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ACL
2009
13 years 7 months ago
Application-driven Statistical Paraphrase Generation
Paraphrase generation (PG) is important in plenty of NLP applications. However, the research of PG is far from enough. In this paper, we propose a novel method for statistical par...
Shiqi Zhao, Xiang Lan, Ting Liu, Sheng Li
ACL
2009
13 years 7 months ago
Improving Tree-to-Tree Translation with Packed Forests
Current tree-to-tree models suffer from parsing errors as they usually use only 1best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model...
Yang Liu, Yajuan Lü, Qun Liu
ACL
2009
13 years 7 months ago
Summarizing multiple spoken documents: finding evidence from untranscribed audio
This paper presents a model for summarizing multiple untranscribed spoken documents. Without assuming the availability of transcripts, the model modifies a recently proposed unsup...
Xiaodan Zhu, Gerald Penn, Frank Rudzicz
ACL
2009
13 years 7 months ago
Learning with Annotation Noise
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
Eyal Beigman, Beata Beigman Klebanov
ACL
2009
13 years 7 months ago
Joint Decoding with Multiple Translation Models
Current SMT systems usually decode with single translation models and cannot benefit from the strengths of other models in decoding phase. We instead propose joint decoding, a met...
Yang Liu, Haitao Mi, Yang Feng, Qun Liu