least partially resolved intermediate to the language decoding procedures to reduce the subsequent number of final decoding alternatives, where the user is questioned about identified decoding ambiguity as they are being decoded.
PatentDOI

Volume regulating and monitoring system

TL;DR: In this paper, a volume control system and a method for regulating the output volume of a headset in order to protect the hearing ability of a user is presented, which includes a volume sensor/controller for monitoring the volume output of the headset by adjusting the volume to be within a predetermined threshold.
Patent

Lexical answer type confidence estimation and application

TL;DR: In this article, a system, method and computer program product for automatically estimating the confidence of a detected LAT to provide a more accurate overall score for an obtained candidate answer is presented, and a confidence score or value of each detected LAT is obtained, and the system and method performs combining the confidence score with a degree of match between a LAT and an AnswerType of the candidate answer to provide improved overall score.