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133
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EMNLP
2010
15 years 22 days ago
Improved Fully Unsupervised Parsing with Zoomed Learning
We introduce a novel training algorithm for unsupervised grammar induction, called Zoomed Learning. Given a training set T and a test set S, the goal of our algorithm is to identi...
Roi Reichart, Ari Rappoport
138
Voted
EMNLP
2010
15 years 22 days ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
115
Voted
ACL
1998
15 years 4 months ago
Part of Speech Tagging Using a Network of Linear Separators
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...
Dan Roth, Dmitry Zelenko
124
Voted
CICLING
2003
Springer
15 years 8 months ago
Sentence Co-occurrences as Small-world Graphs: A Solution to Automatic Lexical Disambiguation
This paper presents a graph-theoretical approach to lexical disambiguation on word co-occurrences. Producing a dictionary similar to WordNet, this method is the counterpart to word...
Stefan Bordag
135
Voted
PPOPP
2005
ACM
15 years 8 months ago
A linear-time algorithm for optimal barrier placement
We want to perform compile-time analysis of an SPMD program and place barriers in it to synchronize it correctly, minimizing the runtime cost of the synchronization. This is the b...
Alain Darte, Robert Schreiber