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» Unsupervised Natural Language Processing Using Graph Models
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EMNLP
2010
15 years 3 days ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
157
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ACL
2011
14 years 5 months ago
Gappy Phrasal Alignment By Agreement
We propose a principled and efficient phraseto-phrase alignment model, useful in machine translation as well as other related natural language processing problems. In a hidden se...
Mohit Bansal, Chris Quirk, Robert C. Moore
ICALP
2000
Springer
15 years 5 months ago
Formalizing the Development of Agent-Based Systems Using Graph Processes
Graph processes are used in order to formalize the relation between global requirement specifications of multi-agent systems by means of message sequence charts, and implementatio...
Ralph Depke, Reiko Heckel
EMNLP
2011
14 years 1 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
NLDB
2000
Springer
15 years 5 months ago
Natural Language Analysis for Semantic Document Modeling
To ease the retrieval of documents published on the Web, the documents should be classified in a way that users find helpful and meaningful. This paper presents an approach to sema...
Terje Brasethvik, Jon Atle Gulla