Lucia Specia

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

Computational Linguistics

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Fernando Alva-Manchego

deepQuest-py: Large and Distilled Models for Quality Estimation

EMNLP 2021: System Demonstrations

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Fernando Alva-Manchego

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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Fernando Alva-Manchego

Knowledge Distillation for Quality Estimation

Findings of ACL-IJCNLP 2021

amit-gajbhiye

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

We introduce ASSET, a dataset for assessing sentence simplification in English. ASSET is a crowdsourced multi-reference corpus where each simplification was produced by executing …

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Fernando Alva-Manchego

Data-Driven Sentence Simplification: Survey and Benchmark

We survey research on Sentence Simplification, focusing on approaches that attempt to learn how to simplify using corpora of aligned original-simplified sentence pairs in English.

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Fernando Alva-Manchego

EASSE: Easier Automatic Sentence Simplification Evaluation

We introduce EASSE, a Python package aiming to facilitate and standardise automatic evaluation and comparison of Sentence Simplification systems.

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Fernando Alva-Manchego

Cross-Sentence Transformations in Text Simplification

WiNLP 2019

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Fernando Alva-Manchego

MASSAlign: Alignment and Annotation of Comparable Documents

IJCNLP 2017: System Demonstrations

gustavo-paetzold

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

IJCNLP 2017

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Fernando Alva-Manchego