7 citations · 23 across the 10 of their papers we have counts for
11 papers
UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment
Joseph Marvin Imperial, Abdullah Barayan, Regina Stodden +16
We introduce UniversalCEFR, a large-scale multilingual and multidimensional dataset of texts annotated with CEFR (Common European Framework of Reference) levels in 13 languages. To…
Analysing Zero-Shot Readability-Controlled Sentence Simplification
Abdullah Barayan, Jose Camacho-Collados, Fernando Alva-Manchego
Readability-controlled text simplification (RCTS) rewrites texts to lower readability levels while preserving their meaning. RCTS models often depend on parallel corpora with reada…
BLESS: Benchmarking Large Language Models on Sentence Simplification
Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez +4
We present BLESS, a comprehensive performance benchmark of the most recent state-of-the-art large language models (LLMs) on the task of text simplification (TS). We examine how wel…
A Practical Toolkit for Multilingual Question and Answer Generation
Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados
Generating questions along with associated answers from a text has applications in several domains, such as creating reading comprehension tests for students, or improving document…
An Empirical Comparison of LM-based Question and Answer Generation Methods
Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados
Question and answer generation (QAG) consists of generating a set of question-answer pairs given a context (e.g. a paragraph). This task has a variety of applications, such as data…
Generative Language Models for Paragraph-Level Question Generation
Asahi Ushio, Fernando Alva-Manchego, Jose Camacho-Collados
Powerful generative models have led to recent progress in question generation (QG). However, it is difficult to measure advances in QG research since there are no standardized reso…
Knowledge Distillation for Quality Estimation
Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego +4
Quality Estimation (QE) is the task of automatically predicting Machine Translation quality in the absence of reference translations, making it applicable in real-time settings, su…
Controllable Text Simplification with Explicit Paraphrasing
Mounica Maddela, Fernando Alva-Manchego, Wei Xu
Text Simplification improves the readability of sentences through several rewriting transformations, such as lexical paraphrasing, deletion, and splitting. Current simplification s…
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
Fernando Alva-Manchego, Louis Martin, Antoine Bordes +3
In order to simplify a sentence, human editors perform multiple rewriting transformations: they split it into several shorter sentences, paraphrase words (i.e. replacing complex wo…
EASSE: Easier Automatic Sentence Simplification Evaluation
Fernando Alva-Manchego, Louis Martin, Carolina Scarton +1
We introduce EASSE, a Python package aiming to facilitate and standardise automatic evaluation and comparison of Sentence Simplification (SS) systems. EASSE provides a single acces…
Strong Baselines for Complex Word Identification across Multiple Languages
Pierre Finnimore, Elisabeth Fritzsch, Daniel King +4
Complex Word Identification (CWI) is the task of identifying which words or phrases in a sentence are difficult to understand by a target audience. The latest CWI Shared Task relea…