Alessandro Sordoni

According to our database1, Alessandro Sordoni authored at least 45 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Recursive Top-Down Production for Sentence Generation with Latent Trees.
CoRR, 2020

Exploring and Predicting Transferability across NLP Tasks.
CoRR, 2020

Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation.
CoRR, 2020

Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Report on the First HIPstIR Workshop on the Future of Information Retrieval.
CoRR, 2019

Robust Natural Language Inference Models with Example Forgetting.
CoRR, 2019

Ordered Memory.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Metalearned Neural Memory.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Empirical Study of Example Forgetting during Deep Neural Network Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
VFunc: a Deep Generative Model for Functions.
CoRR, 2018

Counting to Explore and Generalize in Text-based Games.
CoRR, 2018

Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Towards Text Generation with Adversarially Learned Neural Outlines.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.
Proceedings of the 35th International Conference on Machine Learning, 2018

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

Twin Networks: Matching the Future for Sequence Generation.
Proceedings of the 6th International Conference on Learning Representations, 2018

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Twin Networks: Using the Future as a Regularizer.
CoRR, 2017

Machine Comprehension by Text-to-Text Neural Question Generation.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

NewsQA: A Machine Comprehension Dataset.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Z-Forcing: Training Stochastic Recurrent Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Algorithms for Active Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Iterative Alternating Neural Attention for Machine Reading.
CoRR, 2016

Towards Information-Seeking Agents.
CoRR, 2016

Natural Language Comprehension with the EpiReader.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Constraining Word Embeddings by Prior Knowledge - Application to Medical Information Retrieval.
Proceedings of the Information Retrieval Technology, 2016

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Hierarchical Neural Network Generative Models for Movie Dialogues.
CoRR, 2015

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Compact Aspect Embedding for Diversified Query Expansions.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Universite de Montreal at TREC 2013: Experiments with Quantum Language Models in the Web Track.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Modeling term dependencies with quantum language models for IR.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Looking at Vector Space and Language Models for IR Using Density Matrices.
Proceedings of the Quantum Interaction - 7th International Conference, 2013

Modeling latent topic interactions using quantum interference for information retrieval.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
A visual tool for bayesian data analysis: the impact of smoothing on naive bayes text classifiers.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

How Well Do We Know Bernoulli?
Proceedings of the 3rd Italian Information Retrieval Workshop, 2012

2010
Design of a Participatory Decision Making Agent Architecture Based on Argumentation and Influence Function - Application to a Serious Game about Biodiversity Conservation.
RAIRO Oper. Res., 2010

2009
A Serious Game for Exploring and Training in Participatory Management of National Parks for Biodiversity Conservation: Design and Experience.
Proceedings of the VIII Brazilian Symposium on Games and Digital Entertainment, 2009

Design of a Decision Maker Agent for a Distributed Role Playing Game - Experience of the SimParc Project.
Proceedings of the Agents for Games and Simulations, 2009


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