EMNLP
2009
13 years 10 months ago
2009
Traditional learning-based coreference resolvers operate by training a mentionpair classifier for determining whether two mentions are coreferent or not. Two independent lines of ...
EMNLP
2009
13 years 10 months ago
2009
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
EMNLP
2009
13 years 10 months ago
2009
This paper investigates the effect of direction in phrase-based statistial machine translation decoding. We compare a typical phrase-based machine translation decoder using a left...
EMNLP
2009
13 years 10 months ago
2009
This paper introduces a new parser evaluation corpus containing around 700 sentences annotated with unbounded dependencies, from seven different grammatical constructions. We run ...
EMNLP
2009
13 years 10 months ago
2009
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
EMNLP
2009
13 years 10 months ago
2009
In this paper, we present a novel approach for mining opinions from product reviews, where it converts opinion mining task to identify product features, expressions of opinions an...
EMNLP
2009
13 years 10 months ago
2009
The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search r...
EMNLP
2009
13 years 10 months ago
2009
This paper presents an investigation of the relation between words and their gender in two gendered languages: German and Romanian. Gender is an issue that has long preoccupied li...
EMNLP
2009
13 years 10 months ago
2009
We extend previous work on fully unsupervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we address the problem of choosing...
EMNLP
2009
13 years 10 months ago
2009
Tree Adjoining Grammars have well-known advantages, but are typically considered too difficult for practical systems. We demonstrate that, when done right, adjoining improves tran...