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NAACL
2007
13 years 8 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
NAACL
2007
13 years 8 months ago
A Case For Shorter Queries, and Helping Users Create Them
Information retrieval systems are frequently required to handle long queries. Simply using all terms in the query or relying on the underlying retrieval model to appropriately wei...
Giridhar Kumaran, James Allan
NAACL
2007
13 years 8 months ago
Automatic Acquisition of Grammatical Types for Nouns
The work1 we present here is concerned with the acquisition of deep grammatical information for nouns in Spanish. The aim is to build a learner that can handle noise, but, more in...
Núria Bel, Sergio Espeja, Montserrat Marimo...
NAACL
2007
13 years 8 months ago
Unsupervised Resolution of Objects and Relations on the Web
The task of identifying synonymous relations and objects, or Synonym Resolution (SR), is critical for high-quality information extraction. The bulk of previous SR work assumed str...
Alexander Yates, Oren Etzioni
NAACL
2007
13 years 8 months ago
Multiple Aspect Ranking Using the Good Grief Algorithm
We address the problem of analyzing multiple related opinions in a text. For instance, in a restaurant review such opinions may include food, ambience and service. We formulate th...
Benjamin Snyder, Regina Barzilay