124
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ACL
2012
13 years 6 months ago
2012
We present IlluMe, a software tool pack which creates a personalized ambient using the music and lighting. IlluMe includes an emotion analysis software, the small space ambient li...
146
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ACL
2012
13 years 6 months ago
2012
In this paper, we present an unsupervized segmentation system tested on Mandarin Chinese. Following Harris's Hypothesis in Kempe (1999) and Tanaka-Ishii's (2005) reformu...
145
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ACL
2012
13 years 6 months ago
2012
The integration of multiword expressions in a parsing procedure has been shown to improve accuracy in an artiļ¬cial context where such expressions have been perfectly pre-identiļ...
143
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ACL
2012
13 years 6 months ago
2012
Microblogs such as Twitter reļ¬ect the general publicās reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Al...
155
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ACL
2012
13 years 6 months ago
2012
Polarity classiļ¬cation of words is important for applications such as Opinion Mining and Sentiment Analysis. A number of sentiment word/sense dictionaries have been manually or ...
141
click to vote
ACL
2012
13 years 6 months ago
2012
We address a core aspect of the multilingual content synchronization task: the identiļ¬cation of novel, more informative or semantically equivalent pieces of information in two d...
133
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ACL
2012
13 years 6 months ago
2012
We propose a novel heuristic algorithm for Cube Pruning running in linear time in the beam size. Empirically, we show a gain in running time of a standard machine translation syst...
147
click to vote
ACL
2012
13 years 6 months ago
2012
We present novel metrics for parse evaluation in joint segmentation and parsing scenarios where the gold sequence of terminals is not known in advance. The protocol uses distance-...
144
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ACL
2012
13 years 6 months ago
2012
Previous work using topic model for statistical machine translation (SMT) explore topic information at the word level. However, SMT has been advanced from word-based paradigm to p...
126
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ACL
2012
13 years 6 months ago
2012
This paper presents a novel way of improving POS tagging on heterogeneous data. First, two separate models are trained (generalized and domain-speciļ¬c) from the same data set by...