Sciweavers

ACL
2010
13 years 10 months ago
Hierarchical A* Parsing with Bridge Outside Scores
Hierarchical A (HA) uses of a hierarchy of coarse grammars to speed up parsing without sacrificing optimality. HA prioritizes search in refined grammars using Viterbi outside cost...
Adam Pauls, Dan Klein
ACL
2010
13 years 10 months ago
Simultaneous Tokenization and Part-Of-Speech Tagging for Arabic without a Morphological Analyzer
We describe an approach to simultaneous tokenization and part-of-speech tagging that is based on separating the closed and open-class items, and focusing on the likelihood of the ...
Seth Kulick
ACL
2010
13 years 10 months ago
Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure
Documents often have inherently parallel structure: they may consist of a text and ries, or an abstract and a body, or parts presenting alternative views on the same problem. Reve...
Minwoo Jeong, Ivan Titov
ACL
2010
13 years 10 months ago
The Same-Head Heuristic for Coreference
Micha Elsner, Eugene Charniak
ACL
2010
13 years 10 months ago
Simple Semi-Supervised Training of Part-Of-Speech Taggers
Most attempts to train part-of-speech taggers on a mixture of labeled and unlabeled data have failed. In this work stacked learning is used to reduce tagging to a classification t...
Anders Søgaard
ACL
2010
13 years 10 months ago
Improving Chinese Semantic Role Labeling with Rich Syntactic Features
Developing features has been shown crucial to advancing the state-of-the-art in Semantic Role Labeling (SRL). To improve Chinese SRL, we propose a set of additional features, some...
Weiwei Sun
ACL
2010
13 years 10 months ago
Automatically Generating Annotator Rationales to Improve Sentiment Classification
One of the central challenges in sentimentbased text categorization is that not every portion of a document is equally informative for inferring the overall sentiment of the docum...
Ainur Yessenalina, Yejin Choi, Claire Cardie
ACL
2010
13 years 10 months ago
Preferences versus Adaptation during Referring Expression Generation
Current Referring Expression Generation algorithms rely on domain dependent preferences for both content selection and linguistic realization. We present two experiments showing t...
Martijn Goudbeek, Emiel Krahmer
ACL
2010
13 years 10 months ago
Intelligent Selection of Language Model Training Data
We address the problem of selecting nondomain-specific language model training data to build auxiliary language models for use in tasks such as machine translation. Our approach i...
Robert C. Moore, William Lewis