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» How Much Can We Gain from Supervised Word Alignment
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IAT
2010
IEEE
13 years 8 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
COLING
2008
13 years 11 months ago
Extracting Synchronous Grammar Rules From Word-Level Alignments in Linear Time
We generalize Uno and Yagiura's algorithm for finding all common intervals of two permutations to the setting of two sequences with many-to-many alignment links across the tw...
Hao Zhang, Daniel Gildea, David Chiang
ACL
2007
13 years 11 months ago
Guiding Statistical Word Alignment Models With Prior Knowledge
We present a general framework to incorporate prior knowledge such as heuristics or linguistic features in statistical generative word alignment models. Prior knowledge plays a ro...
Yonggang Deng, Yuqing Gao
CIBCB
2007
IEEE
14 years 4 months ago
Overestimation for Multiple Sequence Alignment
Abstract— Multiple sequence alignment is an important problem in computational biology. A-star is an algorithm that can be used to find exact alignments. We present a simple mod...
Tristan Cazenave
COLING
2008
13 years 11 months ago
From Words to Senses: A Case Study of Subjectivity Recognition
We determine the subjectivity of word senses. To avoid costly annotation, we evaluate how useful existing resources established in opinion mining are for this task. We show that r...
Fangzhong Su, Katja Markert