Matthew Richardson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
17
Active years
1996–2021
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | ACL | KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers. | Chia-Hsuan Lee, Oleksandr Polozov, Matthew Richardson |
| 2021 | NAACL | Structure-Grounded Pretraining for Text-to-SQL. | Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, Oleksandr Polozov, Huan Sun, Matthew Richardson |
| 2021 | NAACL | NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction. | Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo A. Ramos, Ahmed Hassan Awadallah |
| 2020 | ACL | RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. | Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson |
| 2017 | ICLR | Do Deep Convolutional Nets Really Need to be Deep and Convolutional? | Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, zlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana |
| 2016 | ACL | The Value of Semantic Parse Labeling for Knowledge Base Question Answering. | Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh |
| 2016 | ICML | 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, zlem Aslan |
| 2016 | LICS | Unifying Logical and Statistical AI. | Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla |
| 2015 | ACL | Learning Answer-Entailing Structures for Machine Comprehension. | Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing, Matthew Richardson |
| 2015 | KDD | Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. | Emre Kiciman, Matthew Richardson |
| 2015 | WWW | Questions vs. Queries in Informational Search Tasks. | Ryen W. White, Matthew Richardson, Wen-tau Yih |
| 2013 | EMNLP | MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text. | Matthew Richardson, Christopher J. C. Burges, Erin Renshaw |
| 2012 | AAAI | Counting-MLNs: Learning Relational Structure for Decision Making. | Aniruddh Nath, Matthew Richardson |
| 2012 | SIGIR | Effects of expertise differences in synchronous social Q&A. | Ryen W. White, Matthew Richardson |
| 2011 | CHI | Effects of community size and contact rate in synchronous social q&a. | Ryen W. White, Matthew Richardson, Yandong Liu |
| 2011 | ECIR | Automatic People Tagging for Expertise Profiling in the Enterprise. | Pavel Serdyukov, Mike Taylor, Vishwa Vinay, Matthew Richardson, Ryen W. White |
| 2011 | KDD | Predictive client-side profiles for personalized advertising. | Mikhail Bilenko, Matthew Richardson |
| 2011 | WWW | Supporting synchronous social q&a throughout the question lifecycle. | Matthew Richardson, Ryen W. White |
| 2009 | ECIR | Enhancing Expert Finding Using Organizational Hierarchies. | Maryam Karimzadehgan, Ryen W. White, Matthew Richardson |
| 2009 | ILP | Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals. | Lilyana Mihalkova, Matthew Richardson |
| 2009 | KDD | Catching the drift: learning broad matches from clickthrough data. | Sonal Gupta, Mikhail Bilenko, Matthew Richardson |
| 2008 | WWW | Yes, there is a correlation: - from social networks to personal behavior on the web. | Parag Singla, Matthew Richardson |
| 2008 | SIGIR | 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 |
| 2008 | SIGIR | Enhancing web search by promoting multiple search engine use. | Ryen W. White, Matthew Richardson, Mikhail Bilenko, Allison P. Heath |
| 2008 | SSPR | 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 |
| 2007 | WWW | Predicting clicks: estimating the click-through rate for new ads. | Matthew Richardson, Ewa Dominowska, Robert Ragno |
| 2006 | AAAI | Unifying Logical and Statistical AI. | Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla |
| 2006 | WWW | Beyond PageRank: machine learning for static ranking. | Matthew Richardson, Amit Prakash, Eric Brill |
| 2003 | EPIA | Learning from Networks of Examples. | Pedro M. Domingos, Matthew Richardson |
| 2003 | ICML | Learning with Knowledge from Multiple Experts. | Matthew Richardson, Pedro M. Domingos |
| 2002 | KDD | Mining knowledge-sharing sites for viral marketing. | Matthew Richardson, Pedro M. Domingos |
| 2001 | KDD | Mining the network value of customers. | Pedro M. Domingos, Matthew Richardson |
| 2000 | Interspeech | Hidden-articulator Markov models: performance improvements and robustness to noise. | Matthew Richardson, Jeff A. Bilmes, Chris Diorio |
| 1999 | Interspeech | Improvements on speech recognition for fast talkers. | Matthew Richardson, Mei-Yuh Hwang, Alex Acero, Xuedong Huang |
| 1996 | HPDC | 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 |