Miguel Ballesteros
60 papers · 2012–2026 · 9 conferences · across top CS/AI conferences
Achievements
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(6)
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Conference Polyglot
(9)
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Academic Marathon
(13)
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Keyword Trendsetter Combo
(3)
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Dynamic Duo
(10)
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Topic Evolution
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Century Club
(59)
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Trend Setter
β
The Questioner
(3)
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Prolific Year
(7)
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Keyword Collector
(182)
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Unstoppable
(14)
Conferences
EMNLP (17)
NAACL (11)
ACL (9)
EACL (9)
COLING (4)
CONLL (3)
IJCNLP (3)
SEMEVAL (3)
ICML (1)
Top co-authors
Keywords
representation learning
(6)
dependency parsing
(5)
few-shot learning
(4)
transition-based parsing
(4)
multi-task learning
(4)
transfer learning
(3)
transformer architecture
(3)
syntactic parsing
(3)
emoji prediction
(3)
text classification
(3)
abstract meaning representation
(2)
part-of-speech tagging
(2)
domain adaptation
(2)
multimodal learning
(2)
natural language inference
(2)
neural machine translation
(2)
attention mechanism
(2)
named entity recognition
(2)
sentiment analysis
(2)
unsupervised learning
(2)
Papers
Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth
EACL 2026
Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models
ACL 2025
Active Evaluation Acquisition for Efficient LLM Benchmarking
ICML 2025
MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation
ACL 2025
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis
EACL 2024
Taxonomy Expansion for Named Entity Recognition
EMNLP 2023
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis
ACL 2023
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents
ACL 2023
Characterizing and Measuring Linguistic Dataset Drift
ACL 2023
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization
EACL 2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
EMNLP 2023
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
EACL 2023
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
NAACL 2022
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation
COLING 2022
Label Semantics for Few Shot Named Entity Recognition
ACL 2022
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
EACL 2021
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas
NAACL 2021
A Bag of Tricks for Dialogue Summarization
EMNLP 2021
Sequential Cross-Document Coreference Resolution
EMNLP 2021
How much pretraining data do language models need to learn syntax?
EMNLP 2021
On the evolution of syntactic information encoded by BERTβs contextualized representations
EACL 2021
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
EMNLP 2020
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
EMNLP 2020
Resource-Enhanced Neural Model for Event Argument Extraction
EMNLP 2020
Transition-based Parsing with Stack-Transformers
EMNLP 2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
EMNLP 2020
Recursive Subtree Composition in LSTM-Based Dependency Parsing
NAACL 2019
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning
ACL 2019
Neural language models as psycholinguistic subjects: Representations of syntactic state
NAACL 2019
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
NAACL 2019
IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing
CONLL 2018
Pieces of Eight: 8-bit Neural Machine Translation
NAACL 2018
Multilingual Neural Machine Translation with Task-Specific Attention
COLING 2018
Multimodal Emoji Prediction
NAACL 2018
Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP
ACL 2018
SemEval 2018 Task 2: Multilingual Emoji Prediction
SEMEVAL 2018
What Do Recurrent Neural Network Grammars Learn About Syntax?
EACL 2017
AMR Parsing using Stack-LSTMs
EMNLP 2017
Are Emojis Predictable?
EACL 2017
Transition-Based Dependency Parsing with Heuristic Backtracking
EMNLP 2016
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
EMNLP 2016
A Neural Network Architecture for Multilingual Punctuation Generation
EMNLP 2016
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
CONLL 2016
Recurrent Neural Network Grammars
NAACL 2016
Neural Architectures for Named Entity Recognition
NAACL 2016
Training with Exploration Improves a Greedy Stack LSTM Parser
EMNLP 2016
Visualizing Deep-Syntactic Parser Output
NAACL 2015
Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs
EMNLP 2015
Transition-based Spinal Parsing
CONLL 2015
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
ACL 2015
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
IJCNLP 2015
Data-driven sentence generation with non-isomorphic trees
NAACL 2015
Deep-Syntactic Parsing
COLING 2014
Automatic Feature Selection for Agenda-Based Dependency Parsing
COLING 2014
MaltDiver: A Transition-Based Parser Visualizer
IJCNLP 2013
Effective Morphological Feature Selection with MaltOptimizer at the SPMRL 2013 Shared Task
EMNLP 2013
Finding Dependency Parsing Limits over a Large Spanish Corpus
IJCNLP 2013
MaltOptimizer: An Optimization Tool for MaltParser
EACL 2012
UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation
SEMEVAL 2012
UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing
SEMEVAL 2012