NLPExplorer

Fernando Alva Manchego

Number of Papers:- 27

Number of Citations:- 4

First ACL Paper:- 2016

Latest ACL Paper:- 2024

Venues:-

NAACL

SignLang

MTSummit

BEA

EMNLP

Findings

SemEval

READI

LREC

TSAR

ACL

EAMT

IJCNLP

AACL

Co-Authors:-

Similar Authors:-

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline BEA

An Extensible Massively Multilingual Lexical Simplification Pipeline Dataset using the MultiLS Framework READI WS

An Empirical Comparison of LM-based Question and Answer Generation Methods F i n d i n g s - A C L

Asahi Ushio | Fernando Alva-Manchego | Jose Camacho-Collados |

Comparing Generic and Expert Models for Genre-Specific Text Simplification TSAR WS

Zihao Li | Matthew Shardlow | Fernando Alva-Manchego |

A Practical Toolkit for Multilingual Question and Answer Generation ACL

Asahi Ushio | Fernando Alva-Manchego | Jose Camacho-Collados |

Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability TSAR WS

Sanja Štajner | Horacio Saggio | Matthew Shardlow | Fernando Alva-Manchego |

BLESS: Benchmarking Large Language Models on Sentence Simplification EMNLP

Towards Readability-Controlled Machine Translation of COVID-19 Texts EAMT

Fernando Alva-Manchego | Matthew Shardlow |

Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts LREC

Matthew Shardlow | Fernando Alva-Manchego |

PeruSIL: A Framework to Build a Continuous Peruvian Sign Language Interpretation Dataset LREC SignLang

Neural Readability Pairwise Ranking for Sentences in Italian Administrative Language AACL IJCNLP

Martina Miliani | Serena Auriemma | Fernando Alva-Manchego | Alessandro Lenci |

Improving Embeddings Representations for Comparing Higher Education Curricula: A Use Case in Computing EMNLP

Jeffri Murrugarra-Llerena | Fernando Alva-Manchego | Nils Murrugarra-LLerena |

Generative Language Models for Paragraph-Level Question Generation EMNLP

Asahi Ushio | Fernando Alva-Manchego | Jose Camacho-Collados |

Controllable Text Simplification with Explicit Paraphrasing NAACL

Mounica Maddela | Fernando Alva-Manchego | Wei Xu |

Validating Quality Estimation in a Computer-Aided Translation Workflow: Speed, Cost and Quality Trade-off MTSummit

IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction ACL IJCNLP SemEval

Kervy Rivas Rojas | Fernando Alva-Manchego |

Fernando Alva Manchego

Number of Papers:- 27

Number of Citations:- 4

First ACL Paper:- 2016

Latest ACL Paper:- 2024

Venues:-

Co-Authors:-

Similar Authors:-

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline BEA

An Extensible Massively Multilingual Lexical Simplification Pipeline Dataset using the MultiLS Framework READI WS

An Empirical Comparison of LM-based Question and Answer Generation Methods F i n d i n g s - A C L

Comparing Generic and Expert Models for Genre-Specific Text Simplification TSAR WS

A Practical Toolkit for Multilingual Question and Answer Generation ACL

Proceedings of the Second Workshop on Text Simplification, Accessibility and Readability TSAR WS

BLESS: Benchmarking Large Language Models on Sentence Simplification EMNLP

Towards Readability-Controlled Machine Translation of COVID-19 Texts EAMT

Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts LREC

PeruSIL: A Framework to Build a Continuous Peruvian Sign Language Interpretation Dataset LREC SignLang

Neural Readability Pairwise Ranking for Sentences in Italian Administrative Language AACL IJCNLP

Improving Embeddings Representations for Comparing Higher Education Curricula: A Use Case in Computing EMNLP

Generative Language Models for Paragraph-Level Question Generation EMNLP

Controllable Text Simplification with Explicit Paraphrasing NAACL

Validating Quality Estimation in a Computer-Aided Translation Workflow: Speed, Cost and Quality Trade-off MTSummit

IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction ACL IJCNLP SemEval

The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification CL

Knowledge Distillation for Quality Estimation Findings

deepQuest-py: Large and Distilled Models for Quality Estimation EMNLP

ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations ACL

Data-Driven Sentence Simplification: Survey and Benchmark CL

EASSE: Easier Automatic Sentence Simplification Evaluation EMNLP

Strong Baselines for Complex Word Identification across Multiple Languages NAACL

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop ACL

Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs IJCNLP

MASSAlign: Alignment and Annotation of Comparable Documents IJCNLP

Coh-Metrix-Esp: A Complexity Analysis Tool for Documents Written in Spanish LREC