101
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ACL
2015
9 years 11 months ago
2015
In this paper, we first explore the role of inter-annotator agreement statistics in grammatical error correction and conclude that they are less informative in fields where ther...
113
Voted
ACL
2015
9 years 11 months ago
2015
This paper addresses a novel task of semantically analyzing the comparative constructions inherent in attributive superlative expressions against structured knowledge bases (KBs)....
ACL
2015
9 years 11 months ago
2015
Expert finding on social media benefits both individuals and commercial services. In this paper, we exploit a 5-level tree representation to model the posts on social media and ...
101
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ACL
2015
9 years 11 months ago
2015
Compared to the categorical approach that represents affective states as several discrete classes (e.g., positive and negative), the dimensional approach represents affective stat...
105
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ACL
2015
9 years 11 months ago
2015
We present structured perceptron training for neural network transition-based dependency parsing. We learn the neural network representation using a gold corpus augmented by a lar...
104
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ACL
2015
9 years 11 months ago
2015
Measuring word relatedness is an important ingredient of many NLP applications. Several datasets have been developed in order to evaluate such measures. The main drawback of exist...
102
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ACL
2015
9 years 11 months ago
2015
The ability to map descriptions of scenes to 3D geometric representations has many applications in areas such as art, education, and robotics. However, prior work on the text to 3...
ACL
2015
9 years 11 months ago
2015
The performance of discriminative constituent parsing relies crucially on feature engineering, and effective features usually have to be carefully selected through a painful manua...
111
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ACL
2015
9 years 11 months ago
2015
We present paired learning and inference algorithms for significantly reducing computation and increasing speed of the vector dot products in the classifiers that are at the hea...
111
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ACL
2015
9 years 11 months ago
2015
How do we build a semantic parser in a new domain starting with zero training examples? We introduce a new methodology for this setting: First, we use a simple grammar to generate...