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- Hoifung Poon, Pedro M. Domingos
- 2011 IEEE International Conference on Computerâ€¦
- 2011

The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under which the partitionâ€¦ (More)

- Hoifung Poon, Pedro M. Domingos
- AAAI
- 2006

Reasoning with both probabilistic and deterministic depen dencies is important for many real-world problems, and in particular for the emerging field of statistical relational learning. However,â€¦ (More)

- Hoifung Poon, Pedro M. Domingos
- AAAI
- 2007

The goal of information extraction is to extract database records from text or semi-structured sources. Traditional ly, information extraction proceeds by first segmenting each ca ndidate recordâ€¦ (More)

Models that learn to represent textual and knowledge base relations in the same continuous latent space are able to perform joint inferences among the two kinds of relations and obtain high accuracyâ€¦ (More)

- Hoifung Poon, Pedro M. Domingos
- EMNLP
- 2009

We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, recursively inducesâ€¦ (More)

- Hoifung Poon, Colin Cherry, Kristina Toutanova
- HLT-NAACL
- 2009

Morphological segmentation breaks words into morphemes (the basic semantic units). It is a key component for natural language processing systems. Unsupervised morphological segmentation isâ€¦ (More)

- Hoifung Poon, Pedro M. Domingos
- EMNLP
- 2008

Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi and Klein (2007)),â€¦ (More)

- Pedro M. Domingos, Daniel Lowd, +4 authors Parag Singla
- LICS
- 2006

Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov logic combines theâ€¦ (More)

- Hoifung Poon, Pedro M. Domingos, Marc Sumner
- AAAI
- 2008

Many real-world problems are characterized by complex rela tional structure, which can be succinctly represented in fir storder logic. However, many relational inference algorithm s proceed by firstâ€¦ (More)

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

Most real-world machine learning problems have both statistical and relational aspects. Thus learners need representations that combine probability and relational logic. Markov logic accomplishesâ€¦ (More)