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courses:rg:automatic-domain-adaptation-for-parsing1 [2011/09/14 18:40] ramasamy |
courses:rg:automatic-domain-adaptation-for-parsing1 [2011/09/14 18:49] ramasamy |
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| ==== Objective ==== | ==== Objective ==== | ||
| + | The objective of the paper is to make the statistical parsers adapting to new domains. Best parsing model for a particular testing data is identified by combining training data(source mixture) from different domains. This source mixture is learned from a regression model which will identify the appropriate parsing model. | ||
| ===== Comments ===== | ===== Comments ===== | ||
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| * Training and testing were reported in the development set not on the parsing models. | * Training and testing were reported in the development set not on the parsing models. | ||
| * It was noted that the parser has been tested across various domains. | * It was noted that the parser has been tested across various domains. | ||
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| * The idea was to successfully adapt to new domains than to achieve very good accuracy for a particular domain. | * The idea was to successfully adapt to new domains than to achieve very good accuracy for a particular domain. | ||
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| ==== What do we dislike about the paper: ==== | ==== What do we dislike about the paper: ==== | ||
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