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NAACL
2010
14 years 8 months ago
Crowdsourcing the evaluation of a domain-adapted named entity recognition system
Named entity recognition systems sometimes have difficulty when applied to data from domains that do not closely match the training data. We first use a simple rule-based techniqu...
Asad B. Sayeed, Timothy J. Meyer, Hieu C. Nguyen, ...
NAACL
2010
14 years 8 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
NAACL
2010
14 years 8 months ago
Discriminative Learning over Constrained Latent Representations
This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) dec...
Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Sr...
NAACL
2010
14 years 8 months ago
Utility Evaluation of Cross-document Information Extraction
We describe a utility evaluation to determine whether cross-document information extraction (IE) techniques measurably improve user performance in news summary writing. Two groups...
Heng Ji, Zheng Chen, Jonathan Feldman, Antonio Gon...
NAACL
2010
14 years 8 months ago
Bayesian Inference for Finite-State Transducers
We describe a Bayesian inference algorithm that can be used to train any cascade of weighted finite-state transducers on end-toend data. We also investigate the problem of automat...
David Chiang, Jonathan Graehl, Kevin Knight, Adam ...