Andrea Madotto

research

∙ 07/06/2023

Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts

Many cognitive approaches to well-being, such as recognizing and reframi...

0 Mounica Maddela, et al. ∙

research

∙ 05/23/2023

Continual Dialogue State Tracking via Example-Guided Question Answering

Dialogue systems are frequently updated to accommodate new services, but...

6 Hyundong Cho, et al. ∙

research

∙ 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...

1 Seungwhan Moon, et al. ∙

research

∙ 10/14/2022

Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values

Many NLP classification tasks, such as sexism/racism detection or toxici...

2 Yejin Bang, et al. ∙

research

∙ 05/12/2022

AiSocrates: Towards Answering Ethical Quandary Questions

Considerable advancements have been made in various NLP tasks based on t...

12 Yejin Bang, et al. ∙

research

∙ 04/11/2022

NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias

Media framing bias can lead to increased political polarization, and thu...

0 Nayeon Lee, et al. ∙

research

∙ 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...

5 Jamin Shin, et al. ∙

research

∙ 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...

5 Andrea Madotto, et al. ∙

research

∙ 09/16/2021

Language Models are Few-shot Multilingual Learners

General-purpose language models have demonstrated impressive capabilitie...

6 Genta Indra Winata, et al. ∙

research

∙ 09/10/2021

Zero-Shot Dialogue State Tracking via Cross-Task Transfer

Zero-shot transfer learning for dialogue state tracking (DST) enables us...

0 Zhaojiang Lin, et al. ∙

research

∙ 08/24/2021

Taming the Beast: Learning to Control Neural Conversational Models

This thesis investigates the controllability of deep learning-based, end...

14 Andrea Madotto, et al. ∙

research

∙ 06/11/2021

Assessing Political Prudence of Open-domain Chatbots

Politically sensitive topics are still a challenge for open-domain chatb...

2 Yejin Bang, et al. ∙

research

∙ 06/07/2021

CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System

Information-seeking dialogue systems, including knowledge identification...

7 Etsuko Ishii, et al. ∙

research

∙ 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...

4 Zhaojiang Lin, et al. ∙

research

∙ 05/14/2021

QAConv: Question Answering on Informative Conversations

This paper introduces QAConv, a new question answering (QA) dataset that...

12 Chien-Sheng Wu, et al. ∙

research

∙ 05/13/2021

Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters

To diversify and enrich generated dialogue responses, knowledge-grounded...

7 Yan Xu, et al. ∙

research

∙ 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...

4 Zhaojiang Lin, et al. ∙

research

∙ 04/18/2021

Dynamically Addressing Unseen Rumor via Continual Learning

Rumors are often associated with newly emerging events, thus, an ability...

13 Nayeon Lee, et al. ∙

research

∙ 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...

6 Nouha Dziri, et al. ∙

research

∙ 04/01/2021

Mitigating Media Bias through Neutral Article Generation

Media bias can lead to increased political polarization, and thus, the n...

14 Nayeon Lee, et al. ∙

research

∙ 03/24/2021

Are Multilingual Models Effective in Code-Switching?

Multilingual language models have shown decent performance in multilingu...

3 Genta Indra Winata, et al. ∙

research

∙ 03/17/2021

Towards Few-Shot Fact-Checking via Perplexity

Few-shot learning has drawn researchers' attention to overcome the probl...

12 Nayeon Lee, et al. ∙

research

∙ 12/31/2020

Continual Learning in Task-Oriented Dialogue Systems

Continual learning in task-oriented dialogue systems can allow us to add...

6 Andrea Madotto, et al. ∙

research

∙ 12/08/2020

CrossNER: Evaluating Cross-Domain Named Entity Recognition

Cross-domain named entity recognition (NER) models are able to cope with...

7 Zihan Liu, et al. ∙

research

∙ 10/09/2020

Plug-and-Play Conversational Models

There has been considerable progress made towards conversational models ...

6 Andrea Madotto, et al. ∙

research

∙ 09/28/2020

Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems

Task-oriented dialogue systems are either modularized with separate dial...

4 Andrea Madotto, et al. ∙

research

∙ 09/25/2020

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

In this paper, we propose Minimalist Transfer Learning (MinTL) to simpli...

10 Zhaojiang Lin, et al. ∙

research

∙ 08/28/2020

The Adapter-Bot: All-In-One Controllable Conversational Model

Considerable progress has been made towards conversational models that g...

5 Andrea Madotto, et al. ∙

research

∙ 08/14/2020

Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems

Task-oriented dialogue systems use four connected modules, namely, Natur...

0 Andrea Madotto, et al. ∙

research

∙ 06/08/2020

Misinformation has High Perplexity

Debunking misinformation is an important and time-critical task as there...

18 Nayeon Lee, et al. ∙

research

∙ 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...

0 Zihan Liu, et al. ∙

research

∙ 04/08/2020

Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning

Fine-tuning pre-trained generative language models to down-stream langua...

0 Zhaojiang Lin, et al. ∙

research

∙ 03/17/2020

XPersona: Evaluating Multilingual Personalized Chatbot

Personalized dialogue systems are an essential step toward better human-...

0 Zhaojiang Lin, et al. ∙

research

∙ 03/04/2020

Learning Fast Adaptation on Cross-Accented Speech Recognition

Local dialects influence people to pronounce words of the same language ...

0 Genta Indra Winata, et al. ∙

research

∙ 01/24/2020

Exploration Based Language Learning for Text-Based Games

This work presents an exploration and imitation-learning-based agent cap...

27 Andrea Madotto, et al. ∙

research

∙ 01/07/2020

Attention over Parameters for Dialogue Systems

Dialogue systems require a great deal of different but complementary exp...

0 Andrea Madotto, et al. ∙

research

∙ 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...

13 Sumanth Dathathri, et al. ∙

research

∙ 11/11/2019

Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables

Despite the surging demands for multilingual task-oriented dialog system...

0 Zihan Liu, et al. ∙

research

∙ 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 ...

0 Genta Indra Winata, et al. ∙

research

∙ 09/09/2019

Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning

Sensational headlines are headlines that capture people's attention and ...

0 Peng Xu, et al. ∙

research

∙ 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...

0 Genta Indra Winata, et al. ∙

research

∙ 08/21/2019

MoEL: Mixture of Empathetic Listeners

Previous research on empathetic dialogue systems has mostly focused on g...

0 Zhaojiang Lin, et al. ∙

research

∙ 08/13/2019

Getting To Know You: User Attribute Extraction from Dialogues

User attributes provide rich and useful information for user understandi...

4 Chien-Sheng Wu, et al. ∙

research

∙ 06/20/2019

HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead

Recent neural conversation models that attempted to incorporate emotion ...

1 Jamin Shin, et al. ∙

research

∙ 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...

0 Genta Indra Winata, et al. ∙

research

∙ 05/24/2019

Personalizing Dialogue Agents via Meta-Learning

Existing personalized dialogue models use human designed persona descrip...

6 Zhaojiang Lin, et al. ∙

research

∙ 05/21/2019

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

Over-dependence on domain ontology and lack of knowledge sharing across ...

2 Chien-Sheng Wu, et al. ∙

research

∙ 10/30/2018

Towards End-to-end Automatic Code-Switching Speech Recognition

Speech recognition in mixed language has difficulties to adapt end-to-en...

0 Genta Indra Winata, et al. ∙

research

∙ 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...

0 Genta Indra Winata, et al. ∙

research

∙ 09/12/2018

Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training

In this paper, we propose Emo2Vec which encodes emotional semantics into...

0 Peng Xu, et al. ∙

Andrea Madotto

Featured Co-authors