research
∙
09/05/2023
Dialog Action-Aware Transformer for Dialog Policy Learning
Recent works usually address Dialog policy learning DPL by training a re...
share
research
∙
09/01/2023
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning
Dialogue policy learning (DPL) is a crucial component of dialogue modell...
research
∙
07/17/2023
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation
Automatic diagnosis (AD), a critical application of AI in healthcare, em...
research
∙
05/25/2023
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation
Prior study has shown that pretrained language models (PLM) can boost th...
research
∙
05/22/2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
Generating persona consistent dialogue response is important for develop...
research
∙
05/11/2023
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment
Recent legislation of the "right to be forgotten" has led to the interes...
research
∙
02/27/2023
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation
Conversational tutoring systems (CTSs) aim to help students master educa...
research
∙
10/11/2022
DIGAT: Modeling News Recommendation with Dual-Graph Interaction
News recommendation (NR) is essential for online news services. Existing...
research
∙
09/23/2022
Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge
Conversational Recommender Systems (CRS) has become an emerging research...
research
∙
02/28/2022
A Survey on Recent Advances and Challenges in Reinforcement LearningMethods for Task-Oriented Dialogue Policy Learning
Dialogue Policy Learning is a key component in a task-oriented dialogue ...
research
∙
11/02/2021
Integrating Pretrained Language Model for Dialogue Policy Learning
Reinforcement Learning (RL) has been witnessed its potential for trainin...
research
∙
10/14/2021
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph
In this paper, we present a pre-trained language model (PLM) based frame...
research
∙
10/13/2021
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning
Standard few-shot relation classification (RC) is designed to learn a ro...
research
∙
09/11/2021
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning
Few-shot slot tagging is an emerging research topic in the field of Natu...
research
∙
09/11/2021
TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue System
A multi-turn dialogue always follows a specific topic thread, and topic ...
research
∙
09/05/2021
Re-entry Prediction for Online Conversations via Self-Supervised Learning
In recent years, world business in online discussions and opinion sharin...
research
∙
09/02/2021
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding
Automatic news recommendation has gained much attention from the academi...
research
∙
08/26/2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
Meta-learning is widely used for few-shot slot tagging in the task of fe...
research
∙
06/18/2021
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations
Quotations are crucial for successful explanations and persuasions in in...
research
∙
05/29/2021
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations
To help individuals express themselves better, quotation recommendation ...
research
∙
11/17/2020
KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System
Compared with CrossWOZ (Chinese) and MultiWOZ (English) dataset which ha...
research
∙
04/22/2020
Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems
In task-oriented dialogue systems, Dialogue State Tracking (DST) is a co...
research
∙
06/04/2019
Joint Effects of Context and User History for Predicting Online Conversation Re-entries
As the online world continues its exponential growth, interpersonal comm...
research
∙
09/11/2018
A Joint Model of Conversational Discourse and Latent Topics on Microblogs
Conventional topic models are ineffective for topic extraction from micr...
research
∙
01/18/2018
Integrating planning for task-completion dialogue policy learning
Training a task-completion dialogue agent with real users via reinforcem...
research
∙
10/31/2017
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning
This paper presents a new method --- adversarial advantage actor-critic ...
research
∙
04/10/2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Building a dialogue agent to fulfill complex tasks, such as travel plann...
research
∙
06/03/2016
An Attentional Neural Conversation Model with Improved Specificity
In this paper we propose a neural conversation model for conducting dial...
research
∙
08/22/2015
Towards Neural Network-based Reasoning
We propose Neural Reasoner, a framework for neural network-based reasoni...
research
∙
01/30/2013