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Researcher profile

Alessandro Sordoni

11 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Towards Information-Seeking Agents

    2016 · arXiv (Cornell University)

    We develop a general problem setting for training and testing the ability of agents to gather information efficiently. Specifically, we present a collection of tasks in which success requires searching through a partially-observed environment, for …

  2. Counting to Explore and Generalize in Text-based Games

    2018 · arXiv (Cornell University)

    We propose a recurrent RL agent with an episodic exploration mechanism that helps discovering good policies in text-based game environments. We show promising results on a set of generated text-based games of varying difficulty where …

  3. deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets

    2015 · arXiv (Cornell University)

    We introduce Discriminative BLEU (deltaBLEU), a novel metric for intrinsic evaluation of generated text in tasks that admit a diverse range of possible outputs. Reference strings are scored for quality by human raters on a …

  4. Exploring and Predicting Transferability across NLP Tasks

    2020

    Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020.

  5. A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

    2015

    Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human …

  6. A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion

    2015

    Users may strive to formulate an adequate textual query for their information need. Search engines assist the users by presenting query suggestions. To preserve the original search intent, suggestions should be context-aware and account for …

  7. NewsQA: A Machine Comprehension Dataset

    2017

    We present NewsQA, a challenging machine comprehension dataset of over 100,000 human-generated question-answer pairs. Crowdworkers supply questions and answers based on a set of over 10,000 news articles from CNN, with answers consisting of spans …

  8. Machine Comprehension by Text-to-Text Neural Question Generation

    2017

    Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler. Proceedings of the 2nd Workshop on Representation Learning for NLP. 2017.

  9. NewsQA: A Machine Comprehension Dataset

    2016 · arXiv (Cornell University)

    We present NewsQA, a challenging machine comprehension dataset of over 100,000 human-generated question-answer pairs. Crowdworkers supply questions and answers based on a set of over 10,000 news articles from CNN, with answers consisting of spans …

  10. Assessing Factoid Question-Answer Generation for Portuguese (Short Paper)

    2017 · arXiv (Cornell University)

    We propose a recurrent neural model that generates natural-language questions from documents, conditioned on answers. We show how to train the model using a combination of supervised and reinforcement learning. After teacher forcing for standard …

  11. Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models

    2016 · Proceedings of the AAAI Conference on Artificial Intelligence

    We investigate the task of building open domain, conversational dialogue systems based on large dialogue corpora using generative models. Generative models produce system responses that are autonomously generated word-by-word, opening up the possibility for realistic, …