Publications

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

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

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Zihao LI, Matthew Shardlow, Fernando Alva-Manchego (2023). Comparing Generic and Expert Models for Genre-Specific Text Simplification. TSAR 2023.

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

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Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados (2023). A Practical Toolkit for Multilingual Question and Answer Generation. ACL 2023: System Demonstrations.

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

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

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Laura Vásquez-Rodríguez, Pedro-Manuel Cuenca-Jiménez, Sergio Esteban Morales-Esquivel, Fernando Alva-Manchego (2022). A Benchmark for Neural Readability Assessment of Texts in Spanish. TSAR 2022.

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

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Gissella Bejarano, Joe Huamani-Malca, Francisco Cerna-Herrera, Fernando Alva-Manchego, Pablo Rivas (2022). PeruSIL: A Framework to Build a Continuous Peruvian Sign Language Interpretation Dataset. SignLang 2022.

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

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

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

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

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Fernando Alva-Manchego, Lucia Specia, Sara Szoc, Tom Vanallemeersch, Heidi Depraetere (2021). Validating Quality Estimation in a Computer-Aided Translation Workflow: Speed, Cost and Quality Trade-off. MT Summit XVIII: Users and Providers Track.

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

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

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

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Fernando Alva-Manchego (2020). Automatic Sentence Simplification with Multiple Rewriting Transformations. PhD Thesis.

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

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

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

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Fernando Alva-Manchego, Carolina Scarton, Lucia Specia (2019). Cross-Sentence Transformations in Text Simplification. WiNLP 2019.

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

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

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

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

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

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Fernando Alva-Manchego (2013). Anotação Automática Semissupervisionada de Papéis Semânticos para o Português do Brasil. Master’s Thesis.

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

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

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Nils Murrugarra-Llerena, Fernando Alva-Manchego, Solange O. Rezende (2011). Comparação de Grades Curriculares de Cursos de Computação Baseada em Agrupamento Hierárquico de Textos. WEI 2011.

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Nils Murrugarra-Llerena, Fernando Alva-Manchego (2011). Aplicando Minería de Textos en el Análisis de Mallas Curriculares de Carreras de Computación en el Perú. CSPC 2011.

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