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07/06/2023
Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts
Many cognitive approaches to well-being, such as recognizing and reframi...
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05/23/2023
Continual Dialogue State Tracking via Example-Guided Question Answering
Dialogue systems are frequently updated to accommodate new services, but...
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10/26/2022
IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text
We present IMU2CLIP, a novel pre-training approach to align Inertial Mea...
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10/14/2022
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values
Many NLP classification tasks, such as sexism/racism detection or toxici...
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05/12/2022
AiSocrates: Towards Answering Ethical Quandary Questions
Considerable advancements have been made in various NLP tasks based on t...
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04/11/2022
NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias
Media framing bias can lead to increased political polarization, and thu...
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03/03/2022
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking
Annotating task-oriented dialogues is notorious for the expensive and di...
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10/15/2021
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
Learning to converse using only a few examples is a great challenge in c...
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09/16/2021
Language Models are Few-shot Multilingual Learners
General-purpose language models have demonstrated impressive capabilitie...
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09/10/2021
Zero-Shot Dialogue State Tracking via Cross-Task Transfer
Zero-shot transfer learning for dialogue state tracking (DST) enables us...
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08/24/2021
Taming the Beast: Learning to Control Neural Conversational Models
This thesis investigates the controllability of deep learning-based, end...
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06/11/2021
Assessing Political Prudence of Open-domain Chatbots
Politically sensitive topics are still a challenge for open-domain chatb...
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06/07/2021
CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System
Information-seeking dialogue systems, including knowledge identification...
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06/05/2021
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling
Task-oriented dialogue (ToD) benchmarks provide an important avenue to m...
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05/14/2021
QAConv: Question Answering on Informative Conversations
This paper introduces QAConv, a new question answering (QA) dataset that...
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05/13/2021
Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters
To diversify and enrich generated dialogue responses, knowledge-grounded...
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05/10/2021
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking
Zero-shot cross-domain dialogue state tracking (DST) enables us to handl...
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04/18/2021
Dynamically Addressing Unseen Rumor via Continual Learning
Rumors are often associated with newly emerging events, thus, an ability...
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04/17/2021
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
Dialogue systems powered by large pre-trained language models (LM) exhib...
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04/01/2021
Mitigating Media Bias through Neutral Article Generation
Media bias can lead to increased political polarization, and thus, the n...
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03/24/2021
Are Multilingual Models Effective in Code-Switching?
Multilingual language models have shown decent performance in multilingu...
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03/17/2021
Towards Few-Shot Fact-Checking via Perplexity
Few-shot learning has drawn researchers' attention to overcome the probl...
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12/31/2020
Continual Learning in Task-Oriented Dialogue Systems
Continual learning in task-oriented dialogue systems can allow us to add...
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12/08/2020
CrossNER: Evaluating Cross-Domain Named Entity Recognition
Cross-domain named entity recognition (NER) models are able to cope with...
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10/09/2020
Plug-and-Play Conversational Models
There has been considerable progress made towards conversational models ...
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09/28/2020
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems
Task-oriented dialogue systems are either modularized with separate dial...
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09/25/2020
MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
In this paper, we propose Minimalist Transfer Learning (MinTL) to simpli...
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08/28/2020
The Adapter-Bot: All-In-One Controllable Conversational Model
Considerable progress has been made towards conversational models that g...
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08/14/2020
Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems
Task-oriented dialogue systems use four connected modules, namely, Natur...
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06/08/2020
Misinformation has High Perplexity
Debunking misinformation is an important and time-critical task as there...
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04/29/2020
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
Recently, fine-tuning pre-trained cross-lingual models (e.g., multilingu...
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04/08/2020
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
Fine-tuning pre-trained generative language models to down-stream langua...
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03/17/2020
XPersona: Evaluating Multilingual Personalized Chatbot
Personalized dialogue systems are an essential step toward better human-...
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03/04/2020
Learning Fast Adaptation on Cross-Accented Speech Recognition
Local dialects influence people to pronounce words of the same language ...
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01/24/2020
Exploration Based Language Learning for Text-Based Games
This work presents an exploration and imitation-learning-based agent cap...
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01/07/2020
Attention over Parameters for Dialogue Systems
Dialogue systems require a great deal of different but complementary exp...
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12/04/2019
Plug and Play Language Models: a Simple Approach to Controlled Text Generation
Large transformer-based language models (LMs) trained on huge text corpo...
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11/11/2019
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
Despite the surging demands for multilingual task-oriented dialog system...
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09/18/2019
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences
Training code-switched language models is difficult due to lack of data ...
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09/09/2019
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
Sensational headlines are headlines that capture people's attention and ...
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08/27/2019
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
Despite their ubiquity in NLP tasks, Long Short-Term Memory (LSTM) netwo...
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08/21/2019
MoEL: Mixture of Empathetic Listeners
Previous research on empathetic dialogue systems has mostly focused on g...
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08/13/2019
Getting To Know You: User Attribute Extraction from Dialogues
User attributes provide rich and useful information for user understandi...
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06/20/2019
HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead
Recent neural conversation models that attempted to incorporate emotion ...
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06/10/2019
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
Detecting emotion from dialogue is a challenge that has not yet been ext...
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05/24/2019
Personalizing Dialogue Agents via Meta-Learning
Existing personalized dialogue models use human designed persona descrip...
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05/21/2019
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Over-dependence on domain ontology and lack of knowledge sharing across ...
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10/30/2018
Towards End-to-end Automatic Code-Switching Speech Recognition
Speech recognition in mixed language has difficulties to adapt end-to-en...
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10/24/2018
Learn to Code-Switch: Data Augmentation using Copy Mechanism on Language Modeling
Building large-scale datasets for training code-switching language model...
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09/12/2018