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This paper explores methods for increasing performance of CRF models, with a particular concern for transfer learning. We consider in particular the transfer case from political news to hard-to-tag business …...

. In this paper, we focus on the task of distilling relation instances from the Web. Most of the approaches for this task were based on provided seed instances or …...

In current dependency parsing models, con- ventional features (i.e. base features) defined over surface words and part-of-speech tags in a relatively high-dimensional feature space may suffer from the data sparseness …...

In this paper, we study the task of product record linkage across multiple e-commerce web- sites. We solve this task via a semi-supervised approach and adopt the self-training algorithm for …...

We present a semi-supervised approach to improve dependency parsing accuracy by using bilexical statistics derived from auto-parsed data. The method is based on estimating the attachment potential of head-modifier words, …...

Dropped Pronouns (DP) in which pronouns are frequently dropped in the source language but should be retained in the target language are challenge in machine translation. In re- sponse to …...

We introduce a simple semi-supervised ap- proach to improve implicit discourse relation identification. This approach harnesses large amounts of automatically extracted discourse connectives along with their arguments to con- struct …...

We present a novel semi-supervised approach for sequence transduction and apply it to se- mantic parsing. The unsupervised component is based on a generative model in which latent sentences generate …...

AbstractWhile the disfluency detection has achieved notable success in the past years, it still severely suffers from the data scarcity. To tackle this problem, we propose a novel semi-supervised approach …...

AbstractLabeling large amounts of extractive summarization data is often prohibitive expensive due to time, financial, and expertise constraints, which poses great challenges to incorporating summarization system in practical applications. This …...