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09/20/2023
UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt
Recent research has shown that multi-task pre-training greatly improves ...
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05/22/2023
Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision
Most existing task-oriented dialog (TOD) systems track dialog states in ...
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05/22/2023
Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition
Energy-based language models (ELMs) parameterize an unnormalized distrib...
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04/21/2023
Persistently Trained, Diffusion-assisted Energy-based Models
Maximum likelihood (ML) learning for energy-based models (EBMs) is chall...
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10/17/2022
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems
Building user simulators (USs) for reinforcement learning (RL) of task-o...
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10/13/2022
Jointly Reinforced User Simulator and Task-oriented Dialog System with Simplified Generative Architecture
Recently, there has been progress in supervised funetuning pretrained GP...
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09/27/2022
Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset
Recently, there have merged a class of task-oriented dialogue (TOD) data...
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07/25/2022
Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models
Developing semi-supervised task-oriented dialog (TOD) systems by leverag...
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07/06/2022
A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems
A challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Syste...
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04/13/2022
Revisiting Markovian Generative Architectures for Efficient Task-Oriented Dialog Systems
Recently, Transformer based pretrained language models (PLMs), such as G...
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03/31/2022
An Empirical Study of Language Model Integration for Transducer based Speech Recognition
Utilizing text-only data with an external language model (LM) in end-to-...
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03/31/2022
CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASR
History and future contextual information are known to be important for ...
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03/31/2022
Exploiting Single-Channel Speech for Multi-Channel End-to-End Speech Recognition: A Comparative Study
Recently, the end-to-end training approach for multi-channel ASR has sho...
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11/02/2021
iCallee: Recovering Call Graphs for Binaries
Recovering programs' call graphs is crucial for inter-procedural analysi...
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09/09/2021
Variational Latent-State GPT for Semi-supervised Task-Oriented Dialog Systems
Recently, two approaches, fine-tuning large pre-trained language models ...
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07/11/2021
Multilingual and crosslingual speech recognition using phonological-vector based phone embeddings
The use of phonological features (PFs) potentially allows language-speci...
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07/07/2021
Advancing CTC-CRF Based End-to-End Speech Recognition with Wordpieces and Conformers
Automatic speech recognition systems have been largely improved in the p...
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04/30/2021
Deformable TDNN with adaptive receptive fields for speech recognition
Time Delay Neural Networks (TDNNs) are widely used in both DNN-HMM based...
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11/13/2020
The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines
Automatic speech recognition (ASR) has been significantly advanced with ...
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11/11/2020
Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients
Neural Architecture Search (NAS), the process of automating architecture...
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10/25/2020
An empirical study of domain-agnostic semi-supervised learning via energy-based models: joint-training and pre-training
A class of recent semi-supervised learning (SSL) methods heavily rely on...
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09/17/2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
Structured belief states are crucial for user goal tracking and database...
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05/28/2020
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models
Although with progress in introducing auxiliary amortized inference mode...
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05/27/2020
CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency
In this paper, we present a new open source toolkit for speech recogniti...
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04/16/2020
Paraphrase Augmented Task-Oriented Dialog Generation
Neural generative models have achieved promising performance on dialog g...
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02/14/2020
Integrating Discrete and Neural Features via Mixed-feature Trans-dimensional Random Field Language Models
There has been a long recognition that discrete features (n-gram feature...
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11/24/2019
Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
Conversations have an intrinsic one-to-many property, which means that m...
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11/20/2019
CAT: CRF-based ASR Toolkit
In this paper, we present a new open source toolkit for automatic speech...
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11/04/2018
Neural CRF transducers for sequence labeling
Conditional random fields (CRFs) have been shown to be one of the most s...
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11/04/2018
Elastic CRFs for Open-ontology Slot Filling
Slot filling is a crucial component in task-oriented dialog systems, whi...
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08/05/2018
A Review of Learning with Deep Generative Models from perspective of graphical modeling
This document aims to provide a review on learning with deep generative ...
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07/13/2018
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units
In this paper, we present an end-to-end automatic speech recognition sys...
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07/03/2018
Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation
A new whole-sentence language model - neural trans-dimensional random fi...
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06/01/2018
Learning Neural Random Fields with Inclusive Auxiliary Generators
In this paper we develop Neural Random Field learning with Inclusive-div...
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03/01/2018
Learning Sparse Structured Ensembles with SG-MCMC and Network Pruning
An ensemble of neural networks is known to be more robust and accurate t...
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11/09/2017
Tracking of enriched dialog states for flexible conversational information access
Dialog state tracking (DST) is a crucial component in a task-oriented di...
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10/30/2017
Learning neural trans-dimensional random field language models with noise-contrastive estimation
Trans-dimensional random field language models (TRF LMs) where sentences...
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07/23/2017
Language modeling with Neural trans-dimensional random fields
Trans-dimensional random field language models (TRF LMs) have recently b...
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03/30/2016
Model Interpolation with Trans-dimensional Random Field Language Models for Speech Recognition
The dominant language models (LMs) such as n-gram and neural network (NN...
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03/20/2016
Joint Stochastic Approximation learning of Helmholtz Machines
Though with progress, model learning and performing posterior inference ...
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03/20/2015
