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09/16/2023
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals
Recently, the development of large language models (LLMs) has been signi...
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08/17/2023
Building Emotional Support Chatbots in the Era of LLMs
The integration of emotional support into various conversational scenari...
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05/22/2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
Generating persona consistent dialogue response is important for develop...
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05/17/2023
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations
Unlike empathetic dialogues, the system in emotional support conversatio...
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05/04/2023
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects
Proactive dialogue systems, related to a wide range of real-world conver...
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02/16/2023
Product Question Answering in E-Commerce: A Survey
Product question answering (PQA), aiming to automatically provide instan...
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01/31/2023
Deep Active Learning for Scientific Computing in the Wild
Deep learning (DL) is revolutionizing the scientific computing community...
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10/17/2022
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks
Span Identification (SpanID) is a family of NLP tasks that aims to detec...
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10/17/2022
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance
To facilitate conversational question answering (CQA) over hybrid contex...
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10/17/2022
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction
We study automatic Contract Clause Extraction (CCE) by modeling implicit...
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04/14/2022
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems
Recent years witnessed several advances in developing multi-goal convers...
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03/04/2022
Universal Segmentation of 33 Anatomies
In the paper, we present an approach for learning a single model that un...
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03/02/2022
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
As an important fine-grained sentiment analysis problem, aspect-based se...
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02/07/2022
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems
User Satisfaction Estimation (USE) is an important yet challenging task ...
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01/29/2022
Hyperparameter-free deep active learning for regression problems via query synthesis
In the past decade, deep active learning (DAL) has heavily focused upon ...
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12/27/2021
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling
Recently, Product Question Answering (PQA) on E-Commerce platforms has a...
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12/19/2021
Inverse deep learning methods and benchmarks for artificial electromagnetic material design
Deep learning (DL) inverse techniques have increased the speed of artifi...
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11/26/2021
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
Numerous physical systems are described by ordinary or partial different...
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10/02/2021
Aspect Sentiment Quad Prediction as Paraphrase Generation
Aspect-based sentiment analysis (ABSA) has been extensively studied in r...
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09/07/2021
Exploiting Reasoning Chains for Multi-hop Science Question Answering
We propose a novel Chain Guided Retriever-reader (CGR) framework to mode...
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08/30/2021
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
Despite significant progress has been achieved in text summarization, fa...
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06/21/2021
Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation
In this work, we propose a novel and easy-to-apply data augmentation str...
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05/31/2021
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
Spine-related diseases have high morbidity and cause a huge burden of so...
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05/20/2021
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Conversational recommender systems (CRS) enable the traditional recommen...
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04/12/2021
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge
Answer selection, which is involved in many natural language processing ...
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10/15/2020
Research on AI Composition Recognition Based on Music Rules
The development of artificial intelligent composition has resulted in th...
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10/08/2020
Multi-hop Inference for Question-driven Summarization
Question-driven summarization has been recently studied as an effective ...
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08/27/2020
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
Product-related question answering (QA) is an important but challenging ...
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06/28/2020
Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling
Many E-commerce sites now offer product-specific question answering plat...
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03/13/2020
Review-guided Helpful Answer Identification in E-commerce
Product-specific community question answering platforms can greatly help...
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11/22/2019
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
Community question answering (CQA) gains increasing popularity in both a...
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01/06/2019
Efforts estimation of doctors annotating medical image
Accurate annotation of medical image is the crucial step for image AI cl...
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12/06/2018
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
Answer selection and knowledge base question answering (KBQA) are two im...
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12/05/2018
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions
Named entity discovery and linking is the fundamental and core component...
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12/05/2018
Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking
Ontology can be used for the interpretation of natural language. To cons...
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09/27/2018
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition
Medical knowledge graph is the core component for various medical applic...
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08/01/2018
A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation
Magnetic Resonance Imaging (MRI) is widely used in the pathological and ...
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07/23/2018
DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation
Accurate segmentation of MR brain tissue is a crucial step for diagnosis...
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07/19/2018