Semantic Role Labeling for Brazilian Portuguese: A Benchmark. - Fernando Alva-Manchego; João Luís Garcia Rosa (IBERAMIA, 2012)

Towards Semi-supervised Brazilian Portuguese Semantic Role Labeling: Building a Benchmark. - Fernando Alva-Manchego; João Luís Garcia Rosa (PROPOR, 2012)

Coh-Metrix-Esp: A Complexity Analysis Tool for Documents Written in Spanish. - Andre Quispersaravia; Walter Perez; Marco Sobrevilla; Fernando Alva-Manchego (LREC, 2016)

SciEsp: Structural Analysis of Abstracts Written in Spanish. - Irvin Vargas-Campos; Fernando Alva-Manchego (Computación y Sistemas, 2016)

Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs. - Fernando Alva-Manchego; Joachim Bingel; Gustavo Paetzold; Carolina Scarton; Lucia Specia (IJCNLP(1), 2017)

MASSAlign: Alignment and Annotation of Comparable Documents. - Gustavo Paetzold; Fernando Alva-Manchego; Lucia Specia (IJCNLP (System Demonstrations), 2017)

Cross-Sentence Transformations in Text Simplification. - Fernando Alva-Manchego; Carolina Scarton; Lucia Specia (WNLP@ACL, 2019)

EASSE: Easier Automatic Sentence Simplification Evaluation. - Fernando Alva-Manchego; Louis Martin; Carolina Scarton; Lucia Specia (EMNLP/IJCNLP (3), 2019)

Strong Baselines for Complex Word Identification across Multiple Languages. - Pierre Finnimore; Elisabeth Fritzsch; Daniel King; Alison Sneyd; Aneeq Ur Rehman; Fernando Alva-Manchego; Andreas Vlachos 001 (NAACL-HLT (1), 2019)

ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations. - Fernando Alva-Manchego; Louis Martin; Antoine Bordes; Carolina Scarton; Benoît Sagot; Lucia Specia (ACL, 2020)

Data-Driven Sentence Simplification: Survey and Benchmark. - Fernando Alva-Manchego; Carolina Scarton; Lucia Specia (Comput. Linguistics, 2020)

Knowledge Distillation for Quality Estimation. - Amit Gajbhiye; Marina Fomicheva; Fernando Alva-Manchego; Frédéric Blain; Abiola Obamuyide; Nikolaos Aletras; Lucia Specia (ACL/IJCNLP (Findings), 2021)

deepQuest-py: Large and Distilled Models for Quality Estimation. - Fernando Alva-Manchego; Abiola Obamuyide; Amit Gajbhiye; Frédéric Blain; Marina Fomicheva; Lucia Specia (EMNLP (Demos), 2021)

Controllable Text Simplification with Explicit Paraphrasing. - Mounica Maddela; Fernando Alva-Manchego; Wei Xu 004 (NAACL-HLT, 2021)

IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction. - Kervy Rivas Rojas; Fernando Alva-Manchego (SemEval@ACL/IJCNLP, 2021)

The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification. - Fernando Alva-Manchego; Carolina Scarton; Lucia Specia (Comput. Linguistics, 2021)

Towards Readability-Controlled Machine Translation of COVID-19 Texts. - Fernando Alva-Manchego; Matthew Shardlow (EAMT, 2022)

Improving Embeddings Representations for Comparing Higher Education Curricula: A Use Case in Computing. - Jeffri Murrugarra-Llerena; Fernando Alva-Manchego; Nils Murrugarra-Llerena (EMNLP, 2022)

Generative Language Models for Paragraph-Level Question Generation. - Asahi Ushio; Fernando Alva-Manchego; José Camacho-Collados (EMNLP, 2022)

Neural Readability Pairwise Ranking for Sentences in Italian Administrative Language. - Martina Miliani; Serena Auriemma; Fernando Alva-Manchego; Alessandro Lenci (AACL/IJCNLP (1), 2022)

Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts. - Matthew Shardlow; Fernando Alva-Manchego (LREC, 2022)

Overview of ReCoRES at IberLEF 2022: Reading Comprehension and Reasoning Explanation for Spanish. - Marco Antonio Sobrevilla Cabezudo; Diego Diestra; Rodrigo López; Erasmo Gómez; Arturo Oncevay; Fernando Alva-Manchego (Proces. del Leng. Natural, 2022)

An Empirical Comparison of LM-based Question and Answer Generation Methods. - Asahi Ushio; Fernando Alva-Manchego; José Camacho-Collados (ACL (Findings), 2023)

A Practical Toolkit for Multilingual Question and Answer Generation. - Asahi Ushio; Fernando Alva-Manchego; José Camacho-Collados (ACL (demo), 2023)

Simplifying Administrative Texts for Italian L2 Readers with Controllable Transformers Models: A Data-driven Approach. - Martina Miliani; Fernando Alva-Manchego; Alessandro Lenci (CLiC-it, 2023)

BLESS: Benchmarking Large Language Models on Sentence Simplification. - Tannon Kew; Alison Chi; Laura Vásquez-Rodríguez; Sweta Agrawal; Dennis Aumiller; Fernando Alva-Manchego; Matthew Shardlow (EMNLP, 2023)

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline. - Matthew Shardlow; Fernando Alva-Manchego; Riza Batista-Navarro; Stefan Bott; Saúl Calderón Ramírez; Rémi Cardon; Thomas François; Akio Hayakawa; Andrea Horbach; Anna Hülsing; Yusuke Ide; Joseph Marvin Imperial; et al. (BEA, 2024)

Analysing Zero-Shot Readability-Controlled Sentence Simplification. - Abdullah Barayan; José Camacho-Collados; Fernando Alva-Manchego (COLING, 2025)

Adapting Sentence-level Automatic Metrics for Document-level Simplification Evaluation. - Mounica Maddela; Fernando Alva-Manchego (NAACL (Long Papers), 2025)

UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment. - Joseph Marvin Imperial; Abdullah Barayan; Regina Stodden; Rodrigo Wilkens; Ricardo Muñoz Sánchez; Lingyun Gao; Melissa Torgbi; Dawn Knight; Gail Forey; Reka R. Jablonkai; Ekaterina Kochmar; Robert Reynolds 001; et al. (CoRR, 2025)