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.
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
Coh-Metrix-Esp: A Complexity Analysis Tool for Documents Written in Spanish
LREC 2016
andre-quispesaravia
Towards Semi-supervised Brazilian Portuguese Semantic Role Labeling: Building a Benchmark
PROPOR 2012
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 …
Comparação de Grades Curriculares de Cursos de Computação Baseada em Agrupamento Hierárquico de Textos
WEI 2011
nils-murrugarra-llerena
Aplicando Minería de Textos en el Análisis de Mallas Curriculares de Carreras de Computación en el Perú
CSPC 2011
nils-murrugarra-llerena