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EMNLP
2008
13 years 9 months ago
Seeded Discovery of Base Relations in Large Corpora
Relationship discovery is the task of identifying salient relationships between named entities in text. We propose novel approaches for two sub-tasks of the problem: identifying t...
Nicholas Andrews, Naren Ramakrishnan
EMNLP
2008
13 years 9 months ago
Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy
In recent years, with the development of Chinese semantically annotated corpus, such as Chinese Proposition Bank and Normalization Bank, the Chinese semantic role labeling (SRL) t...
Weiwei Ding, Baobao Chang
EMNLP
2008
13 years 9 months ago
Stacking Dependency Parsers
We explore a stacked framework for learning to predict dependency structures for natural language sentences. A typical approach in graph-based dependency parsing has been to assum...
André F. T. Martins, Dipanjan Das, Noah A. ...
EMNLP
2008
13 years 9 months ago
Revealing the Structure of Medical Dictations with Conditional Random Fields
Automatic processing of medical dictations poses a significant challenge. We approach the problem by introducing a statistical framework capable of identifying types and boundarie...
Jeremy Jancsary, Johannes Matiasek, Harald Trost
EMNLP
2008
13 years 9 months ago
Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
We describe an approach for acquiring the domain-specific dialog knowledge required to configure a task-oriented dialog system that uses human-human interaction data. The key aspe...
Ananlada Chotimongkol, Alexander I. Rudnicky
EMNLP
2008
13 years 9 months ago
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
Markos Mylonakis, Khalil Sima'an
EMNLP
2008
13 years 9 months ago
Bayesian Unsupervised Topic Segmentation
This paper describes a novel Bayesian approach to unsupervised topic segmentation. Unsupervised systems for this task are driven by lexical cohesion: the tendency of wellformed se...
Jacob Eisenstein, Regina Barzilay
EMNLP
2008
13 years 9 months ago
Improving Interactive Machine Translation via Mouse Actions
Although Machine Translation (MT) is a very active research field which is receiving an increasing amount of attention from the research community, the results that current MT sys...
Germán Sanchis-Trilles, Daniel Ortiz-Mart&i...
EMNLP
2008
13 years 9 months ago
Better Binarization for the CKY Parsing
We present a study on how grammar binarization empirically affects the efficiency of the CKY parsing. We argue that binarizations affect parsing efficiency primarily by affecting ...
Xinying Song, Shilin Ding, Chin-Yew Lin
EMNLP
2008
13 years 9 months ago
Learning to Predict Code-Switching Points
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
Thamar Solorio, Yang Liu