Machine Language Techniques for Conversational Agents

PDF Version Also Available for Download.

Description

Machine Learning is the ability of a machine to perform better at a given task, using its previous experience. Various algorithms like decision trees, Bayesian learning, artificial neural networks and instance-based learning algorithms are used widely in machine learning systems. Current applications of machine learning include credit card fraud detection, customer service based on history of purchased products, games and many more. The application of machine learning techniques to natural language processing (NLP) has increased tremendously in recent years. Examples are handwriting recognition and speech recognition. The problem we tackle in this Problem in Lieu of Thesis is applying machine-learning ... continued below

Creation Information

Sule, Manisha D. December 2003.

Context

This thesis is part of the collection entitled: UNT Student Graduate Works and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 1096 times , with 18 in the last month . More information about this thesis can be viewed below.

Who

People and organizations associated with either the creation of this thesis or its content.

Chair

Publisher

Rights Holder

For guidance see Citations, Rights, Re-Use.

  • Sule, Manisha D.

Provided By

UNT Libraries

With locations on the Denton campus of the University of North Texas and one in Dallas, UNT Libraries serves the school and the community by providing access to physical and online collections; The Portal to Texas History and UNT Digital Libraries; academic research, and much, much more.

Contact Us

What

Descriptive information to help identify this thesis. Follow the links below to find similar items on the Digital Library.

Degree Information

Description

Machine Learning is the ability of a machine to perform better at a given task, using its previous experience. Various algorithms like decision trees, Bayesian learning, artificial neural networks and instance-based learning algorithms are used widely in machine learning systems. Current applications of machine learning include credit card fraud detection, customer service based on history of purchased products, games and many more. The application of machine learning techniques to natural language processing (NLP) has increased tremendously in recent years. Examples are handwriting recognition and speech recognition. The problem we tackle in this Problem in Lieu of Thesis is applying machine-learning techniques to improve the performance of a conversational agent. The OpenMind repository of common sense, in the form of question-answer pairs is treated as the training data for the machine learning system. WordNet is interfaced with to capture important semantic and syntactic information about the words in the sentences. Further, k-closest neighbors algorithm, an instance based learning algorithm is used to simulate a case based learning system. The resulting system is expected to be able to answer new queries with knowledge gained from the training data it was fed with.

Notes

Problem in Lieu of Thesis

Language

Collections

This thesis is part of the following collection of related materials.

UNT Student Graduate Works

This collection houses graduate student works other than theses and dissertations. All materials have been previously accepted by a professional organization or approved by a faculty mentor. The collection includes, but is not limited to problems in lieu of thesis, supplemental files associated with theses and dissertations, posters, recitals, presentations, articles, reviews, book chapters, and artwork. Some items in this collection are restricted to use by the UNT community.

What responsibilities do I have when using this thesis?

When

Dates and time periods associated with this thesis.

Creation Date

  • December 2003

Added to The UNT Digital Library

  • Feb. 15, 2008, 3:02 p.m.

Description Last Updated

  • March 21, 2016, 4:22 p.m.

Usage Statistics

When was this thesis last used?

Yesterday: 0
Past 30 days: 18
Total Uses: 1,096

Interact With This Thesis

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Sule, Manisha D. Machine Language Techniques for Conversational Agents, thesis, December 2003; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc4385/: accessed July 19, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .