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120
Voted
VL
2010
IEEE
15 years 1 months ago
2010
IEEE
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a generat...
133
Voted
EMNLP
2010
15 years 19 days ago
2010
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...
112
Voted
ACL
2009
15 years 14 days ago
2009
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
111
Voted
EMNLP
2009
15 years 13 days ago
2009
Measuring the similarity between two texts is a fundamental problem in many NLP and IR applications. Among the existing approaches, the cosine measure of the term vectors represen...
143
Voted
ACL
2012
13 years 5 months ago
2012
Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...