Andrea Madotto bio photo

Andrea Madotto

Deep learning, Machine Learning, Learning To Learn, Natural Language Processing.

Curriculum Twitter   G. Scholar LinkedIn Github Stackoverflow e-Mail

My Publications

You can also browse my Google Scholar profile.

Conferences

  • Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
    Plug and Play Language Models: a Simple Approach to Controlled Text Generation
    ICLR 2020
    [PDF] [CODE] [DEMO] [MIT_REVIEW] [BibTeX]

    @inproceedings{
    Dathathri2020Plug,
    title={Plug and Play Language Models: a Simple Approach to Controlled Text Generation},
    author={Sumanth Dathathri and Andrea Madotto and Janice Lan and Jane Hung and Eric Frank and Piero Molino and Jason Yosinski and Rosanne Liu},
    booktitle={International Conference on Learning Representations},
    year={2020},
    url={https://openreview.net/forum?id=H1edEyBKDS}
    }
    
  • Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gokhan Tur
    Exploration Based Language Learning for Text-Based Games
    IJCAI 2020
    [PDF] [VentureBeat] [BibTeX]

        @article{madotto2020exploration,
            title={Exploration Based Language Learning for Text-Based Games},
            author={Madotto, Andrea and Namazifar, Mahdi and Huizinga, Joost and Molino, Piero and Ecoffet, Adrien and Zheng, Huaixiu and Papangelis, Alexandros and Yu, Dian and Khatri, Chandra and Tur, Gokhan},
            journal={arXiv preprint arXiv:2001.08868},
            year={2020}
            }
        
  • Chien-Sheng Wu, Andrea Madotto, Lin, Zhaojiang, Peng Xu, and and Pascale Fung
    Getting To Know You: User Attribute Extraction from Dialogues
    LREC 2020.
    [PDF] [BibTeX]

        @article{wu2019getting,
        title={Getting To Know You: User Attribute Extraction from Dialogues},
        author={Wu, Chien-Sheng and Madotto, Andrea and Lin, Zhaojiang and Xu, Peng and Fung, Pascale},
        journal={arXiv preprint arXiv:1908.04621},
        year={2019}
        }
        
  • Jamin Shin, Peng Xu, Andrea Madotto, Pascale Fung
    HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead
    IEEE-ICASSP 2020.
    [PDF] [BibTeX]

    @article{shin2019happybot,
    title={HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead},
    author={Shin, Jamin and Xu, Peng and Madotto, Andrea and Fung, Pascale},
    journal={arXiv preprint arXiv:1906.08487},
    year={2019}
    }
    
  • Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu and Pascale Fung
    MoEL: Mixture of Empathetic Listeners
    EMNLP 2019
    [PDF] [CODE] [BibTeX]

    @inproceedings{lin2019moel,
    title={MoEL: Mixture of Empathetic Listeners},
    author={Lin, Zhaojiang and Madotto, Andrea and Shin, Jamin and Xu, Peng and Fung, Pascale},
    booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
    pages={121--132},
    year={2019}
    }
    
  • Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto and Pascale Fung
    Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
    EMNLP 2019
    [PDF] [CODE] [BibTeX]

    @inproceedings{liu2019zero,
    title={Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables},
    author={Liu, Zihan and Shin, Jamin and Xu, Yan and Winata, Genta Indra and Xu, Peng and Madotto, Andrea and Fung, Pascale},
    booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
    pages={1297--1303},
    year={2019}
    }          
    
  • Peng Xu, Chien-Sheng Wu, Andrea Madotto and Pascale Fung
    Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
    EMNLP 2019
    [PDF] [CODE] [BibTeX]

    @inproceedings{xu2019clickbait,
    title={Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning},
    author={Xu, Peng and Wu, Chien-Sheng and Madotto, Andrea and Fung, Pascale},
    booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
    pages={3056--3066},
    year={2019}
    }
    
  • Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, Pascale Fung
    Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences
    CoNLL 2019
    [PDF] [BibTeX]

    @inproceedings{winata2019code,
    title={Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences},
    author={Winata, Genta Indra and Madotto, Andrea and Wu, Chien-Sheng and Fung, Pascale},
    booktitle={Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)},
    pages={271--280},
    year={2019}
    }
    
  • Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Pascale Fung
    Personalizing Dialogue Agents via Meta-Learning
    ACL 2019
    [PDF] [CODE] [BibTeX]

    @inproceedings{madotto2019personalizing,
    title={Personalizing Dialogue Agents via Meta-Learning},
    author={Madotto, Andrea and Lin, Zhaojiang and Wu, Chien-Sheng and Fung, Pascale},
    booktitle={Proceedings of the 57th Conference of the Association for Computational Linguistics},
    pages={5454--5459},
    year={2019}
    }
    
  • Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung
    Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
    ACL 2019 [ Outstanding Paper Award - 0.1% of the paper ]
    [PDF] [CODE] [BibTeX]

    @InProceedings{WuTradeDST2019,
    author = "Wu, Chien-Sheng and Madotto, Andrea and Hosseini-Asl, Ehsan and Xiong, Caiming and Socher, Richard and Fung, Pascale",
    title = 	"Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems",
    booktitle = 	"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    year = 	"2019",
    publisher = "Association for Computational Linguistics"
    }
    
  • Andrea Madotto, Chien-Sheng Wu, and Pascale Fung
    Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
    ACL 2018
    [PDF] [CODE] [BibTeX]

    @InProceedings{P18-1136,
    author = "Madotto, Andrea and Wu, Chien-Sheng and Fung, Pascale",
    title = "Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    year = "2018",
    publisher = "Association for Computational Linguistics",
    pages = "1468--1478",
    location = "Melbourne, Australia",
    url = "http://aclweb.org/anthology/P18-1136"
    }
    
  • Chien-Sheng Wu, Andrea Madotto, Genta Winata, and Pascale Fung
    End-to-End Dynamic Query Memory Network for Entity-Value Independent Task-Oriented Dialog
    IEEE-ICASSP 2018
    [PDF] [BibTeX]

    @inproceedings{wu2018end,
    title={End-to-End Dynamic Query Memory Network for Entity-Value Independent Task-Oriented Dialog},
    author={Wu, Chien-Sheng and Madotto, Andrea and Winata, Genta Indra and Fung, Pascale},
    booktitle={2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    pages={6154--6158},
    year={2018},
    organization={IEEE}
    }
    

Preprint

  • Zhaojiang Lin, Zihan Liu, Genta Indra Winata, Samuel Cahyawijaya, Andrea Madotto, Yejin Bang, Etsuko Ishii, Pascale Fung
    XPersona: Evaluating Multilingual Personalized Chatbot
    Arxiv 2020 [Under Submission EMNLP 2020]
    [PDF] [CODE] [BibTeX]

        @article{lin2020xpersona,
            title={XPersona: Evaluating Multilingual Personalized Chatbot},
            author={Lin, Zhaojiang and Liu, Zihan and Winata, Genta Indra and Cahyawijaya, Samuel and Madotto, Andrea and Bang, Yejin and Ishii, Etsuko and Fung, Pascale},
            journal={arXiv preprint arXiv:2003.07568},
            year={2020}
          }
    
  • Zhaojiang Lin, Andrea Madotto, Pascale Fung
    Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
    Arxiv 2020 [Under Submission EMNLP 2020]
    [PDF] [CODE] [BibTeX]

            @article{lin2020exploring,
                title={Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning},
                author={Lin, Zhaojiang and Madotto, Andrea and Fung, Pascale},
                journal={arXiv preprint arXiv:2004.03829},
                year={2020}
              }
        
  • Zihan Liu, Genta Indra Winata, Andrea Madotto, Pascale Fung
    Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
    Arxiv 2020 [Under Submission EMNLP 2020]
    [PDF] [BibTeX]

            @article{liu2020exploring,
                title={Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning},
                author={Liu, Zihan and Winata, Genta Indra and Madotto, Andrea and Fung, Pascale},
                journal={arXiv preprint arXiv:2004.14218},
                year={2020}
              }
        
  • Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto, Peng Xu, Pascale Fung
    Learning Fast Adaptation on Cross-Accented Speech Recognition
    Arxiv 2020
    [PDF] [BibTeX]

            @article{winata2020learning,
                title={Learning fast adaptation on cross-accented speech recognition},
                author={Winata, Genta Indra and Cahyawijaya, Samuel and Liu, Zihan and Lin, Zhaojiang and Madotto, Andrea and Xu, Peng and Fung, Pascale},
                journal={arXiv preprint arXiv:2003.01901},
                year={2020}
              }
        

Journals

  • Andrea Madotto, Liu Jiming
    Super-Spreader Identification Using Meta-Centrality
    Nature Scientific Report , 6, 38994, 2016.
    [PDF] [BibTeX]

    @article{madotto2016super,
    title={Super-Spreader Identification Using Meta-Centrality},
    author={Madotto, Andrea and Liu, Jiming},
    journal={Scientific reports},
    volume={6},
    pages={38994},
    year={2016},
    publisher={Nature Publishing Group}
    }
    

Workshops

  • Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Jamin Shin, Pascale Fung
    Attention over Parameters for Dialogue Systems
    NeurIPS 2019 ConvAI [Best Paper Award]
    [PDF] [CODE] [VIDEO] [REVIEW] [BibTeX]

    @article{madotto2020attention,
        title={Attention over Parameters for Dialogue Systems},
        author={Madotto, Andrea and Lin, Zhaojiang and Wu, Chien-Sheng and Shin, Jamin and Fung, Pascale},
        journal={arXiv preprint arXiv:2001.01871},
        year={2020}
    }
    
  • Genta Indra Winata, Andrea Madotto, Jamin Shin, Elham J. Barezi, and Pascale Fung
    On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
    PACLIC-2019.
    [PDF] [BibTeX]

    @article{winata2019effectiveness,
    title={On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression},
    author={Winata, Genta Indra and Madotto, Andrea and Shin, Jamin and Barezi, Elham J and Fung, Pascale},
    journal={arXiv preprint arXiv:1908.09982},
    year={2019}
    }
    
  • Nayeon Lee, Andrea Madotto, and Pascale Fung.
    Exploring Social Bias in Chatbots using Stereotype Knowledge
    Widening NLP ACL-2019.
    [PDF] [BibTeX]

    @inproceedings{lee2019exploring,
    title={Exploring Social Bias in Chatbots using Stereotype Knowledge},
    author={Lee, Nayeon and Madotto, Andrea and Fung, Pascale},
    booktitle={Proceedings of the 2019 Workshop on Widening NLP},
    pages={177--180},
    year={2019}
    }
    
  • Lin, Zhaojiang, Andrea Madotto, Genta Indra Winata, Zihan Liu, Yan Xu, Cong Gao, and Pascale Fung.
    Learning to Learn Sales Prediction with Social Media Sentiment
    FinNLP IJCAI-2019.
    [PDF] [BibTeX]

    @inproceedings{lin2019learning,
    title={Learning to Learn Sales Prediction with Social Media Sentiment},
    author={Lin, Zhaojiang and Madotto, Andrea and Winata, Genta Indra and Liu, Zihan and Xu, Yan and Gao, Cong and Fung, Pascale},
    booktitle={The First Workshop on Financial Technology and Natural Language Processing in conjunction with IJCAI 2019},
    pages={47},
    year={2019}
    }
    
  • Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Jamin Shin, Yan Xu, Peng Xu, Pascale Fung
    CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
    SemEval-2019.
    [PDF] [CODE] [BibTeX]

    @inproceedings{winata-etal-2019-caire,
    title = "{CA}i{RE}{\_}{HKUST} at {S}em{E}val-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification",
    author = "Winata, Genta Indra  and
    Madotto, Andrea  and
    Lin, Zhaojiang  and
    Shin, Jamin  and
    Xu, Yan  and
    Xu, Peng  and
    Fung, Pascale",
    booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/S19-2021",
    pages = "142--147",
    abstract = "Detecting emotion from dialogue is a challenge that has not yet been extensively surveyed. One could consider the emotion of each dialogue turn to be independent, but in this paper, we introduce a hierarchical approach to classify emotion, hypothesizing that the current emotional state depends on previous latent emotions. We benchmark several feature-based classifiers using pre-trained word and emotion embeddings, state-of-the-art end-to-end neural network models, and Gaussian processes for automatic hyper-parameter search. In our experiments, hierarchical architectures consistently give significant improvements, and our best model achieves a 76.77{\%} F1-score on the test set.",
    }
    
  • Jamin Shin, Andrea Madotto, Minjoon Seo, Pascale Fung
    End-to-End Question Answering Models for Goal-Oriented Dialog Learning
    DSTC7-2019.
    [PDF] [BibTeX]

    @article{shin2019end,
    title={End-to-End Question Answering Models for Goal-Oriented Dialog Learning},
    author={Shin, Jamin and Madotto, Andrea and Seo, Minjoon and Fung, Pascale},
    year={2019}
    }
    
  • Jamin Shin, Andrea Madotto, Pascale Fung
    Interpreting Word Embeddings with Eigenvector Analysis
    NeurIPS IRASL Workshop-2018.
    [PDF] [CODE] [BibTeX]

    @article{shin2018interpreting,
    title={Interpreting Word Embeddings with Eigenvector Analysis},
    author={Shin, Jamin and Madotto, Andrea and Fung, Pascale},
    year={2018}
    }
    
  • Peng Xu, Andrea Madotto, Chien-Sheng Wu, Ji Ho Park, Pascale Fung
    Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
    EMNLP WASSA Workshop-2018.
    [PDF] [CODE] [BibTeX]

    @article{xu2018emo2vec,
    title={Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training},
    author={Xu, Peng and Madotto, Andrea and Wu, Chien-Sheng and Park, Ji Ho and Fung, Pascale},
    journal={arXiv preprint arXiv:1809.04505},
    year={2018}
    }
    
  • Genta Indra Winata, Andrea Madotto, Wu Chien-Sheng, Pascale Fung
    Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning
    ACL Code-Switching Workshop-2018.
    [PDF] [BibTeX]

    @article{CS1,
    title={Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning},
    author={Genta Indra Winata, Andrea Madotto, Wu Chien-Sheng, Pascale Fung},
    publisher = {3rd Workshop in Computational Approaches in Linguistic Code-switching},
    year = {2018}
    }
    
  • Genta Indra Winata, Wu Chien-Sheng, Andrea Madotto, Pascale Fung
    Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition
    ACL Code-Switching Workshop-2018.
    [PDF] [BibTeX]

    @article{CS2,
    title={Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition},
    author={Genta Indra Winata, Wu Chien-Sheng, Andrea Madotto, Pascale Fung},
    publisher = {3rd Workshop in Computational Approaches in Linguistic Code-switching},
    year = {2018}
    }
    
  • Pascale Fung, Bertero Dario, Xu Peng, Park Ji Ho, Wu Chien-Sheng, Andrea Madotto
    Empathetic Dialog Systems
    LREC Keynote-2018.
    [PDF] [BibTeX]

    @article{fungempathetic,
    title={Empathetic Dialog Systems},
    author={Fung, Pascale and Bertero, Dario and Xu, Peng and Park, Ji Ho and Wu, Chien-Sheng and Madotto, Andrea},
    publisher = {LREC, Keynote},
    year = {2018}
    }
    
  • Chien-Sheng Wu, Andrea Madotto, Genta Winata, and Pascale Fung
    End-to-End Recurrent Entity Network for Entity-Value Independent Goal-Oriented Dialog Learning
    DSTC6-2017.
    [PDF] [CODE] [BibTeX]

    @article{wuend,
    title={End-to-End Recurrent Entity Network for Entity-Value Independent Goal-Oriented Dialog Learning},
    author={Wu, Chien-Sheng and Madotto, Andrea and Winata, Genta Indra and Fung, Pascale},
    publisher = {Colips Workshop in Dialog System Technology Challenges},
    year = {2017}
    }
    
  • Andrea Madotto, Attardi Giuseppe
    Question Dependent Recurrent Entity Network for Question Answering
    NL4AI-2017.
    [PDF] [CODE] [BibTeX]

    @article{madotto2017question,
    title={NL4AI: 1st Workshop on Natural Language for Artificial Intelligence},
    author={Madotto, Andrea and Attardi, Giuseppe},
    journal={http://ceur-ws.org/Vol-1983/paper_07.pdf},
    year={2017}
    }
    
  • Attardi Giuseppe, Carta Antonio, Errica Federico, Andrea Madotto, and Pannitto Ludovica
    Fa3l at semeval-2017 task 3: A three embeddings recurrent neural network for question answering
    SemEval-2017.
    [PDF] [CODE] [BibTeX]

    @InProceedings{attardi-EtAl:2017:SemEval,
    author    = {Attardi, Giuseppe  and  Carta, Antonio  and  Errica, Federico  and  Madotto, Andrea  and  Pannitto, Ludovica},
    title     = {FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering},
    booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
    month     = {August},
    year      = {2017},
    address   = {Vancouver, Canada},
    publisher = {Association for Computational Linguistics},
    pages     = {299--304},
    abstract  = {In this paper we present ThReeNN, a model for Community Question Answering,
    Task 3, of SemEval-2017. The proposed model exploits both syntactic and
    semantic information to build a single and meaningful embedding space. Using a
    dependency parser in combination with word embeddings, the model creates
    sequences of inputs for a Recurrent Neural Network, which are then used for the
    ranking purposes of the Task. The score obtained on the official test data
    shows promising results.},
    url       = {http://www.aclweb.org/anthology/S17-2048}
    }
    
  • Chiancone Andrea, Andrea Madotto
    A Multistrain Bacterial Model for Link Prediction
    ICNC-2016.
    [PDF] [BibTeX]

    @inproceedings{chiancone2015multistrain,
    title={A multistrain bacterial model for link prediction andrea chiancone},
    author={Chiancone, Andrea and Milani, Alfredo and Poggioni, Valentina and Pallottelli, Simonetta and Madotto, Andrea and Franzoni, Valentina},
    booktitle={Natural Computation (ICNC), 2015 11th International Conference on},
    pages={1075--1079},
    year={2015},
    organization={IEEE}
    }
    

Written Theses

  • M.Sc Thesis
    Question Dependent Recurrent Entity Network for Question Answering
    University of Pisa, 2017
    [PDF] [BibTeX]

    @phdthesis{Madotto2017,
    author = {Andrea Madotto},
    title = {Question Dependent Recurrent Entity Network for Question Answering},
    school = {University of Pisa},
    year = {2017}
    }
  • B.Sc. Thesis
    Facility location problem in a bi-dimensional mesh
    University of Perugia, 2015
    [ITA-PDF] [BibTeX]

    @BachelorThesis{Madotto2014,
    author = {Andrea Madotto},
    title = {Facility location problem in a bi-dimensional mesh},
    school = {University of Perugia},
    year = {2015}
    }