Ramón Fernandez Astudillo

Orcid: 0000-0001-9443-2346

Affiliations:
  • INESC-ID, Lisboa, Spoken Language Systems Laboratory
  • TU Berlin, Electronics and Medical Signal Processing


According to our database1, Ramón Fernandez Astudillo authored at least 82 papers between 2009 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Multi-Document Grounded Multi-Turn Synthetic Dialog Generation.
CoRR, 2024

The Future of Open Human Feedback.
CoRR, 2024

Self-Refinement of Language Models from External Proxy Metrics Feedback.
CoRR, 2024

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Grounded Preference Model for LLM Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs.
CoRR, 2023

Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency.
CoRR, 2023

Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing.
CoRR, 2023

AMR Parsing with Instruction Fine-tuned Pre-trained Language Models.
CoRR, 2023

Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Alignment via Mutual Information.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
DocAMR: Multi-Sentence AMR Representation and Evaluation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Maximum Bayes Smatch Ensemble Distillation for AMR Parsing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Inducing and Using Alignments for Transition-based AMR Parsing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Learning to Transpile AMR into SPARQL.
CoRR, 2021

Ensembling Graph Predictions for AMR Parsing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AMR Parsing with Action-Pointer Transformer.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Eat: Enhanced ASR-TTS for Self-Supervised Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Bootstrapping Multilingual AMR with Contextual Word Alignments.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Structural Guidance for Transformer Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021


2020
Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning.
CoRR, 2020

Pushing the Limits of AMR Parsing with Self-Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Transition-based Parsing with Stack-Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

On the Importance of Diversity in Question Generation for QA.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

GPT-too: A Language-Model-First Approach for AMR-to-Text Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Self-supervised Sequence-to-sequence ASR using Unpaired Speech and Text.
CoRR, 2019

Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Cycle-consistency Training for End-to-end Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Findings of the WMT 2018 Shared Task on Quality Estimation.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Back-Translation-Style Data Augmentation for end-to-end ASR.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

2017
Pushing the Limits of Translation Quality Estimation.
Trans. Assoc. Comput. Linguistics, 2017

Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces.
CoRR, 2017

A Semi-Supervised Learning Approach for Acoustic-Prosodic Personality Perception in Under-Resourced Domains.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Segment Level Voice Conversion with Recurrent Neural Networks.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

An improved uncertainty decoding scheme with weighted samples for multi-channel DNN-HMM hybrid systems.
Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017

Fusion of Simple Models for Native Language Identification.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

2016
Uncertain LDA: Including Observation Uncertainties in Discriminative Transforms.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems.
CoRR, 2016

Unbabel's Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task.
Proceedings of the First Conference on Machine Translation, 2016

INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Exploiting Phone Log-Likelihood Ratio Features for the Detection of the Native Language of Non-Native English Speakers.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A new uncertainty decoding scheme for DNN-HMM hybrid systems with multichannel speech enhancement.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Acoustic-Prosodic Automatic Personality Trait Assessment for Adults and Children.
Proceedings of the Advances in Speech and Language Technologies for Iberian Languages, 2016

Crowdsourced Video Subtitling with Adaptation Based on User-Corrected Lattices.
Proceedings of the Advances in Speech and Language Technologies for Iberian Languages, 2016

2015
Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation.
CoRR, 2015

INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Uncertainty decoding for DNN-HMM hybrid systems based on numerical sampling.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Robust speech processing using observation uncertainty and uncertainty propagation: session and paper overview.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Integration of DNN based speech enhancement and ASR.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces.
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
The DIRHA-GRID corpus: baseline and tools for multi-room distant speech recognition using distributed microphones.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Accounting for the residual uncertainty of multi-layer perceptron based features.
Proceedings of the IEEE International Conference on Acoustics, 2014

Recognition of Distant Voice Commands for Home Applications in Portuguese.
Proceedings of the Advances in Speech and Language Technologies for Iberian Languages, 2014

2013
Corpus-Based Speech Enhancement With Uncertainty Modeling and Cepstral Smoothing.
IEEE Trans. Speech Audio Process., 2013

Computing MMSE Estimates and Residual Uncertainty Directly in the Feature Domain of ASR using STFT Domain Speech Distortion Models.
IEEE Trans. Speech Audio Process., 2013

Noise-Adaptive LDA: A New Approach for Speech Recognition Under Observation Uncertainty.
IEEE Signal Process. Lett., 2013

An Extension of STFT Uncertainty Propagation for GMM-Based Super-Gaussian a Priori Models.
IEEE Signal Process. Lett., 2013

Integration of beamforming and uncertainty-of-observation techniques for robust ASR in multi-source environments.
Comput. Speech Lang., 2013

The L2F Spoken Web Search System for Mediaeval 2013.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

On the relation between speech corruption models in the spectral and the cepstral domain.
Proceedings of the IEEE International Conference on Acoustics, 2013

A propagation approach to modelling the joint distributions of clean and corrupted speech in the Mel-Cepstral domain.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
The L2F Spoken Web Search system for Mediaeval 2012.
Proceedings of the Working Notes Proceedings of the MediaEval 2012 Workshop, 2012

Uncertainty driven Compensation of Multi-Stream MLP Acoustic Models for Robust ASR.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Inventory-style speech enhancement with uncertainty-of-observation techniques.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Integration of beamforming and automatic speech recognition through propagation of the wiener posterior.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Propagation of Uncertainty Through Multilayer Perceptrons for Robust Automatic Speech Recognition.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Use of Missing and Unreliable Data for Audiovisual Speech Recognition.
Proceedings of the Robust Speech Recognition of Uncertain or Missing Data, 2011

Uncertainty Propagation.
Proceedings of the Robust Speech Recognition of Uncertain or Missing Data, 2011

2010
Integration of short-time Fourier domain speech enhancement and observation uncertainty techniques for robust automatic speech recognition.
PhD thesis, 2010

An Uncertainty Propagation Approach to Robust ASR Using the ETSI Advanced Front-End.
IEEE J. Sel. Top. Signal Process., 2010

Independent Component Analysis and Time-Frequency Masking for Speech Recognition in Multitalker Conditions.
EURASIP J. Audio Speech Music. Process., 2010

A MMSE estimator in mel-cepstral domain for robust large vocabulary automatic speech recognition using uncertainty propagation.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Missing Feature Audiovisual Speech Recognition under Real-Time Constraints.
Proceedings of the 9. ITG-Fachtagung Sprachkommunikation 2010, 2010

2009
Speech Enhancement for Automatic Speech Recognition Using Complex Gaussian Mixture Priors for Noise and Speech.
Proceedings of the Advances in Nonlinear Speech Processing, 2009

Accounting for the uncertainty of speech estimates in the complex domain for minimum mean square error speech enhancement.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009


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