Pretraining the noisy channel model for task-oriented dialogue
Direct decoding for task-oriented dialogue is known to suffer from the explaining-away effect,
manifested in models that prefer short and generic responses. Here we argue for the use of …
manifested in models that prefer short and generic responses. Here we argue for the use of …
Dialog Acts for Task-Driven Embodied Agents
Embodied agents need to be able to interact in natural language understanding task
descriptions and asking appropriate follow up questions to obtain necessary information to …
descriptions and asking appropriate follow up questions to obtain necessary information to …
Quotation recommendation for multi-party online conversations based on semantic and topic fusion
Quotations are crucial for successful explanations and persuasions in interpersonal
communications. However, finding what to quote in a conversation is challenging for …
communications. However, finding what to quote in a conversation is challenging for …
Modeling global and local interactions for online conversation recommendation
The popularity of social media platforms results in a huge volume of online conversations
produced every day. To help users better engage in online conversations, this article …
produced every day. To help users better engage in online conversations, this article …
Information seeking in the spirit of learning: A dataset for conversational curiosity
Open-ended human learning and information-seeking are increasingly mediated by digital
assistants. However, such systems often ignore the user's pre-existing knowledge …
assistants. However, such systems often ignore the user's pre-existing knowledge …
GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment
Y Liu, J Han, A Sboev, I Makarov - Expert Systems with Applications, 2024 - Elsevier
Assessing students' writing ability has always been an important component of research on
automatic essay evaluation. The existing methods usually focus on outputting numerical …
automatic essay evaluation. The existing methods usually focus on outputting numerical …
A background knowledge revising and incorporating dialogue model
Currently, dialogue systems have attracted increasing research interest. In particular,
background knowledge is incorporated to improve the performance of dialogue systems …
background knowledge is incorporated to improve the performance of dialogue systems …
I Know Your Feelings Before You Do: Predicting Future Affective Reactions in Human-Computer Dialogue
Current Spoken Dialogue Systems (SDSs) often serve as passive listeners that respond only
after receiving user speech. To achieve human-like dialogue, we propose a novel future …
after receiving user speech. To achieve human-like dialogue, we propose a novel future …
Personality-aware natural language generation for task-oriented dialogue using reinforcement learning
A task-oriented dialogue system capable of expressing personality can improve user
engagement and satisfaction. To realize such a system, this paper presents a method of …
engagement and satisfaction. To realize such a system, this paper presents a method of …
Successful new-entry prediction for multi-party online conversations via latent topics and discourse modeling
With the increasing popularity of social media, online interpersonal communication now
plays an essential role in people's everyday information exchange. Whether and how a …
plays an essential role in people's everyday information exchange. Whether and how a …