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09/13/2023
CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation
Conversational search provides a natural interface for information retri...
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08/28/2023
SalesBot 2.0: A Human-Like Intent-Guided Chit-Chat Dataset
In recent research on dialogue systems and corpora, there has been a sig...
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06/09/2023
Zero-Shot Dialogue Relation Extraction by Relating Explainable Triggers and Relation Names
Developing dialogue relation extraction (DRE) systems often requires a l...
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11/17/2022
Open-Domain Conversational Question Answering with Historical Answers
Open-domain conversational question answering can be viewed as two tasks...
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10/12/2022
Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense Reasoning
Intelligent virtual assistants are currently designed to perform tasks o...
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07/26/2022
Controllable User Dialogue Act Augmentation for Dialogue State Tracking
Prior work has demonstrated that data augmentation is useful for improvi...
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07/12/2022
PLM-ICD: Automatic ICD Coding with Pretrained Language Models
Automatically classifying electronic health records (EHRs) into diagnost...
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05/16/2022
Miutsu: NTU's TaskBot for the Alexa Prize
This paper introduces Miutsu, National Taiwan University's Alexa Prize T...
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05/02/2022
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
Spoken language understanding (SLU) is an essential task for machines to...
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04/25/2022
Islander: A Real-Time News Monitoring and Analysis System
With thousands of news articles from hundreds of sources distributed and...
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04/22/2022
SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues
Dialogue systems are usually categorized into two types, open-domain and...
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03/27/2022
BARCOR: Towards A Unified Framework for Conversational Recommendation Systems
Recommendation systems focus on helping users find items of interest in ...
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12/02/2021
Towards Generating Citation Sentences for Multiple References with Intent Control
Machine-generated citation sentences can aid automated scientific litera...
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10/11/2021
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems
Task-oriented dialogue systems have been a promising area in the NLP fie...
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09/17/2021
Relating Neural Text Degeneration to Exposure Bias
This work focuses on relating two mysteries in neural-based text generat...
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08/31/2021
TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues
The goal of dialogue relation extraction (DRE) is to identify the relati...
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06/24/2021
Modeling Diagnostic Label Correlation for Automatic ICD Coding
Given the clinical notes written in electronic health records (EHRs), it...
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06/14/2021
Mitigating Biases in Toxic Language Detection through Invariant Rationalization
Automatic detection of toxic language plays an essential role in protect...
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06/14/2021
Why Can You Lay Off Heads? Investigating How BERT Heads Transfer
The huge size of the widely used BERT family models has led to recent ef...
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01/27/2021
An Empirical Study of Cross-Lingual Transferability in Generative Dialogue State Tracker
There has been a rapid development in data-driven task-oriented dialogue...
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11/27/2020
TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation
Score function-based natural language generation (NLG) approaches such a...
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11/12/2020
Overview of the Ninth Dialog System Technology Challenge: DSTC9
This paper introduces the Ninth Dialog System Technology Challenge (DSTC...
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11/02/2020
Adapting Pretrained Transformer to Lattices for Spoken Language Understanding
Lattices are compact representations that encode multiple hypotheses, su...
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10/28/2020
Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data
Analyzing big geophysical observational data collected by multiple advan...
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10/10/2020
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding
In recent years, pre-trained Transformers have dominated the majority of...
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10/08/2020
Dual Inference for Improving Language Understanding and Generation
Natural language understanding (NLU) and Natural language generation (NL...
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10/05/2020
Lifelong Language Knowledge Distillation
It is challenging to perform lifelong language learning (LLL) on a strea...
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07/06/2020
Learning Spoken Language Representations with Neural Lattice Language Modeling
Pre-trained language models have achieved huge improvement on many NLP t...
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04/30/2020
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning
In modular dialogue systems, natural language understanding (NLU) and na...
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04/28/2020
Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification
Learning continuous representations from unlabeled textual data has been...
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10/03/2019
Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation
Randomized controlled trials (RCTs) represent the paramount evidence of ...
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10/01/2019
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
Data-driven, knowledge-grounded neural conversation models are capable o...
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09/24/2019
Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding
Employing pre-trained language models (LM) to extract contextualized wor...
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09/24/2019
An Empirical Study of Content Understanding in Conversational Question Answering
With a lot of work about context-free question answering systems, there ...
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09/14/2019
Tree Transformer: Integrating Tree Structures into Self-Attention
Pre-training Transformer from large-scale raw texts and fine-tuning on t...
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08/31/2019
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization
Standard accuracy metrics indicate that modern reading comprehension sys...
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08/22/2019
Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation
With increasing information from social media, there are more and more v...
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08/14/2019
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
Conversational machine comprehension requires deep understanding of the ...
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08/14/2019
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling
Visual question answering and visual dialogue tasks have been increasing...
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05/24/2019
Bridging Dialogue Generation and Facial Expression Synthesis
Spoken dialogue systems that assist users to solve complex tasks such as...
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05/15/2019
Dual Supervised Learning for Natural Language Understanding and Generation
Natural language understanding (NLU) and natural language generation (NL...
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04/16/2019
Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain Adaptation
Spoken question answering (SQA) is challenging due to complex reasoning ...
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03/23/2019
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model
End-to-end dialogue generation has achieved promising results without us...
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03/21/2019
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer
With the increasing research interest in dialogue response generation, t...
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03/21/2019
RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection
The response selection has been an emerging research topic due to the gr...
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11/02/2018
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems
Solving math word problems is a challenging task that requires accurate ...
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10/31/2018
Modeling Melodic Feature Dependency with Modularized Variational Auto-Encoder
Automatic melody generation has been a long-time aspiration for both AI ...
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10/21/2018
BCWS: Bilingual Contextual Word Similarity
This paper introduces the first dataset for evaluating English-Chinese B...
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09/19/2018
Investigating Linguistic Pattern Ordering in Hierarchical Natural Language Generation
Natural language generation (NLG) is a critical component in spoken dial...
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09/15/2018