Paper-Conference

Controllable Text Simplification with Explicit Paraphrasing

Text Simplification improves the readability of sentences through several rewriting transformations, such as lexical paraphrasing, deletion, and splitting. Current simplification …

mounica-maddela

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

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

Strong Baselines for Complex Word Identification across Multiple Languages

NAACL 2019

pierre-finnimore

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

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

LREC 2016

andre-quispesaravia

Semantic Role Labeling for Brazilian Portuguese: A Benchmark

One of the main research challenges in Semantic Role Labeling (SRL) is the development of systems for languages other than English. For Brazilian Portuguese, a corpus with …

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Fernando Alva-Manchego