Sciweavers

EMNLP
2006
13 years 6 months ago
Sentence ordering with manifold-based classification in multi-document summarization
In this paper, we propose a sentence ordering algorithm using a semi-supervised sentence classification and historical ordering strategy. The classification is based on the manifo...
Paul D. Ji, Stephen G. Pulman
EMNLP
2006
13 years 6 months ago
Better Informed Training of Latent Syntactic Features
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP withou...
Markus Dreyer, Jason Eisner
EMNLP
2006
13 years 6 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova
EMNLP
2006
13 years 6 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
EMNLP
2006
13 years 6 months ago
Fully Automatic Lexicon Expansion for Domain-oriented Sentiment Analysis
This paper proposes an unsupervised lexicon building method for the detection of polar clauses, which convey positive or negative aspects in a specific domain. The lexical entries...
Hiroshi Kanayama, Tetsuya Nasukawa
EMNLP
2006
13 years 6 months ago
Inducing Temporal Graphs
We consider the problem of constructing a directed acyclic graph that encodes temporal relations found in a text. The unit of our analysis is a temporal segment, a fragment of tex...
Philip Bramsen, Pawan Deshpande, Yoong Keok Lee, R...
EMNLP
2006
13 years 6 months ago
Distributional measures of concept-distance: A task-oriented evaluation
We propose a framework to derive the distance between concepts from distributional measures of word co-occurrences. We use the categories in a published thesaurus as coarse-graine...
Saif Mohammad, Graeme Hirst
EMNLP
2006
13 years 6 months ago
Automatically Assessing Review Helpfulness
User-supplied reviews are widely and increasingly used to enhance ecommerce and other websites. Because reviews can be numerous and varying in quality, it is important to assess h...
Soo-Min Kim, Patrick Pantel, Timothy Chklovski, Ma...
EMNLP
2006
13 years 6 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira