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Found 4 papers, 2 papers with code
Pseudo Ambiguous and Clarifying Questions Based on Sentence Structures Toward Clarifying Question Answering System
Ambiguous questions are generated by eliminating a part of a sentence considering the sentence structure.
J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution
Understanding expressions that refer to the physical world is crucial for such human-assisting systems in the real world, as robots that must perform actions that are expected by users.
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions
Such ambiguities in questions are often clarified by the contexts in conversational situations, such as joint attention with a user or user gaze information.
Neural Conversation Model Controllable by Given Dialogue Act Based on Adversarial Learning and Label-aware Objective
We introduce an adversarial learning framework for the task of generating conditional responses with a new objective to a discriminator, which explicitly distinguishes sentences by using labels.
