A World-Wide Distributed System Using Java and the Internet. - K. Mani Chandy; Adam Rifkin; Paolo A. G. Sivilotti; Jacob Mandelson; Matthew Richardson; Wesley Tanaka; Luke Weisman (HPDC, 1996)

Improvements on speech recognition for fast talkers. - Matthew Richardson; Mei-Yuh Hwang; Alex Acero; Xuedong Huang 001 (EUROSPEECH, 1999)

Hidden-articulator Markov models: performance improvements and robustness to noise. - Matthew Richardson; Jeff A. Bilmes; Chris Diorio (INTERSPEECH, 2000)

Mining the network value of customers. - Pedro M. Domingos; Matthew Richardson (KDD, 2001)

The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank. - Matthew Richardson; Pedro M. Domingos (NIPS, 2001)

Mining knowledge-sharing sites for viral marketing. - Matthew Richardson; Pedro M. Domingos (KDD, 2002)

Learning from Networks of Examples. - Pedro M. Domingos; Matthew Richardson (EPIA, 2003)

Learning with Knowledge from Multiple Experts. - Matthew Richardson; Pedro M. Domingos (ICML, 2003)

Building large knowledge bases by mass collaboration. - Matthew Richardson; Pedro M. Domingos (K-CAP, 2003)

Trust Management for the Semantic Web. - Matthew Richardson; Rakesh Agrawal 001; Pedro M. Domingos (ISWC, 2003)

Hidden-articulator Markov models for speech recognition. - Matthew Richardson; Jeff A. Bilmes; Chris Diorio (Speech Commun., 2003)

Combining Link and Content Information in Web Search. - Matthew Richardson; Pedro M. Domingos (Web Dynamics, 2004)

Unifying Logical and Statistical AI. - Pedro M. Domingos; Stanley Kok; Hoifung Poon; Matthew Richardson; Parag Singla (AAAI, 2006)

Evaluation of Web Sites: What Works and What Doesn't. - Sue Ellen Hansen; Matthew Richardson (IASSIST Conference, 2006)

Beyond PageRank: machine learning for static ranking. - Matthew Richardson; Amit Prakash; Eric Brill (WWW, 2006)

Markov logic networks. - Matthew Richardson; Pedro M. Domingos (Mach. Learn., 2006)

Phonetic processing areas revealed by sinewave speech and acoustically similar non-speech. - Randall R. Benson; Matthew Richardson; Douglas H. Whalen; Song Lai 003 (NeuroImage, 2006)

Predicting clicks: estimating the click-through rate for new ads. - Matthew Richardson; Ewa Dominowska; Robert Ragno (WWW, 2007)

Markov Logic. - Pedro M. Domingos; Stanley Kok; Daniel Lowd; Hoifung Poon; Matthew Richardson; Parag Singla (Probabilistic Inductive Logic Programming, 2008)

Just Add Weights: Markov Logic for the Semantic Web. - Pedro M. Domingos; Daniel Lowd; Stanley Kok; Hoifung Poon; Matthew Richardson; Parag Singla (URSW (LNCS Vol.), 2008)

Talking the talk vs. walking the walk: salience of information needs in querying vs. browsing. - Mikhail Bilenko; Ryen W. White; Matthew Richardson; G. Craig Murray (SIGIR, 2008)

Enhancing web search by promoting multiple search engine use. - Ryen W. White; Matthew Richardson; Mikhail Bilenko; Allison P. Heath (SIGIR, 2008)

Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. - Pedro M. Domingos; Stanley Kok; Daniel Lowd; Hoifung Poon; Matthew Richardson; Parag Singla; Marc Sumner; Jue Wang (SSPR/SPR, 2008)

Yes, there is a correlation: - from social networks to personal behavior on the web. - Parag Singla; Matthew Richardson (WWW, 2008)

Learning about the world through long-term query logs. - Matthew Richardson (ACM Trans. Web, 2008)

Enhancing Expert Finding Using Organizational Hierarchies. - Maryam Karimzadehgan; Ryen W. White; Matthew Richardson (ECIR, 2009)

Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals. - Lilyana Mihalkova; Matthew Richardson (ILP, 2009)

Catching the drift: learning broad matches from clickthrough data. - Sonal Gupta; Mikhail Bilenko; Matthew Richardson (KDD, 2009)

Information retrieval and advertising. - Mikhail Bilenko; Evgeniy Gabrilovich; Matthew Richardson; Yi Zhang 001 (SIGIR Forum, 2009)

Markov Logic: A Language and Algorithms for Link Mining. - Pedro M. Domingos; Daniel Lowd; Stanley Kok; Aniruddh Nath; Hoifung Poon; Matthew Richardson; Parag Singla (Link Mining, 2010)

Effects of community size and contact rate in synchronous social q&a. - Ryen W. White; Matthew Richardson; Yandong Liu (CHI, 2011)

Automatic People Tagging for Expertise Profiling in the Enterprise. - Pavel Serdyukov; Mike Taylor; Vishwa Vinay; Matthew Richardson; Ryen W. White (ECIR, 2011)

Predictive client-side profiles for personalized advertising. - Mikhail Bilenko; Matthew Richardson (KDD, 2011)

Supporting synchronous social q&a throughout the question lifecycle. - Matthew Richardson; Ryen W. White (WWW, 2011)

Using statistical text mining to supplement the development of an ontology. - Stephen Luther; Donald J. Berndt; Dezon Finch; Matthew Richardson; Edward Hickling; David Hickam (J. Biomed. Informatics, 2011)

Counting-MLNs: Learning Relational Structure for Decision Making. - Aniruddh Nath; Matthew Richardson (AAAI, 2012)

Effects of expertise differences in synchronous social Q&A. - Ryen W. White; Matthew Richardson (SIGIR, 2012)

MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text. - Matthew Richardson; Christopher J. C. Burges; Erin Renshaw (EMNLP, 2013)

Learning Answer-Entailing Structures for Machine Comprehension. - Mrinmaya Sachan; Kumar Avinava Dubey; Eric P. Xing; Matthew Richardson (ACL (1), 2015)

Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. - Emre Kiciman; Matthew Richardson (KDD, 2015)

Questions vs. Queries in Informational Search Tasks. - Ryen W. White; Matthew Richardson; Wen-tau Yih (WWW (Companion Volume), 2015)

Compressing LSTMs into CNNs. - Krzysztof J. Geras; Abdel-rahman Mohamed; Rich Caruana; Gregor Urban; Shengjie Wang; Özlem Aslan; Matthai Philipose; Matthew Richardson; Charles Sutton (CoRR, 2015)

The Value of Semantic Parse Labeling for Knowledge Base Question Answering. - Wen-tau Yih; Matthew Richardson; Christopher Meek; Ming-Wei Chang; Jina Suh (ACL (2), 2016)

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. - Shengjie Wang; Abdel-rahman Mohamed; Rich Caruana; Jeff A. Bilmes; Matthai Philipose; Matthew Richardson; Krzysztof J. Geras; Gregor Urban; Özlem Aslan (ICML, 2016)

Unifying Logical and Statistical AI. - Pedro M. Domingos; Daniel Lowd; Stanley Kok; Aniruddh Nath; Hoifung Poon; Matthew Richardson; Parag Singla (LICS, 2016)

Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? - Gregor Urban; Krzysztof J. Geras; Samira Ebrahimi Kahou; Özlem Aslan; Shengjie Wang; Rich Caruana; Abdelrahman Mohamed; Matthai Philipose; Matthew Richardson (CoRR, 2016)

Do Deep Convolutional Nets Really Need to be Deep and Convolutional? - Gregor Urban; Krzysztof J. Geras; Samira Ebrahimi Kahou; Özlem Aslan; Shengjie Wang; Abdelrahman Mohamed; Matthai Philipose; Matthew Richardson; Rich Caruana (ICLR (Poster), 2017)

DyNet: The Dynamic Neural Network Toolkit. - Graham Neubig; Chris Dyer; Yoav Goldberg; Austin Matthews; Waleed Ammar; Antonios Anastasopoulos; Miguel Ballesteros; David Chiang 001; Daniel Clothiaux; Trevor Cohn; Kevin Duh; Manaal Faruqui; et al. (CoRR, 2017)

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. - Bailin Wang; Richard Shin; Xiaodong Liu 003; Oleksandr Polozov; Matthew Richardson (ACL, 2020)

Design of a Rigid UWB Log Spiral Antenna for GPR Applications in Harsh Environment. - Matthew Richardson; Chandler J. Bauder; Robab Kazemi; Aly E. Fathy (RWS, 2020)

KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers. - Chia-Hsuan Lee 001; Oleksandr Polozov; Matthew Richardson (ACL/IJCNLP (1), 2021)

Structure-Grounded Pretraining for Text-to-SQL. - Xiang Deng 001; Ahmed Hassan Awadallah; Christopher Meek; Oleksandr Polozov; Huan Sun 001; Matthew Richardson (NAACL-HLT, 2021)

NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction. - Ahmed Elgohary; Christopher Meek; Matthew Richardson; Adam Fourney; Gonzalo A. Ramos; Ahmed Hassan Awadallah (NAACL-HLT, 2021)

Gap Affordance Judgments in Mixed Reality: Testing the Role of Display Weight and Field of View. - Holly C. Gagnon; Yu Zhao 033; Matthew Richardson; Grant D. Pointon; Jeanine K. Stefanucci; Sarah H. Creem-Regehr; Bobby Bodenheimer (Frontiers Virtual Real., 2021)

Optimal LiDAR Data Resolution Analysis for Object Classification. - Marjorie Darrah; Matthew Richardson; Bradley DeRoos; Mitchell Wathen (Sensors, 2022)

A data-driven framework for clinical decision support applied to pneumonia management. - Robert C. Free; Daniel Lozano-Rojas; Matthew Richardson; Julie Skeemer; Leanne Small; Pranabashis Haldar; Gerrit Woltmann (Frontiers Digit. Health, 2023)