The Flesch Index: An Easily Programmable Readability Analysis Algorithm. - John R. Talburt (SIGDOC, 1985)

A writing course in user documentation for computer science majors. - W. Steve Anderson; John R. Talburt (SIGDOC, 1989)

Homograph Discrimination for Intelligent Interfaces via Thesaural Lexicons (Abstract). - Donna M. Mooney; John R. Talburt (ACM Conference on Computer Science, 1990)

An interactive source commenter for Prolog programs. - David Roach; Hal Berghel; John R. Talburt (SIGDOC, 1990)

RAP: relocation allowance planner, a rule-based expert system with self-defining documentation features. - John R. Talburt; David Roach (SIGDOC, 1990)

An Evaluation of Type-10 Homograph Discrimination at the Semi-colon Level in Roget's International Thesaurus. - John R. Talburt; Donna M. Mooney (SIGSMALL/PC Symposium, 1990)

An expert system for check routing (abstract and references only). - Donna M. Mooney; John R. Talburt (ACM Conference on Computer Science, 1991)

Teaching user documentation by modular decomposition: SIGDOC'91 workshop. - John R. Talburt; W. Steve Anderson (SIGDOC, 1991)

Conflict resolution in inductive learning from examples. - Ray R. Hashemi; Mehdi Razzaghi; Frederick R. Jelovsek; John R. Talburt (SAC, 1992)

Prediction Capability of Neural Networks Trained by Monte-Carlo Paradigm. - Ray R. Hashemi; Aslam H. Chowdhury; Nancy L. Stafford; John R. Talburt (SAC, 1993)

A neural network as a quality control monitor of an intelligent system. - Ray R. Hashemi; John R. Talburt; Meena Velusamy (SAC, 1995)

A neural network for speedy trials. - Ray R. Hashemi; Therese M. Schafer; William G. Hinson; John R. Talburt (SAC, 1996)

A diagnostic system based on a multi-decision approximate rules model. - Ray R. Hashemi; F. Fred Choobineh; John R. Talburt; William Slikker; Merle G. Paule (SAC, 1997)

Quantitatively Evaluate Object Oriented Software Evolution. - Wei Li 014; John R. Talburt; Yuan-Tsong Chen (TOOLS (24), 1997)

Empirically Analyzing Object-Oriented Software Evolution. - Wei Li 014; John R. Talburt (J. Object Oriented Program., 1998)

The Effects of Image Enhancement in OCR Systems: A Prototype. - Ray R. Hashemi; Danny Owen; Mark S. Smith; Tim Flanigan; John R. Talburt (ITCC, 2000)

An empirical study of object-oriented system evolution. - Wei Li 014; Letha H. Etzkorn; Carl G. Davis; John R. Talburt (Inf. Softw. Technol., 2000)

Extraction of Features with Unstructured Representation from HTML Documents. - Ray R. Hashemi; Charles Wesley Ford; Tim Vamprooyen; John R. Talburt (ICWI, 2002)

Building Semantic-Rich Patterns for Extracting Features from Events of an On-Line Newspaper. - Ray R. Hashemi; Charles Ford 001; Ashish Bansal; Stephen D. Sieloff; John R. Talburt (ICWI, 2003)

Conducting an Information Product Competitor Analysis: Case Study. - Wyndolyn Smith-Adams; John R. Talburt (ICIQ, 2003)

Shared System for Assessing Consumer Occupancy and Demographic Accuracy. - John R. Talburt (ICIQ, 2003)

What is the difference between information science and computer science? - William Mitchell 001; Charles Ford 001; Donald H. Kraft; John R. Talburt (J. Comput. Sci. Coll., 2003)

A Scheme for Approximate Matching Event Announcements to a Customer Database. - Ray R. Hashemi; John R. Talburt (ICWI, 2004)

Applying Name Knowledge to Name Quality Assessment. - Kimberly Hess; John R. Talburt (ICIQ, 2004)

An Algebraic Approach to Quality Metrics for Customer Recognition Systems. - John R. Talburt; Kimberly Hess; Richard Wang; Emily Kuo (ICIQ, 2004)

Confidence on Approximate Query in Large Datasets. - Charles Wesley Ford; Chia-Chu Chiang; Hao Wu; Radhika R. Chilka; John R. Talburt (ITCC (2), 2004)

The Application of Commercial Data Integration Technologies to Improve the Quality of Anonymous Entity Resolution in the Public Sector. - John R. Talburt; Charles G. Morgan; Terry Talley; Ken Archer (ICIQ, 2005)

Text Data Mining: A Case Study. - Charles Wesley Ford; Chia-Chu Chiang; Hao Wu; Radhika R. Chilka; John R. Talburt (ITCC (1), 2005)

Significance Test for the Talburt-Wang Similarity Index. - Ray R. Hashemi; John R. Talburt; Richard Wang (ICIQ, 2006)

An Information Theoretic Approach to Information Quality Metric. - Ningning Wu; Elizabeth M. Pierce; John R. Talburt; Richard Wang (ICIQ, 2006)

Master of science in information quality: creating a new program with industry and research community support. - John R. Talburt; Ningning Wu; Joe Swaty; Jerry Adams (J. Comput. Sci. Coll., 2006)

Entity Identification Using Indexed Entity Catalogs. - John R. Talburt; Ningning Wu; Elizabeth M. Pierce; Ray R. Hashemi (IKE, 2007)

Where are we now? Where are we going? - John R. Talburt; Elizabeth M. Pierce; Craig Fisher; Andy Koronios; Deborah Henderson; Al Harris (ICIQ, 2007)

A method for entity identification in open source documents with partially redacted attributes. - Ningning Wu; John R. Talburt; Christopher Heien; Nicholas Pippenger; Chia-Chu Chiang; Elizabeth M. Pierce; Ebony Gulley; JaMia Moore (J. Comput. Sci. Coll., 2007)

A Curriculum for a Master of Science in Information Quality. - Yang W. Lee; Elizabeth M. Pierce; John R. Talburt; Richard Y. Wang; Hongwei Zhu 002 (J. Inf. Syst. Educ., 2007)

Towards a Domain-Specific Modeling Language for Customer Data Integration Workflow. - Wesley Deneke; Josh Eno; Wing Ning Li; Craig W. Thompson; John R. Talburt; Jonathan Loghry; David Nash; Jeff Stires (GPC Workshops, 2008)

A Formal Framework for Defining Entity-Based, Data Source Integration. - John R. Talburt; Ray R. Hashemi (IKE, 2008)

A Case Study in Partial Parsing Unstructured Text. - Chia-Chu Chiang; John R. Talburt; Ningning Wu; Elizabeth M. Pierce; Christopher Heien; Ebony Gulley; JaMia Moore (ITNG, 2008)

CoDoSA: A Lightweight, XML-Based Framework for Integrating Unstructured Textual Information. - John R. Talburt; Eric D. Nelson (AMCIS, 2009)

SOG: A Synthetic Occupancy Generator to Support Entity Resolution Instruction and Research. - John R. Talburt; Yinle Zhou; Savitha Yalanadu Shivaiah (ICIQ, 2009)

An entity-based integration framework for modeling and evaluating data enhancement products. - Greg Holland; John R. Talburt (J. Comput. Sci. Coll., 2009)

Methods to Measure Importance of Data Attributes to Consumers of Information Products. - Christopher Heien; Ningning Wu; John R. Talburt (AMCIS, 2010)

An Overview of Open Source Data Quality Tools. - Val Pushkarev; Henry Neumann; Cihan Varol; John R. Talburt (IKE, 2010)

Towards a data-intensive approach to named entity recognition. - O. Isaac Osesina; John R. Talburt (ICIQ, 2010)

Hive: crowdsourcing education data. - Neal Gibson; John R. Talburt (J. Comput. Sci. Coll., 2010)

Subjective image quality prediction based on neural network. - Sertan Kaya; Mariofanna G. Milanova; John R. Talburt; Brian H. Tsou; Marina Altynovac (ICIQ, 2011)

Design consideration for identity resolution in batch and interactive architectures. - Fumiko Kobayashi; Eric D. Nelson; John R. Talburt (ICIQ, 2011)

A patient-oriented approach to comprehensive health information quality improvement. - O. Isaac Osesina; Marie Astrid Cartron-Mizeracki; John R. Talburt (ICIQ, 2011)

Entity identity information management (EIIM). - Yinle Zhou; John R. Talburt (ICIQ, 2011)

Pattern and Phonetic Based Street Name Misspelling Correction. - Cihan Varol; John R. Talburt (ITNG, 2011)

Staging a realistic entity resolution challenge for students. - Yinle Zhou; John R. Talburt (J. Comput. Sci. Coll., 2011)

A Data-Intensive Approach to Named Entity Recognition Combining Contextual and Intrinsic Indicators. - O. Isaac Osesina; John R. Talburt (Int. J. Bus. Intell. Res., 2012)

Optimizing the Accuracy of Entity-Based Data Integration of Multiple Data Sources Using Genetic Programming Methods. - Yinle Zhou; Ali Kooshesh; John R. Talburt (Int. J. Bus. Intell. Res., 2012)

Epilogue: The Data Quality Profession. - Elizabeth M. Pierce; John R. Talburt; C. Lwanga Yonke (Handbook of Data Quality, 2013)

A Practical Guide to Entity Resolution with OYSTER. - John R. Talburt; Yinle Zhou (Handbook of Data Quality, 2013)

A Demonstration of Entity Identity Information Management Applied to Demographic Data in a Referent Tracking System. - Cheng Chen 001; Josh Hanna; John R. Talburt; Mathias Brochhausen; William R. Hogan (ICBO, 2013)

A false positive review indicator for entity resolution systems using Boolean rules. - Daniel L. Pullen; Pei Wang 001; John R. Talburt; Ningning Wu (ICIQ, 2013)

Modeling and simulating the impact of social issues on information quality: Literature review. - Therese L. Williams; Joanne Reilley; David K. Becker; Huzaifa Syed; Thomas C. Redman; Wright A. Nodine Jr.; Amit Saha; Kashif Mehdi; John R. Talburt (ICIQ, 2013)

User-Defined Inverted Index in Boolean, Rule-Based Entity Resolution Systems. - Yinle Zhou; John R. Talburt; Eric D. Nelson (ITNG, 2013)

Special Issue on Entity Resolution - Overview: The Criticality of Entity Resolution in Data and Information Quality. - John R. Talburt (ACM J. Data Inf. Qual., 2013)

A Graduate-Level Course on Entity Resolution and Information Quality: A Step toward ER Education. - Yinle Zhou; Eric D. Nelson; Fumiko Kobayashi; John R. Talburt (ACM J. Data Inf. Qual., 2013)

Methods and Models to Support Consistent Representation of Information Product Maps. - Christopher Heien; Ningning Wu; John R. Talburt (ICIQ, 2014)

Improving the Quality of Entity Resolution for School Enrollment Data through Affinity Scores. - Fumiko Kobayashi; John R. Talburt (ICIQ, 2014)

A Framework for Collecting and Managing Entity Identity Information from Social Media. - Debanjan Mahata; John R. Talburt (ICIQ, 2014)

Iterative Approach to Weight Calculation in Probabilistic Entity Resolution. - Pei Wang 001; Daniel L. Pullen; John R. Talburt; Ningning Wu (ICIQ, 2014)

Decoupling Identity Resolution from the Maintenance of Identity Information. - Fumiko Kobayashi; John R. Talburt (ITNG, 2014)

Probabilistic Matching Compared to Deterministic Matching for Student Enrollment Records. - Pei Wang 001; Daniel L. Pullen; John R. Talburt; Ningning Wu (ITNG, 2014)

Information quality research challenge: Predicting and quantifying the impact of social issues on information quality programs. - John R. Talburt; Therese L. Williams; Thomas C. Redman; David K. Becker (ACM J. Data Inf. Qual., 2014)

Methodology for Large-Scale Entity Resolution without Pairwise Matching. - Cheng Chen 001; Daniel L. Pullen; Reed H. Petty; John R. Talburt (ICDM Workshops, 2015)

A visualization system to support clerical review, correction, and confirmation assertions in entity identity information management. - Cheng Chen 001; Daniel L. Pullen; John R. Talburt (ICIQ, 2015)

Confidence rating for interactive identity resolution. - Fumiko Kobayashi; John R. Talburt (ICIQ, 2015)

A Framework for Collecting, Extracting and Managing Event Identity Information from Twitter. - Debanjan Mahata; John R. Talburt (ICIQ, 2015)

Measuring Sociocultural Factors of Success in Information Quality Projects. - Therese L. Williams; David K. Becker; Carmen Robinson; Thomas C. Redman; John R. Talburt (ICIQ, 2015)

Identification and Ranking of Event-Specific Entity-Centric Informative Content from Twitter. - Debanjan Mahata; John R. Talburt; Vivek Kumar Singh 001 (NLDB, 2015)

From Chirps to Whistles: Discovering Event-specific Informative Content from Twitter. - Debanjan Mahata; John R. Talburt; Vivek Kumar Singh 001 (WebSci, 2015)

Getting to Customer Dialog: An Architecture for Extending Data Governance to Customer Communications Management. - John R. Talburt; Salomon de Jagger; Wynand Nortje; Fumiko Kobayashi; Leslie Culpepper (ICIQ, 2016)

A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes. - Pei Wang 001; Daniel L. Pullen; Fan Liu; William C. Decker; Ningning Wu; John R. Talburt (Int. J. Organ. Collect. Intell., 2016)

Comparison of Pre-and Post-Resolution Blocking Strategies for Entity Resolution in a Distributed Computing Environment. - Pei Wang 001; Daniel L. Pullen; John R. Talburt (AMCIS, 2017)

Critical Cultural Success Factors for Achieving High Quality Information in an Organization. - Therese L. Williams; David K. Becker; John R. Talburt (AMCIS, 2017)

Comparing the Effectiveness of Deterministic Matching with Probabilistic Matching for Entity Resolution of Student Enrollment Records. - Aziz Eram; Abdul Ghani Mohammed; Vishnu Pillai; John R. Talburt (ICIQ, 2017)

ISO 8000-81 Data Quality Management Standard, TDQM Compliance, IQ Principles. - Abdul Ghani Mohammed; Aziz Eram; John R. Talburt (ICIQ, 2017)

Impact of Appointing a Chief Data Officer (CDO) on Firm Performance: Relationahsips Among CDO Appointment, Tenure, Duality, and Firm Performance. - Yu Nie 002; Hongyun Zhang; Richard Y. Wang; John R. Talburt (ICIQ, 2017)

The OYSTER Open Source Project for Introducing Entity Resolution and MDM into Information Systems Curricula. - John R. Talburt; Yumeng Ye; Bingyi Zhong; Xinming Li; James true; Sapna Srimal (AMCIS, 2018)

Entity Resolution Using Logistic Regression as an extension to the Rule-Based Oyster System. - Fumiko Kobayashi; Aziz Eram; John R. Talburt (MIPR, 2018)

Theme-Weighted Ranking of Keywords from Text Documents Using Phrase Embeddings. - Debanjan Mahata; Rajiv Ratn Shah; John Kuriakose; Roger Zimmermann; John R. Talburt (MIPR, 2018)

Chief data officer (CDO) role and responsibility analysis. - Yu Nie 002; John R. Talburt; Xinming Li; Zhongdong Xiao (J. Comput. Sci. Coll., 2018)

A project-first approach to teaching entity resolution and identity management. - Yumeng Ye; John R. Talburt (J. Comput. Sci. Coll., 2018)

Evaluating and Improving Data Fusion Accuracy. - John R. Talburt; Daniel L. Pullen; Melody L. Penning (Information Quality in Information Fusion and Decision Making, 2019)

Rule-Based Data Quality Assessment and Monitoring System in Healthcare Facilities. - Zhan Wang; Serhan Dagtas; John R. Talburt; Ahmad Baghal; Meredith N. Zozus (ITCH, 2019)

The influence of chief data officer presence on firm performance: does firm size matter? - Yu Nie 002; John R. Talburt; Serhan Dagtas; Taiwen Feng (Ind. Manag. Data Syst., 2019)

An analysis of the effect of stop words on the performance of the matrix comparator for entity resolution. - Awaad Alsarkhi; John R. Talburt (J. Comput. Sci. Coll., 2019)

Scoring matrix combined with machine learning for heterogeneously structured entity resolution. - Xinming Li; John R. Talburt; Ting Li; Xiang Michelle Liu (J. Comput. Sci. Coll., 2019)

Generating synthetic data to support entity resolution education and research. - Yumeng Ye; John R. Talburt (J. Comput. Sci. Coll., 2019)

A Rule-Based Data Quality Assessment System for Electronic Health Record Data. - Zhan Wang; John R. Talburt; Ningning Wu; Serhan Dagtas; Meredith Nahm Zozus (Appl. Clin. Inform., 2020)

A scalable, hybrid entity resolution process for unstandardized entity references. - Awaad Al Sarkhi; John R. Talburt (J. Comput. Sci. Coll., 2020)

A Zero Trust Model Based Framework For Data Quality Assessment. - Mahmood Mohammed; John R. Talburt; Serhan Dagtas; Melissa Hollingsworth (CSCI, 2021)

Missing Value Recovery for Single Cell RNA Sequencing Data. - Wenjuan Zhang; William Yang; John R. Talburt; Sherman Morton Weissman; Mary Qu Yang (CSCI, 2021)

Graph-based hierarchical record clustering for unsupervised entity resolution. - Islam Akef Ebeid; John R. Talburt; Md Abdus Salam Siddique (CoRR, 2021)

Preprocessing to Address Bias in Healthcare Data. - Emel Seker; John R. Talburt; Melody L. Greer (MIE, 2022)

Transfer Learning Based Models for Food Detection Using ResNet-50. - Biswa Ranjan Senapati; John R. Talburt; Awad Bin Naeem; Venkata Jaipal Reddy Batthula (eIT, 2023)

Optimal Starting Parameters for Unsupervised Data Clustering and Cleaning in the Data Washing Machine. - Kris E. Anderson; John R. Talburt; Nicholas K. A. Hagan; Timothy J. Zimmerman; Deasia Hagan (FTC (2), 2023)

Editorial: Automated data curation and data governance automation. - John R. Talburt; Lisa Ehrlinger; Justin Magruder (Frontiers Big Data, 2023)

Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach. - Aatif Muhammad Althaf; Md. Samin Morshed; Md Rizwanul Kabir; Mariofanna G. Milanova; John R. Talburt (ICPR (Workshops and Challenges, 5), 2024)

Towards Trustable Language Models: Investigating Information Quality of Large Language Models. - Rick Rejeleene; Xiaowei Xu; John R. Talburt (CoRR, 2024)

Leveraging large language models for efficient representation learning for entity resolution. - Xiaowei Xu; Bi T. Foua; Xingqiao Wang; Vivek Gunasekaran; John R. Talburt (CoRR, 2024)

SparkDWM: a scalable design of a Data Washing Machine using Apache Spark. - Nicholas K. A. Hagan; John R. Talburt (Frontiers Big Data, 2024)

A scalable MapReduce-based design of an unsupervised entity resolution system. - Nicholas K. A. Hagan; John R. Talburt; Kris E. Anderson; Deasia Hagan (Frontiers Big Data, 2024)

A Pattern-Based Approach to Name and Address Parsing with Active Learning. - Onais Khan Mohammed; Khizer Syed; John R. Talburt; Adeeba Tarannum; Abdul Kareem Khan Kashif; Salman Khan; Najmudin Syed; Syed Yaser Mehdi (ICAART (3), 2025)

Improving Quality of Entity Resolution Using a Cascade Approach. - Khizer Syed; Onais Khan Mohammed; John R. Talburt; Adeeba Tarannum; Altaf Mohammed; Mudasar Ali Mir; Mahboob Khan Mohammed (ICAART (3), 2025)