Kyle Williams

Publications
Influence

Cornelia Caragea, Jian Wu, +5 authors Colin Giles
Computer Science
ECIR
13 April 2014

We propose an approach to CiteSeer x metadata cleaning that incorporates information from an external data source that is substantially cleaner than the entire set. Expand

Understanding User Satisfaction with Intelligent Assistants

J. Kiseleva, Kyle Williams, +4 authors T. Anastasakos
Computer Science
CHIIR
13 March 2016

Voice-controlled intelligent personal assistants, such as Cortana, Google Now, Siri and Alexa, are increasingly becoming a part of users' daily lives, especially on mobile devices. Expand

Using Prerequisites to Extract Concept Maps fromTextbooks

Shuting Wang, Alexander Ororbia, +4 authors C. Lee Giles
Computer Science
CIKM
24 October 2016

We present a framework for constructing a specific type of knowledge graph, a concept map from textbooks, which is widely used in the learning sciences. Expand

Concept Hierarchy Extraction from Textbooks

Shuting Wang, Chen Liang, +7 authors C. Lee Giles
Computer Science
DocEng
8 September 2015

We propose a method for extracting concept hierarchies from textbooks based on Wikipedia based on the knowledge in Wikipedia. Expand

Predicting User Satisfaction with Intelligent Assistants

J. Kiseleva, Kyle Williams, Ahmed Hassan Awadallah, A. Crook, I. Zitouni, T. Anastasakos
Computer Science
SIGIR
7 July 2016

We propose an automatic method to predict user satisfaction with intelligent assistants that exploits all the interaction signals, including voice commands and physical touch gestures on the device. Expand

Detecting Good Abandonment in Mobile Search

Kyle Williams, J. Kiseleva, A. Crook, I. Zitouni, Ahmed Hassan Awadallah, Madian Khabsa
Computer Science
WWW
11 April 2016

This paper proposes a solution to this problem using gesture interactions, such as reading times and touch actions, as signals for differentiating between good and bad abandonment. Expand

Towards building a scholarly big data platform: Challenges, lessons and opportunities

Z. Wu, Jian Wu, +8 authors C. Lee Giles
Computer Science
IEEE/ACM Joint Conference on Digital Libraries
8 September 2014

We introduce a Big Data platform that provides various services for harvesting scholarly information and enabling efficient scholarly applications including citation recommendation and collaborator discovery. Expand

Near duplicate detection in an academic digital library

Kyle Williams, C. Lee Giles
Computer Science
ACM Symposium on Document Engineering
10 September 2013

This paper describes an investigation into the application of scalable simhash and shingle state of the art duplicate detection algorithms for detecting near duplicate documents in the CiteSeerX digital library. Expand

Unsupervised Ranking for Plagiarism Source Retrieval Notebook for PAN at CLEF 2013

Kyle Williams, Hung-Hsuan Chen, Sagnik Ray Choudhury, C. Lee Giles
Computer Science
CLEF
2013

We describe a strategy for source retrieval that makes use of an unsupervised ranking method to rank the results returned by a search engine by their similarity with the query document and that only retrieves documents that are likely to be sources of plagiarism. Expand

Measuring User Satisfaction on Smart Speaker Intelligent Assistants Using Intent Sensitive Query Embeddings

Seyyed Hadi Hashemi, Kyle Williams, A. E. Kholy, I. Zitouni, Paul A. Crook
Computer Science
CIKM
17 October 2018

Intelligent assistants are increasingly being used on smart speaker devices, such as Amazon Echo, Google Home, Apple Homepod, and Harmon Kardon Invoke with Cortana. Expand

Recommended Authors