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ACL
2009
15 years 5 months ago
Reinforcement Learning for Mapping Instructions to Actions
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...
S. R. K. Branavan, Harr Chen, Luke S. Zettlemoyer,...
EMNLP
2009
15 years 5 months ago
Learning Term-weighting Functions for Similarity Measures
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...
Wen-tau Yih
ACL
2012
13 years 9 months ago
Prediction of Learning Curves in Machine Translation
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...
Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...
ICCBR
2005
Springer
16 years 24 days ago
Opportunities for CBR in Learning by Doing
In this paper we partially describe JV2 M, a metaphorical simulation of the Java Virtual Machine where students can learn Java language compilation and reinforce object-oriented pr...
Pedro Pablo Gómez-Martín, Marco Anto...
IJCNLP
2005
Springer
16 years 24 days ago
Heuristic Methods for Reducing Errors of Geographic Named Entities Learned by Bootstrapping
Abstract. One of issues in the bootstrapping for named entity recognition is how to control annotation errors introduced at every iteration. In this paper, we present several heuri...
Seungwoo Lee, Gary Geunbae Lee