Papers with Distributed word representation

1 papers
Task-oriented Word Embedding for Text Classification (C18-1)

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Challenge: Existing word embeddings only consider contextual information, which is suboptimal when used in various tasks due to a lack of task-specific features.
Approach: They propose a task-oriented word embedding method that regularizes the distribution of words to enable a clear classification boundary.
Outcome: The proposed method outperforms the state-of-the-art methods on a text classification task.

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