Sciweavers

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
EMNLP
2006
13 years 6 months ago
SPMT: Statistical Machine Translation with Syntactified Target Language Phrases
We introduce SPMT, a new class of statistical Translation Models that use Syntactified target language Phrases. The SPMT models outperform a state of the art phrase-based baseline...
Daniel Marcu, Wei Wang, Abdessamad Echihabi, Kevin...
EMNLP
2006
13 years 6 months ago
A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
We describe a probabilistic approach to content selection for meeting summarization. We use skipchain Conditional Random Fields (CRF) to model non-local pragmatic dependencies bet...
Michel Galley
EMNLP
2006
13 years 6 months ago
Protein folding and chart parsing
How can proteins fold so quickly into their unique native structures? We show here that there is a natural analogy between parsing and the protein folding problem, and demonstrate...
Julia Hockenmaier, Aravind K. Joshi, Ken A. Dill