Miguel Ballesteros

Orcid: 0000-0003-3949-0361

According to our database1, Miguel Ballesteros authored at least 93 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
General Purpose Verification for Chain of Thought Prompting.
CoRR, 2024

NewsQs: Multi-Source Question Generation for the Inquiring Mind.
CoRR, 2024

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment.
CoRR, 2023

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Comparing Biases and the Impact of Multilingual Training across Multiple Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Taxonomy Expansion for Named Entity Recognition.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Characterizing and Measuring Linguistic Dataset Drift.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection.
CoRR, 2022

Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Label Semantics for Few Shot Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

How much pretraining data do language models need to learn syntax?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Bag of Tricks for Dialogue Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Sequential Cross-Document Coreference Resolution.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

On the evolution of syntactic information encoded by BERT's contextualized representations.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Resource-Enhanced Neural Model for Event Argument Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

2019
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Recursive Subtree Composition in LSTM-Based Dependency Parsing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural language models as psycholinguistic subjects: Representations of syntactic state.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Scheduled Multi-Task Learning: From Syntax to Translation.
Trans. Assoc. Comput. Linguistics, 2018

SemEval 2018 Task 2: Multilingual Emoji Prediction.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Pieces of Eight: 8-bit Neural Machine Translation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Multimodal Emoji Prediction.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing.
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018

Multilingual Neural Machine Translation with Task-Specific Attention.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
DyNet: The Dynamic Neural Network Toolkit.
CoRR, 2017

Greedy Transition-Based Dependency Parsing with Stack LSTMs.
Comput. Linguistics, 2017

Arc-Standard Spinal Parsing with Stack-LSTMs.
Proceedings of the 15th International Conference on Parsing Technologies, 2017

AMR Parsing using Stack-LSTMs.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

What Do Recurrent Neural Network Grammars Learn About Syntax?
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Are Emojis Predictable?
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes.
Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2016
Many Languages, One Parser.
Trans. Assoc. Comput. Linguistics, 2016

MaltOptimizer: Fast and effective parser optimization.
Nat. Lang. Eng., 2016

Data-driven deep-syntactic dependency parsing.
Nat. Lang. Eng., 2016

Static and Dynamic Feature Selection in Morphosyntactic Analyzers.
CoRR, 2016

One Parser, Many Languages.
CoRR, 2016

Dytective: diagnosing risk of dyslexia with a game.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

Neural Architectures for Named Entity Recognition.
Proceedings of the NAACL HLT 2016, 2016

Recurrent Neural Network Grammars.
Proceedings of the NAACL HLT 2016, 2016

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Transition-Based Dependency Parsing with Heuristic Backtracking.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Neural Network Architecture for Multilingual Punctuation Generation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Training with Exploration Improves a Greedy Stack LSTM Parser.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Multilingual Natural Language Generation within Abstractive Summarization.
Proceedings of the 1st International Workshop on Multimodal Media Data Analytics co-located with the 22nd European Conference on Artificial Intelligence, 2016

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Towards Multilingual Natural Language Generation Within Abstractive Summarization.
Proceedings of the Artificial Intelligence Research and Development, 2016

2015
Detecting readers with dyslexia using machine learning with eye tracking measures.
Proceedings of the 12th Web for All Conference, 2015

Visualizing Deep-Syntactic Parser Output.
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

Data-driven sentence generation with non-isomorphic trees.
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

Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Transition-based Spinal Parsing.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

A Spellchecker for Dyslexia.
Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, 2015

Transition-Based Dependency Parsing with Stack Long Short-Term Memory.
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
ViZPar: A GUI for ZPar with Manual Feature Selection.
Proces. del Leng. Natural, 2014

Classifiers for data-driven deep sentence generation.
Proceedings of the INLG 2014, 2014

Deep-Syntactic Parsing.
Proceedings of the COLING 2014, 2014

Automatic Feature Selection for Agenda-Based Dependency Parsing.
Proceedings of the COLING 2014, 2014

2013
Extracting Drug-Drug interaction from text using negation features.
Proces. del Leng. Natural, 2013

Exploring Automatic Feature Selection for Transition-Based Dependency Parsing.
Proces. del Leng. Natural, 2013

Going to the Roots of Dependency Parsing.
Comput. Linguistics, 2013

Finding Dependency Parsing Limits over a Large Spanish Corpus.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

MaltDiver: A Transition-Based Parser Visualizer.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Exploring Morphosyntactic Annotation over a Spanish Corpus for Dependency Parsing.
Proceedings of the Second International Conference on Dependency Linguistics, 2013

Effective Morphological Feature Selection with MaltOptimizer at the SPMRL 2013 Shared Task.
Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically-Rich Languages, 2013

2012
Analyzing the CoNLL-X Shared Task from a Sentence Accuracy Perspective.
Proces. del Leng. Natural, 2012

Are the existing training corpora unnecessarily large?
Proces. del Leng. Natural, 2012

Optimizing Planar and 2-Planar Parsers with MaltOptimizer.
Proces. del Leng. Natural, 2012

UCM at TREC 2012: Does Negation Influence The Retrieval of Medical Reports?
Proceedings of The Twenty-First Text REtrieval Conference, 2012

UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

MaltOptimizer: A System for MaltParser Optimization.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

MaltOptimizer: An Optimization Tool for MaltParser.
Proceedings of the EACL 2012, 2012

Inferring the Scope of Negation in Biomedical Documents.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2012

2011
Inferring the Scope of Negation and Speculation Via Dependency Analysis.
Proces. del Leng. Natural, 2011

Inferring the Scope of Speculation using Dependency Analysis.
Proceedings of the KDIR 2011, 2011

A Proposal for a Spanish Surface Realization Shared Task.
Proceedings of the ENLG 2011, 2011

2010
Improving Parsing Accuracy for Spanish using Maltparser.
Proces. del Leng. Natural, 2010

Towards an N-Version Dependency Parser.
Proceedings of the Text, Speech and Dialogue, 13th International Conference, 2010

A Feasibility Study on Low Level Techniques for Improving Parsing Accuracy for Spanish Using Maltparser.
Proceedings of the Artificial Intelligence: Theories, 2010

Giving Shape to an N-version Dependency Parser - Improving Dependency Parsing Accuracy for Spanish using Maltparser.
Proceedings of the KDIR 2010, 2010

Text Simplification using Dependency Parsing for Spanish.
Proceedings of the KDIR 2010, 2010


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