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.
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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.
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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