Matthew Richardson

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 22

Top Topics

Relational Tables

Natural Language Interfaces To Databases

Decision Support

Top Venues

Frontiers Virtual Real.

Publications

Robert C. Free, Daniel Lozano-Rojas, Matthew Richardson, Julie Skeemer, Leanne Small, Pranabashis Haldar, Gerrit Woltmann
A data-driven framework for clinical decision support applied to pneumonia management. Frontiers Digit. Health 5 (2023)
Marjorie Darrah, Matthew Richardson, Bradley DeRoos, Mitchell Wathen
Optimal LiDAR Data Resolution Analysis for Object Classification. Sensors 22 (14) (2022)
Chia-Hsuan Lee, Oleksandr Polozov, Matthew Richardson
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers. ACL/IJCNLP (1) (2021)
Holly C. Gagnon, Yu Zhao, Matthew Richardson, Grant D. Pointon, Jeanine K. Stefanucci, Sarah H. Creem-Regehr, Bobby Bodenheimer
Gap Affordance Judgments in Mixed Reality: Testing the Role of Display Weight and Field of View. Frontiers Virtual Real. 2 (2021)
Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson
Structure-Grounded Pretraining for Text-to-SQL. NAACL-HLT (2021)
Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah
NL-EDIT: Correcting semantic parse errors through natural language interaction. CoRR (2021)
Chia-Hsuan Lee, Oleksandr Polozov, Matthew Richardson
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers. CoRR (2021)
Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah
NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction. NAACL-HLT (2021)
Matthew Richardson, Chandler J. Bauder, Robab Kazemi, Aly E. Fathy
Design of a Rigid UWB Log Spiral Antenna for GPR Applications in Harsh Environment. RWS (2020)
Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. ACL (2020)
Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson
Structure-Grounded Pretraining for Text-to-SQL. CoRR (2020)
Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. CoRR (2019)
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana
Do Deep Convolutional Nets Really Need to be Deep and Convolutional? ICLR (Poster) (2017)
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
DyNet: The Dynamic Neural Network Toolkit. CoRR (2017)
Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh
The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) (2016)
Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson
Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? CoRR (2016)
Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. ICML (2016)
Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
Unifying Logical and Statistical AI. LICS (2016)
Emre Kiciman, Matthew Richardson
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. KDD (2015)
Ryen W. White, Matthew Richardson, Wen-tau Yih
Questions vs. Queries in Informational Search Tasks. WWW (Companion Volume) (2015)
Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Özlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton
Compressing LSTMs into CNNs. CoRR (2015)
Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing, Matthew Richardson
Learning Answer-Entailing Structures for Machine Comprehension. ACL (1) (2015)
Matthew Richardson, Christopher J. C. Burges, Erin Renshaw
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text. EMNLP (2013)
Aniruddh Nath, Matthew Richardson
Counting-MLNs: Learning Relational Structure for Decision Making. AAAI (2012)
Ryen W. White, Matthew Richardson
Effects of expertise differences in synchronous social Q&A. SIGIR (2012)
Stephen Luther, Donald J. Berndt, Dezon Finch, Matthew Richardson, Edward Hickling, David Hickam
Using statistical text mining to supplement the development of an ontology. J. Biomed. Informatics 44 (Supplement-1) (2011)
Ryen W. White, Matthew Richardson, Yandong Liu
Effects of community size and contact rate in synchronous social q&a. CHI (2011)
Pavel Serdyukov, Mike Taylor, Vishwa Vinay, Matthew Richardson, Ryen W. White
Automatic People Tagging for Expertise Profiling in the Enterprise. ECIR (2011)
Mikhail Bilenko, Matthew Richardson
Predictive client-side profiles for personalized advertising. KDD (2011)
Matthew Richardson, Ryen W. White
Supporting synchronous social q&a throughout the question lifecycle. WWW (2011)
Maryam Karimzadehgan, Ryen W. White, Matthew Richardson
Enhancing Expert Finding Using Organizational Hierarchies. ECIR (2009)
Mikhail Bilenko, Evgeniy Gabrilovich, Matthew Richardson, Yi Zhang
Information retrieval and advertising. SIGIR Forum 43 (2) (2009)
Lilyana Mihalkova, Matthew Richardson
Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals. ILP (2009)
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
Catching the drift: learning broad matches from clickthrough data. KDD (2009)
Matthew Richardson
Learning about the world through long-term query logs. ACM Trans. Web 2 (4) (2008)
Ryen W. White, Matthew Richardson, Mikhail Bilenko, Allison P. Heath
Enhancing web search by promoting multiple search engine use. SIGIR (2008)
Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang
Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. SSPR/SPR (2008)
Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
Just Add Weights: Markov Logic for the Semantic Web. URSW (LNCS Vol.) (2008)
Mikhail Bilenko, Ryen W. White, Matthew Richardson, G. Craig Murray
Talking the talk vs. walking the walk: salience of information needs in querying vs. browsing. SIGIR (2008)
Parag Singla, Matthew Richardson
Yes, there is a correlation: - from social networks to personal behavior on the web. WWW (2008)
Matthew Richardson, Ewa Dominowska, Robert Ragno
Predicting clicks: estimating the click-through rate for new ads. WWW (2007)
Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
Unifying Logical and Statistical AI. AAAI (2006)
Randall R. Benson, Matthew Richardson, Douglas H. Whalen, Song Lai
Phonetic processing areas revealed by sinewave speech and acoustically similar non-speech. NeuroImage 31 (1) (2006)
Matthew Richardson, Amit Prakash, Eric Brill
Beyond PageRank: machine learning for static ranking. WWW (2006)
Sue Ellen Hansen, Matthew Richardson
Evaluation of Web Sites: What Works and What Doesn't. IASSIST Conference (2006)
Matthew Richardson, Pedro M. Domingos
Markov logic networks. Mach. Learn. 62 (1-2) (2006)
Pedro M. Domingos, Matthew Richardson
Learning from Networks of Examples. EPIA (2003)
Matthew Richardson, Jeff A. Bilmes, Chris Diorio
Hidden-articulator Markov models for speech recognition. Speech Commun. 41 (2-3) (2003)
Matthew Richardson, Rakesh Agrawal, Pedro M. Domingos
Trust Management for the Semantic Web. ISWC (2003)
Matthew Richardson, Pedro M. Domingos
Building large knowledge bases by mass collaboration. K-CAP (2003)
Matthew Richardson, Pedro M. Domingos
Learning with Knowledge from Multiple Experts. ICML (2003)
Matthew Richardson, Pedro M. Domingos
Mining knowledge-sharing sites for viral marketing. KDD (2002)
Pedro M. Domingos, Matthew Richardson
Mining the network value of customers. KDD (2001)
Matthew Richardson, Pedro M. Domingos
The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank. NIPS (2001)
Matthew Richardson, Jeff A. Bilmes, Chris Diorio
Hidden-articulator Markov models: performance improvements and robustness to noise. INTERSPEECH (2000)
Matthew Richardson, Mei-Yuh Hwang, Alex Acero, Xuedong Huang
Improvements on speech recognition for fast talkers. EUROSPEECH (1999)
K. Mani Chandy, Adam Rifkin, Paolo A. G. Sivilotti, Jacob Mandelson, Matthew Richardson, Wesley Tanaka, Luke Weisman
A World-Wide Distributed System Using Java and the Internet. HPDC (1996)