Matthew Richardson

60 papers A* 20A 4B 2Misc 2Journal 16Unranked 13

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A data-driven framework for clinical decision support applied to pneumonia management. Frontiers Digit. Health Robert C. Free, Daniel Lozano-Rojas, Matthew Richardson, Julie Skeemer, Leanne Small, Pranabashis Haldar, Gerrit Woltmann
2022	J	`jnl`	Optimal LiDAR Data Resolution Analysis for Object Classification. Sensors Marjorie Darrah, Matthew Richardson, Bradley DeRoos, Mitchell Wathen
2021	J	`jnl`	Gap Affordance Judgments in Mixed Reality: Testing the Role of Display Weight and Field of View. Frontiers Virtual Real. Holly C. Gagnon, Yu Zhao, Matthew Richardson, Grant D. Pointon, Jeanine K. Stefanucci, Sarah H. Creem-Regehr, Bobby Bodenheimer
2021	—	`conf`	KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers. ACL/IJCNLP (1) Chia-Hsuan Lee, Oleksandr Polozov, Matthew Richardson
2021	J	`jnl`	KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers. CoRR Chia-Hsuan Lee, Oleksandr Polozov, Matthew Richardson
2021	—	`conf`	NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction. NAACL-HLT Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah
2021	J	`jnl`	NL-EDIT: Correcting semantic parse errors through natural language interaction. CoRR Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah
2021	—	`conf`	Structure-Grounded Pretraining for Text-to-SQL. NAACL-HLT Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson
2020	—	`conf`	Design of a Rigid UWB Log Spiral Antenna for GPR Applications in Harsh Environment. RWS Matthew Richardson, Chandler J. Bauder, Robab Kazemi, Aly E. Fathy
2020	A*	`conf`	RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. ACL Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson
2020	J	`jnl`	Structure-Grounded Pretraining for Text-to-SQL. CoRR Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson
2019	J	`jnl`	RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. CoRR Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson
2017	—	`conf`	Do Deep Convolutional Nets Really Need to be Deep and Convolutional? ICLR (Poster) Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana
2017	J	`jnl`	DyNet: The Dynamic Neural Network Toolkit. CoRR 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
2016	A*	`conf`	Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. ICML Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan
2016	J	`jnl`	Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? CoRR Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson
2016	—	`conf`	The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh
2016	A*	`conf`	Unifying Logical and Statistical AI. LICS Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2015	J	`jnl`	Compressing LSTMs into CNNs. CoRR Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Özlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton
2015	—	`conf`	Learning Answer-Entailing Structures for Machine Comprehension. ACL (1) Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing, Matthew Richardson
2015	—	`conf`	Questions vs. Queries in Informational Search Tasks. WWW (Companion Volume) Ryen W. White, Matthew Richardson, Wen-tau Yih
2015	A*	`conf`	Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. KDD Emre Kiciman, Matthew Richardson
2013	A*	`conf`	MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text. EMNLP Matthew Richardson, Christopher J. C. Burges, Erin Renshaw
2012	A*	`conf`	Counting-MLNs: Learning Relational Structure for Decision Making. AAAI Aniruddh Nath, Matthew Richardson
2012	A*	`conf`	Effects of expertise differences in synchronous social Q&A. SIGIR Ryen W. White, Matthew Richardson
2011	A	`conf`	Automatic People Tagging for Expertise Profiling in the Enterprise. ECIR Pavel Serdyukov, Mike Taylor, Vishwa Vinay, Matthew Richardson, Ryen W. White
2011	A*	`conf`	Effects of community size and contact rate in synchronous social q&a. CHI Ryen W. White, Matthew Richardson, Yandong Liu
2011	A*	`conf`	Predictive client-side profiles for personalized advertising. KDD Mikhail Bilenko, Matthew Richardson
2011	A*	`conf`	Supporting synchronous social q&a throughout the question lifecycle. WWW Matthew Richardson, Ryen W. White
2011	J	`jnl`	Using statistical text mining to supplement the development of an ontology. J. Biomed. Informatics Stephen Luther, Donald J. Berndt, Dezon Finch, Matthew Richardson, Edward Hickling, David Hickam
2010	—	`ch.`	Markov Logic: A Language and Algorithms for Link Mining. Link Mining Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2009	A*	`conf`	Catching the drift: learning broad matches from clickthrough data. KDD Sonal Gupta, Mikhail Bilenko, Matthew Richardson
2009	A	`conf`	Enhancing Expert Finding Using Organizational Hierarchies. ECIR Maryam Karimzadehgan, Ryen W. White, Matthew Richardson
2009	J	`jnl`	Information retrieval and advertising. SIGIR Forum Mikhail Bilenko, Evgeniy Gabrilovich, Matthew Richardson, Yi Zhang
2009	B	`conf`	Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals. ILP Lilyana Mihalkova, Matthew Richardson
2008	A*	`conf`	Enhancing web search by promoting multiple search engine use. SIGIR Ryen W. White, Matthew Richardson, Mikhail Bilenko, Allison P. Heath
2008	—	`conf`	Just Add Weights: Markov Logic for the Semantic Web. URSW (LNCS Vol.) Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
2008	J	`jnl`	Learning about the world through long-term query logs. ACM Trans. Web Matthew Richardson
2008	—	`ch.`	Markov Logic. Probabilistic Inductive Logic Programming Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla
2008	—	`conf`	Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. SSPR/SPR Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang
2008	A*	`conf`	Talking the talk vs. walking the walk: salience of information needs in querying vs. browsing. SIGIR Mikhail Bilenko, Ryen W. White, Matthew Richardson, G. Craig Murray
2008	A*	`conf`	Yes, there is a correlation: - from social networks to personal behavior on the web. WWW Parag Singla, Matthew Richardson
2007	A*	`conf`	Predicting clicks: estimating the click-through rate for new ads. WWW Matthew Richardson, Ewa Dominowska, Robert Ragno
2006	A*	`conf`	Beyond PageRank: machine learning for static ranking. WWW Matthew Richardson, Amit Prakash, Eric Brill
2006	—	`conf`	Evaluation of Web Sites: What Works and What Doesn't. IASSIST Conference Sue Ellen Hansen, Matthew Richardson
2006	J	`jnl`	Markov logic networks. Mach. Learn. Matthew Richardson, Pedro M. Domingos
2006	J	`jnl`	Phonetic processing areas revealed by sinewave speech and acoustically similar non-speech. NeuroImage Randall R. Benson, Matthew Richardson, Douglas H. Whalen, Song Lai
2006	A*	`conf`	Unifying Logical and Statistical AI. AAAI Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
2004	—	`ch.`	Combining Link and Content Information in Web Search. Web Dynamics Matthew Richardson, Pedro M. Domingos
2003	B	`conf`	Building large knowledge bases by mass collaboration. K-CAP Matthew Richardson, Pedro M. Domingos
2003	J	`jnl`	Hidden-articulator Markov models for speech recognition. Speech Commun. Matthew Richardson, Jeff A. Bilmes, Chris Diorio
2003	Misc	`conf`	Learning from Networks of Examples. EPIA Pedro M. Domingos, Matthew Richardson
2003	A*	`conf`	Learning with Knowledge from Multiple Experts. ICML Matthew Richardson, Pedro M. Domingos
2003	Misc	`conf`	Trust Management for the Semantic Web. ISWC Matthew Richardson, Rakesh Agrawal, Pedro M. Domingos
2002	A*	`conf`	Mining knowledge-sharing sites for viral marketing. KDD Matthew Richardson, Pedro M. Domingos
2001	A*	`conf`	Mining the network value of customers. KDD Pedro M. Domingos, Matthew Richardson
2001	—	`conf`	The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank. NIPS Matthew Richardson, Pedro M. Domingos
2000	A	`conf`	Hidden-articulator Markov models: performance improvements and robustness to noise. INTERSPEECH Matthew Richardson, Jeff A. Bilmes, Chris Diorio
1999	—	`conf`	Improvements on speech recognition for fast talkers. EUROSPEECH Matthew Richardson, Mei-Yuh Hwang, Alex Acero, Xuedong Huang
1996	A	`conf`	A World-Wide Distributed System Using Java and the Internet. HPDC K. Mani Chandy, Adam Rifkin, Paolo A. G. Sivilotti, Jacob Mandelson, Matthew Richardson, Wesley Tanaka, Luke Weisman