research
∙
09/15/2023
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue
Evaluating open-domain dialogue systems is challenging for reasons such ...
share
research
∙
07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
research
∙
07/13/2023
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues
Answer selection in open-domain dialogues aims to select an accurate ans...
research
∙
07/08/2023
Answering Ambiguous Questions via Iterative Prompting
In open-domain question answering, due to the ambiguity of questions, mu...
research
∙
05/27/2023
Towards Explainable Conversational Recommender Systems
Explanations in conventional recommender systems have demonstrated benef...
research
∙
05/26/2023
UMSE: Unified Multi-scenario Summarization Evaluation
Summarization quality evaluation is a non-trivial task in text summariza...
research
∙
05/18/2023
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems
Learning reinforcement learning (RL)-based recommenders from historical ...
research
∙
05/17/2023
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
Recent work on knowledge graph completion (KGC) focused on learning embe...
research
∙
05/09/2023
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
Recommender systems that learn from implicit feedback often use large vo...
research
∙
04/19/2023
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Large Language Models (LLMs) have demonstrated a remarkable ability to g...
research
∙
04/10/2023
Generative Knowledge Selection for Knowledge-Grounded Dialogues
Knowledge selection is the key in knowledge-grounded dialogues (KGD), wh...
research
∙
04/09/2023
Learning to Tokenize for Generative Retrieval
Conventional document retrieval techniques are mainly based on the index...
research
∙
03/04/2023
A Self-Correcting Sequential Recommender
Sequential recommendations aim to capture users' preferences from their ...
research
∙
03/02/2023
CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation
Dialogue structure discovery is essential in dialogue generation. Well-s...
research
∙
01/04/2023
Modeling Sequential Recommendation as Missing Information Imputation
Side information is being used extensively to improve the effectiveness ...
research
∙
12/22/2022
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
Conversational recommender systems (CRSs) often utilize external knowled...
research
∙
12/20/2022
Contrastive Learning Reduces Hallucination in Conversations
Pre-trained language models (LMs) store knowledge in their parameters an...
research
∙
12/11/2022
Feature-Level Debiased Natural Language Understanding
Natural language understanding (NLU) models often rely on dataset biases...
research
∙
11/23/2022
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
Knowledge tracing aims to trace students' evolving knowledge states by p...
research
∙
10/16/2022
On the User Behavior Leakage from Recommender System Exposure
Modern recommender systems are trained to predict users potential future...
research
∙
06/24/2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
Learned recommender systems may inadvertently leak information about the...
research
∙
06/15/2022
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective
Modern recommender systems aim to improve user experience. As reinforcem...
research
∙
04/20/2022
Event Transition Planning for Open-ended Text Generation
Open-ended text generation tasks, such as dialogue generation and story ...
research
∙
04/06/2022
Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding
Pre-trained language models (PLM) have demonstrated their effectiveness ...
research
∙
04/02/2022
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
Task-oriented dialogue systems (TDSs) are assessed mainly in an offline ...
research
∙
09/16/2021
Membership Inference Attacks Against Recommender Systems
Recently, recommender systems have achieved promising performances and b...
research
∙
09/01/2021
M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues
Medical dialogue systems (MDSs) aim to assist doctors and patients with ...
research
∙
06/29/2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
Electronic health record (EHR) coding is the task of assigning ICD codes...
research
∙
06/23/2021
Improving Transformer-based Sequential Recommenders through Preference Editing
One of the key challenges in Sequential Recommendation (SR) is how to ex...
research
∙
05/18/2021
Wizard of Search Engine: Access to Information Through Conversations with Search Engines
Conversational information seeking (CIS) is playing an increasingly impo...
research
∙
05/13/2021
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
Contract element extraction (CEE) is the novel task of automatically ide...
research
∙
05/13/2021
Semi-Supervised Variational Reasoning for Medical Dialogue Generation
Medical dialogue generation aims to provide automatic and accurate respo...
research
∙
05/08/2021
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
Evaluation is crucial in the development process of task-oriented dialog...
research
∙
01/18/2021
Abstractive Opinion Tagging
In e-commerce, opinion tags refer to a ranked list of tags provided by t...
research
∙
12/01/2020
Mixed Information Flow for Cross-domain Sequential Recommendations
Cross-domain sequential recommendation is the task of predict the next i...
research
∙
09/21/2020
Empathetic Dialogue Generation via Knowledge Enhancing and Emotion Dependency Modeling
Enabling the machines with empathetic abilities to provide context-consi...
research
∙
05/10/2020
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information
Text summarization is the research area aiming at creating a short and c...
research
∙
04/29/2020
Conversations with Search Engines
In this paper, we address the problem of answering complex information n...
research
∙
02/06/2020
A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation
Unstructured Persona-oriented Dialogue Systems (UPDS) has been demonstra...
research
∙
11/20/2019
EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation
Conventional emotional dialogue system focuses on generating emotion-ric...
research
∙
10/22/2019
From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions
Matrix factorization (MF) techniques have been shown to be effective for...
research
∙
10/06/2019
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations
Sequential Recommendation (SR) has been attracting a growing attention f...
research
∙
10/06/2019
Parallel Segregation-Integration Networks for Shared-account Cross-domain Sequential Recommendations
Sequential Recommendation (SR) has been attracting a growing attention f...
research
∙
08/24/2019
Improving Outfit Recommendation with Co-supervision of Fashion Generation
The task of fashion recommendation includes two main challenges: visual ...
research
∙
01/23/2019
Product-Aware Answer Generation in E-Commerce Question-Answering
In e-commerce portals, generating answers for product-related questions ...
research
∙
12/13/2018
Abstractive Text Summarization by Incorporating Reader Comments
In neural abstractive summarization field, conventional sequence-to-sequ...
research
∙
12/06/2018
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation
Recurrent neural networks for session-based recommendation have attracte...
research
∙
10/24/2018
Dynamic Graph Neural Networks
Graphs, which describe pairwise relations between objects, are essential...
research
∙
08/31/2018
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation
The task of dialogue generation aims to automatically provide responses ...
research
∙
06/23/2018
