Difference between revisions of "Bo Pang Sujith Ravi 2012 Revisiting the Predictability of Language: Response Completion in Social Media"
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== Summary == | == Summary == | ||
| − | + | This paper propose a method for automatic response completion by considering mainly two factors: | |
1) The language used in responses (By using Language Model[LM](bigram model & trigram model(both back-off to unigram))) | 1) The language used in responses (By using Language Model[LM](bigram model & trigram model(both back-off to unigram))) | ||
2) The specific context provided by the original message. | 2) The specific context provided by the original message. | ||
Revision as of 20:14, 26 September 2012
Contents
Citation
Revisiting the Predictability of Language: Response Completion in Social Media, Bo Pang Sujith Ravi, EMNLP 2012
Online version
An online pdf version is here[1]
Summary
This paper propose a method for automatic response completion by considering mainly two factors: 1) The language used in responses (By using Language Model[LM](bigram model & trigram model(both back-off to unigram))) 2) The specific context provided by the original message. [TM]Besides using methods In Ritter et. al 2010, Data-Driven Response Generation in Social Media, which is to use a translation model to do alignment between stimulus(source) and the response(target). [IBM-Model1]
