2 citations · 6 across the 7 of their papers we have counts for
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A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions
Papa Abdou Karim Karou Diallo, Samuel Reyd, Amal Zouaq
In recent years, the field of neural machine translation (NMT) for SPARQL query generation has witnessed significant growth. Incorporating the copy mechanism with traditional encod…
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation
Rose Hirigoyen, Amal Zouaq, Samuel Reyd
Neural Machine Translation (NMT) models from English to SPARQL are a promising development for SPARQL query generation. However, current architectures are unable to integrate the k…
Local Structure Matters Most in Most Languages
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq +1
Many recent perturbation studies have found unintuitive results on what does and does not matter when performing Natural Language Understanding (NLU) tasks in English. Coding prope…
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes
Louis Clouâtre, Prasanna Parthasarathi, Amal Zouaq +1
Providing better language tools for low-resource and endangered languages is imperative for equitable growth. Recent progress with massively multilingual pretrained models has prov…
Local Structure Matters Most: Perturbation Study in NLU
Louis Clouatre, Prasanna Parthasarathi, Amal Zouaq +1
Recent research analyzing the sensitivity of natural language understanding models to word-order perturbations has shown that neural models are surprisingly insensitive to the orde…
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
Louis Clouatre, Philippe Trempe, Amal Zouaq +1
Knowledge Bases (KBs) are easy to query, verifiable, and interpretable. They however scale with man-hours and high-quality data. Masked Language Models (MLMs), such as BERT, scale…
An Analysis of the Semantic Annotation Task on the Linked Data Cloud
Gagnon Michel, Zouaq Amal, Aranha Francisco +2
Semantic annotation, the process of identifying key-phrases in texts and linking them to concepts in a knowledge base, is an important basis for semantic information retrieval and…