Nandakishore Kambhatla

Method and apparatus for creating speech recognition grammars constrained by counter examples

An automated system generates and revises grammars for speech recognizers in a speech recognition system. Given an initial grammar, expressed in terms of non-terminals in Backus-Naur Form (BNF) notation, a sentence generator generates a list of all sentences accepted by the grammar. From this list, a corpus of inappropriate or irrelevant sentences which are accepted by the grammar (counter-examples) is identified. A grammar revisor program uses the original grammar and the list of counter examples, to generate a pruned list from which a revised grammar is generated. The revision process is iterated several times either concatenating or merging pairs of non-terminals until the revised grammar is deemed satisfactory in that it accepts as legal only relevant sentences. The revised grammar is used by the speech recognizer, thus reducing errors in the overall system.

PROSPECT: a system for screening candidates for recruitment

Companies often receive thousands of resumes for each job posting and employ dedicated screeners to short list qualified applicants. In this paper, we present PROSPECT, a decision support tool to help these screeners shortlist resumes efficiently. Prospect mines resumes to extract salient aspects of candidate profiles like skills, experience in each skill, education details and past experience. Extracted information is presented in the form of facets to aid recruiters in the task of screening. We also employ Information Retrieval techniques to rank all applicants for a given job opening. In our experiments we show that extracted information improves our ranking by 30% there by making screening task simpler and more efficient.

Measuring Compliance and Deviations in a Template-Based Service Contract Development Process

Asset-based approaches, involving the use of standardized reusable components (as opposed to building custom solutions), are increasingly being adopted by IT service industries to achieve higher standardization, quality and cost reduction goals. In this paper, we address issues related to the use of an asset-based approach for authoring service contracts, where standard templates are defined for each type of service offered. The success of such an approach relies on a compliance checking system. We focus on three key components of such a system. The first measures how well actual contracts comply with the standard templates. The second analyzes compliant contracts containing moderate deviations and reports on the consistent patterns of deviations observed for each template to help identify necessary modifications required in templates to keep them up-to-date with evolving business requirements and customer needs. The third analyzes noncompliant contracts and identifies groups within them such that members of each group have enough similarity to each other to warrant consideration for development of new templates for each group. We describe the architecture of the proposed system, our experience in the use of various text analysis techniques to prototype different system components, and the lessons learned.