EMNLP
2010
13 years 2 months ago
2010
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
EMNLP
2010
13 years 2 months ago
2010
Inducing a grammar directly from text is one of the oldest and most challenging tasks in Computational Linguistics. Significant progress has been made for inducing dependency gram...
EMNLP
2010
13 years 2 months ago
2010
Part-of-speech (POS) tag distributions are known to exhibit sparsity -- a word is likely to take a single predominant tag in a corpus. Recent research has demonstrated that incorp...
EMNLP
2010
13 years 2 months ago
2010
The problem of automatically classifying the gender of a blog author has important applications in many commercial domains. Existing systems mainly use features such as words, wor...
EMNLP
2010
13 years 2 months ago
2010
While a significant amount of research has been devoted to textual entailment, automated entailment from conversational scripts has received less attention. To address this limita...
EMNLP
2010
13 years 2 months ago
2010
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
EMNLP
2010
13 years 2 months ago
2010
We show that the standard beam-search algorithm can be used as an efficient decoder for the global linear model of Zhang and Clark (2008) for joint word segmentation and POS-taggi...
EMNLP
2010
13 years 2 months ago
2010
We present a novel approach for (written) dialect identification based on the discriminative potential of entire words. We generate Swiss German dialect words from a Standard Germ...
EMNLP
2010
13 years 2 months ago
2010
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
EMNLP
2010
13 years 2 months ago
2010
The reliable extraction of knowledge from text requires an appropriate treatment of the time at which reported events take place. Unfortunately, there are very few annotated data ...