Papers by Matt Schuerman

1 papers
Neural Response Generation with Meta-words (P19-1)

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Challenge: Experimental results show that meta-words can be used to generate open domain dialogues . human-machine conversation is a fundamental problem in NLP .
Approach: They propose a goal-tracking memory network that formalizes meta-word expression as a target in response generation and manages the generation process with a state memory panel and a controller.
Outcome: The proposed model outperforms state-of-the-art generation models in response relevance, response diversity, and accuracy.

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