122
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ACL
2015
10 years 10 days ago
2015
Distant supervision is a widely applied approach to automatic training of relation extraction systems and has the advantage that it can generate large amounts of labelled data wit...
100
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ACL
2015
10 years 10 days ago
2015
ROVER is a widely used method to combine the output of multiple automatic speech recognition (ASR) systems. Though effective, the basic approach and its variants suffer from poten...
101
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ACL
2015
10 years 10 days ago
2015
Co-Simrank is a useful Simrank-like measure of similarity based on graph structure. The existing method iteratively computes each pair of Co-Simrank score from a dot product of tw...
119
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ACL
2015
10 years 10 days ago
2015
In contrast with traditional relation extraction, which only considers a fixed set of relations, Open Information Extraction (Open IE) aims at extracting all types of relations f...
106
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ACL
2015
10 years 10 days ago
2015
Spoken dialogue systems (SDS) are rapidly appearing in various smart devices (smartphone, smart-TV, in-car navigating system, etc). The key role in a successful SDS is a spoken la...
108
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ACL
2015
10 years 10 days 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...
121
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ACL
2015
10 years 10 days 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
10 years 10 days 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 ...
109
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ACL
2015
10 years 10 days 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...
112
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ACL
2015
10 years 10 days 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...