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Justifying recommendations using distantly-labeled reviews and fine-grained aspects
Several recent works have considered the problem of generating reviews (or 'tips') as a form
of explanation as to why a recommendation might match a customer's interests. While …
of explanation as to why a recommendation might match a customer's interests. While …
[HTML][HTML] Learning towards conversational AI: A survey
Recent years have witnessed a surge of interest in the field of open-domain dialogue.
Thanks to the rapid development of social media, large dialogue corpus from the Internet …
Thanks to the rapid development of social media, large dialogue corpus from the Internet …
Improving empathetic response generation by recognizing emotion cause in conversations
Current approaches to empathetic response generation focus on learning a model to predict
an emotion label and generate a response based on this label and have achieved …
an emotion label and generate a response based on this label and have achieved …
Diverse and informative dialogue generation with context-specific commonsense knowledge awareness
Generative dialogue systems tend to produce generic responses, which often leads to
boring conversations. For alleviating this issue, Recent studies proposed to retrieve and …
boring conversations. For alleviating this issue, Recent studies proposed to retrieve and …
[PDF][PDF] Topicka: Generating commonsense knowledge-aware dialogue responses towards the recommended topic fact
Insufficient semantic understanding of dialogue always leads to the appearance of generic
responses, in generative dialogue systems. Recently, highquality knowledge bases have …
responses, in generative dialogue systems. Recently, highquality knowledge bases have …
A dataset for tracking entities in open domain procedural text
We present the first dataset for tracking state changes in procedural text from arbitrary
domains by using an unrestricted (open) vocabulary. For example, in a text describing fog …
domains by using an unrestricted (open) vocabulary. For example, in a text describing fog …