Although there has been much work in recent years on data-driven natural language
generation, little attention has been paid to the fine-grained interactions that arise during …

We present a novel algorithm for surface realisation with lexicalist grammars. In this
algorithm, the structure of the input is used both top-down to constrain the selection of …

We present an intelligent NLI interface, namely Quelo NLI, for querying and exploring
semantic data. Its intelligence lies in the use of reasoning services over an ontology. These …

In recent years, error mining approaches were developed to help identify the most likely
sources of parsing failures in parsing systems using handcrafted grammars and lexicons …

La génération automatique de texte (GAT) produit du texte en langue naturelle destiné aux
humains à partir de données non langagières. L'objectif de la GAT est de concevoir des …

We present a natural language generation system which supports the incremental
specification of ontology-based queries in natural language. Our contribution is two fold …

Feature-based regular tree grammars (FRTG) can be used to generate the derivation trees
of a feature-based tree adjoining grammar (FTAG). We make use of this fact to specify and …

Abstract We construct an Abstract Categorial Grammar (ACG) that interrelates Tree
Adjoining Grammar (TAG) and Higher Order Logic (HOL) formulas encoding Abstract …

This paper presents an encoding of Generation-TAG (G-TAG) within Abstract Categorial
Grammars (ACG). We show how the key notions of G-TAG have a natural interpretation in …

G-TAG est un formalisme dédié à la génération de textes. Il s' appuie sur les Grammaires
d'Arbres Adjoints (TAG) qu'il étend avec des notions propres permettant de construire une …