Crebot: Exploring Interactive Question Prompts for Critical Paper Reading

2022 ◽  
Author(s):  
Zhenhui Peng ◽  
Yuzhi Liu ◽  
Hanqi Zhou ◽  
Zuyu Xu ◽  
Xiaojuan Ma
2014 ◽  
Author(s):  
Rachel M. Calogero ◽  
Usha Tummala-Narra ◽  
Gabriel Twose

Author(s):  
Leanne Bowler

The paper investigates how question prompts might help young people think creatively, critically, metacognitively, and with a sense of social responsibility vis à vis their relationship with the technologies and media that they create in library maker spaces.


Author(s):  
Tianyong Hao ◽  
Feifei Xu ◽  
Jingsheng Lei ◽  
Liu Wenyin ◽  
Qing Li

A strategy of automatic answer retrieval for repeated or similar questions in user-interactive systems by employing semantic question patterns is proposed in this paper. The used semantic question pattern is a generalized representation of a group of questions with both similar structure and relevant semantics. Specifically, it consists of semantic annotations (or constraints) for the variable components in the pattern and hence enhances the semantic representation and greatly reduces the ambiguity of a question instance when asked by a user using such pattern. The proposed method consists of four major steps: structure processing, similar pattern matching and filtering, automatic pattern generation, question similarity evaluation and answer retrieval. Preliminary experiments in a real question answering system show a precision of more than 90% of the method.


Author(s):  
Pierre Andrews ◽  
Silvia Quarteroni

We present the role of conversational agents in two task-oriented human-computer dialogue applications: Interactive Question Answering and Persuasive Dialogue. We show that conversational agents can be effectively deployed for interaction that goes beyond user entertainment and can be successfully used as a means to achieve complex tasks. Conversational agents are a winning solution in Persuasive Dialogue because, combined with a planning infrastructure, they can help manage the parts of the dialogue that cannot be planned a priori and are primordial to keep the system persuasive. In Interactive Question Answering, conversational approaches lead users to the explicit formulation of queries, allow for the submission of further queries and accomodate related queries thanks to their ability to handle context.


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