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- Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
- HLT-NAACL Demos
- 2016
Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if… (More)
- Andrew McCallum, Karl Schultz, Sameer Singh
- NIPS
- 2009
Discriminatively trained undirected graphical models have had wide empirical success, and there has been increasing interest in toolkits that ease their application to complex relational data. The… (More)
Cross-document coreference resolution is the task of grouping the entity mentions in a collection of documents into sets that each represent a distinct entity. It is central to knowledge base… (More)
Cross-document coreference, the task of grouping all the mentions of each entity in a document collection, arises in information extraction and automated knowledge base construction. For large… (More)
- Xiao Ling, Sameer Singh, Daniel S. Weld
- TACL
- 2015
Recent research on entity linking (EL) has introduced a plethora of promising techniques, ranging from deep neural networks to joint inference. But despite numerous papers there is surprisingly… (More)
- Tim Rocktäschel, Sameer Singh, Sebastian Riedel
- HLT-NAACL
- 2015
Matrix factorization approaches to relation extraction provide several attractive features: they support distant supervision, handle open schemas, and leverage unlabeled data. Unfortunately, these… (More)
- Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
- ArXiv
- 2016
Understanding why machine learning models behave the way they do empowers both system designers and end-users in many ways: in model selection, feature engineering, in order to trust and act upon the… (More)
In this paper we examine the problem of efficient feature evaluation for logistic regression on very large data sets. We present a new forward feature selection heuristic that ranks features by their… (More)
- Michael L. Wick, Sameer Singh, Andrew McCallum
- ACL
- 2012
Methods that measure compatibility between mention pairs are currently the dominant approach to coreference. However, they suffer from a number of drawbacks including difficulties scaling to large… (More)
- Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin
- AAAI
- 2018
We introduce a novel model-agnostic system that explains the behavior of complex models with high-precision rules called anchors, representing local, “sufficient” conditions for predictions. We… (More)