[ספר][B] Named entities for computational linguistics
One of the challenges brought on by the digital revolution of the recent decades is the
mechanism by which information carried by texts can be extracted in order to access its …
mechanism by which information carried by texts can be extracted in order to access its …
Automatic reconstruction of itineraries from descriptive texts
L Moncla - 2015 - theses.hal.science
This PhD thesis is part of the research project PERDIDO, which aims at extracting and
retrieving displacements from textual documents. This work was conducted in collaboration …
retrieving displacements from textual documents. This work was conducted in collaboration …
Comparing supervised learning algorithms for spatial nominal entity recognition
Discourse may contain both named and nominal entities. Most common nouns or nominal
mentions in natural language do not have a single, simple meaning but rather a number of …
mentions in natural language do not have a single, simple meaning but rather a number of …
Geoparsing and geocoding places in a dynamic space context: The case of hiking descriptions
The backbone of the proposal in this chapter is an automatic parser and a formal encoder of
information describing places, spatial and verbal relations in textual documents in order to …
information describing places, spatial and verbal relations in textual documents in order to …
Pattern mining for named entity recognition
Many evaluation campaigns have shown that knowledge-based and data-driven
approaches remain equally competitive for Named Entity Recognition. Our research team …
approaches remain equally competitive for Named Entity Recognition. Our research team …
A semi-automatic and low-cost method to learn patterns for named entity recognition
Named Entity Recognition is a basic task in Information Extraction that aims at identifying
entities of interest within full text documents. The patterns used to recognize entities can be …
entities of interest within full text documents. The patterns used to recognize entities can be …
Fine-grained Arabic named entity recognition
FSS Alotaibi - 2015 - etheses.bham.ac.uk
This thesis addresses the problem of fine-grained NER for Arabic, which poses unique
linguistic challenges to NER; such as the absence of capitalisation and short vowels, the …
linguistic challenges to NER; such as the absence of capitalisation and short vowels, the …
Reconnaissance des entités nommées par exploration de règles d'annotation
D Nouvel - 2012 - theses.hal.science
Ces dernières décennies, le développement considérable des technologies de l'information
et de la communication a modifié en profondeur la manière dont nous avons accès aux …
et de la communication a modifié en profondeur la manière dont nous avons accès aux …
Context classification for improved semantic understanding of mathematical formulae
R Almomen - 2018 - etheses.bham.ac.uk
The correct semantic interpretation of mathematical formulae in electronic mathematical
documents is an important prerequisite for advanced tasks such as search, accessibility or …
documents is an important prerequisite for advanced tasks such as search, accessibility or …
structure en dépendances syntaxiques avec l'ontologie NERD
La reconnaissance des entités nommées (REN) consiste à repérer des éléments textuels et
à les classer dans des catégories prédéfinies (noms de per-sonnes, d'organisations, de …
à les classer dans des catégories prédéfinies (noms de per-sonnes, d'organisations, de …