Cícero Nogueira dos Santos

According to our database1, Cícero Nogueira dos Santos authored at least 73 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Memory Augmented Language Models through Mixture of Word Experts.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts.
CoRR, 2022

Counterfactual Data Augmentation improves Factuality of Abstractive Summarization.
CoRR, 2022

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Joint Text and Label Generation for Spoken Language Understanding.
CoRR, 2021

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Structured Prediction as Translation between Augmented Natural Languages.
Proceedings of the 9th International Conference on Learning Representations, 2021

Generative Context Pair Selection for Multi-hop Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Entity-level Factual Consistency of Abstractive Text Summarization.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Improving Factual Consistency of Abstractive Summarization via Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contrastive Fine-tuning Improves Robustness for Neural Rankers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
CoRR, 2020

Embedding-based Zero-shot Retrieval through Query Generation.
CoRR, 2020

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR, 2020

Covering the News with (AI) Style.
CoRR, 2020

Unsupervised Domain Adaptation for Cross-lingual Text Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Beyond [CLS] through Ranking by Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DualTKB: A Dual Learning Bridge between Text and Knowledge Base.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Augmented Natural Language for Generative Sequence Labeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Implicit Text Generation via Feature Matching.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Sobolev Independence Criterion.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Wasserstein Barycenter Model Ensembling.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Implicit Generative Models by Matching Perceptual Features.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Assessing the Impact of Contextual Embeddings for Portuguese Named Entity Recognition.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences.
CoRR, 2018

Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Improved Neural Text Attribute Transfer with Non-parallel Data.
CoRR, 2017

Improved Answer Selection with Pre-Trained Word Embeddings.
CoRR, 2017

Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks.
CoRR, 2017

Domain adaptation of POS taggers without handcrafted features.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Structured Self-Attentive Sentence Embedding.
Proceedings of the 5th International Conference on Learning Representations, 2017

Improved Neural Relation Detection for Knowledge Base Question Answering.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Boosting Docking-Based Virtual Screening with Deep Learning.
J. Chem. Inf. Model., 2016

Attentive Pooling Networks.
CoRR, 2016

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Improved Representation Learning for Question Answer Matching.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Detecting Semantically Equivalent Questions in Online User Forums.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Boosting Named Entity Recognition with Neural Character Embeddings.
Proceedings of the Fifth Named Entity Workshop, 2015

Classifying Relations by Ranking with Convolutional Neural Networks.
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

Learning Hybrid Representations to Retrieve Semantically Equivalent Questions.
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
Latent Trees for Coreference Resolution.
Comput. Linguistics, 2014

Think Positive: Towards Twitter Sentiment Analysis from Scratch.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Training State-of-the-Art Portuguese POS Taggers without Handcrafted Features.
Proceedings of the Computational Processing of the Portuguese Language, 2014

Learning Character-level Representations for Part-of-Speech Tagging.
Proceedings of the 31th International Conference on Machine Learning, 2014

Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts.
Proceedings of the COLING 2014, 2014

2013
A simulation-based approach to analyze the information diffusion in Microblogging Online Social Network.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Large-Scale Multi-agent-Based Modeling and Simulation of Microblogging-Based Online Social Network.
Proceedings of the Multi-Agent-Based Simulation XIV - International Workshop, 2013

Reaction times for user behavior models in microblogging online social networks.
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, 2013

2012
A Hybrid Approach of Verbal Decision Analysis and Machine Learning.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution.
Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Entropy Guided Transformation Learning - Algorithms and Applications.
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-2977-6, 2012

2011
Rule and Tree Ensembles for Unrestricted Coreference Resolution.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

2010
A Machine Learning Approach to Portuguese Clause Identification.
Proceedings of the Computational Processing of the Portuguese Language, 2010

ETL Ensembles for Chunking, NER and SRL.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2010

2009
Entropy Guided Transformation Learning.
Proceedings of the Foundations of Computational Intelligence, 2009

2008
Portuguese Corpus-Based Learning Using ETL.
J. Braz. Comput. Soc., 2008

Portuguese Part-of-Speech Tagging Using Entropy Guided Transformation Learning.
Proceedings of the Computational Processing of the Portuguese Language, 2008

Phrase Chunking Using Entropy Guided Transformation Learning.
Proceedings of the ACL 2008, 2008

2007
Evolutionary TBL Template Generation.
J. Braz. Comput. Soc., 2007

Probabilistic Classifications with TBL.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2007

TBL Template Selection: An Evolutionary Approach.
Proceedings of the Current Topics in Artificial Intelligence, 2007

2006
A Set of NP-Extraction Rules for Portuguese: Defining, Learning and Pruning.
Proceedings of the Computational Processing of the Portuguese Language, 2006

Semi-supervised Learning for Portuguese Noun Phrase Extraction.
Proceedings of the Computational Processing of the Portuguese Language, 2006

A Machine Learning Approach to the Identification of Appositives.
Proceedings of the Advances in Artificial Intelligence, 2006

2005
Constrained Atomic Term: Widening the Reach of Rule Templates in Transformation Based Learning.
Proceedings of the Progress in Artificial Intelligence, 2005


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