Cover Image

Bringing Emerging Architectures to Sequence Labeling in NLP

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ezquerro, Ana, Gómez-Rodríguez, Carlos, Vilares, David
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dependency Graph Parsing as Sequence Labeling
by: Ezquerro, Ana, et al.
Published: (2024)

Hierarchical Bracketing Encodings Work for Dependency Graphs
by: Ezquerro, Ana, et al.
Published: (2025)

Better Benchmarking LLMs for Zero-Shot Dependency Parsing
by: Ezquerro, Ana, et al.
Published: (2025)

From Partial to Strictly Incremental Constituent Parsing
by: Ezquerro, Ana, et al.
Published: (2024)

LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal Emotion Linking as Graph-Based Parsing
by: Ezquerro, Ana, et al.
Published: (2024)

Hierarchical Bracketing Encodings for Dependency Parsing as Tagging
by: Ezquerro, Ana, et al.
Published: (2025)

Nested Named Entity Recognition as Single-Pass Sequence Labeling
by: Muñoz-Ortiz, Alberto, et al.
Published: (2025)

HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning
by: Correa-Guillén, Alexis, et al.
Published: (2025)

LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
by: Gude, Adrián, et al.
Published: (2025)

On the performance of phonetic algorithms in microtext normalization
by: Doval, Yerai, et al.
Published: (2024)

Contrasting Linguistic Patterns in Human and LLM-Generated News Text
by: Muñoz-Ortiz, Alberto, et al.
Published: (2023)

Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSA
by: Gómez-Rodríguez, Carlos, et al.
Published: (2024)

Select, Label, Evaluate: Active Testing in NLP
by: Purificato, Antonio, et al.
Published: (2026)

Adaptive scheduling for adaptive sampling in POS taggers construction
by: Ferro, Manuel Vilares, et al.
Published: (2024)

Absolute convergence and error thresholds in non-active adaptive sampling
by: Ferro, Manuel Vilares, et al.
Published: (2024)

Supervised In-Context Fine-Tuning for Generative Sequence Labeling
by: Dukić, David, et al.
Published: (2025)

Automated Scoring of Clinical Patient Notes using Advanced NLP and Pseudo Labeling
by: Xu, Jingyu, et al.
Published: (2024)

Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models
by: Kukić, Matija Luka, et al.
Published: (2026)

Divide et Impera: Multi-Transformer Architectures for Complex NLP-Tasks
by: Helland, Solveig, et al.
Published: (2023)

The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints
by: Marivate, Vukosi
Published: (2026)

Improving Transfer Learning for Sequence Labeling Tasks by Adapting Pre-trained Neural Language Models
by: Dukić, David
Published: (2025)

Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling
by: Dukić, David, et al.
Published: (2024)

Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations
by: Lai, Peichao, et al.
Published: (2025)

SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling
by: Liu, Mengyang, et al.
Published: (2022)

A Global Context Mechanism for Sequence Labeling
by: Xu, Conglei, et al.
Published: (2023)

Textless Dependency Parsing by Labeled Sequence Prediction
by: Kando, Shunsuke, et al.
Published: (2024)

From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP
by: Ganesan, Adithya V, et al.
Published: (2026)

TurkicNLP: An NLP Toolkit for Turkic Languages
by: Hakimov, Sherzod
Published: (2026)

The Nature of NLP: Analyzing Contributions in NLP Papers
by: Pramanick, Aniket, et al.
Published: (2024)

Langformers: Unified NLP Pipelines for Language Models
by: Lamsal, Rabindra, et al.
Published: (2025)

HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling
by: Ortiz-Barajas, Jesus-German, et al.
Published: (2024)

Culture is Not Trivia: Sociocultural Theory for Cultural NLP
by: Zhou, Naitian, et al.
Published: (2025)

From Noise to Signal to Selbstzweck: Reframing Human Label Variation in the Era of Post-training in NLP
by: Xu, Shanshan, et al.
Published: (2025)

Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
by: Gupta, Ashim, et al.
Published: (2023)

Beyond Consensus: Perspectivist Modeling and Evaluation of Annotator Disagreement in NLP
by: Xu, Yinuo, et al.
Published: (2026)

Foundations and Evaluations in NLP
by: Park, Jungyeul
Published: (2025)

NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)

AraFinNLP 2024: The First Arabic Financial NLP Shared Task
by: Malaysha, Sanad, et al.
Published: (2024)

Towards a Diagnostic and Predictive Evaluation Methodology for Sequence Labeling Tasks
by: Alvarez-Mellado, Elena, et al.
Published: (2026)

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks
by: Liu, Ziwei, et al.
Published: (2025)