A survey of the usages of deep learning for natural language processing
Over the last several years, the field of natural language processing has been propelled
forward by an explosion in the use of deep learning models. This article provides a brief …
forward by an explosion in the use of deep learning models. This article provides a brief …
Recent named entity recognition and classification techniques: a systematic review
Textual information is becoming available in abundance on the web, arising the requirement
of techniques and tools to extract the meaningful information. One of such an important …
of techniques and tools to extract the meaningful information. One of such an important …
Portuguese named entity recognition using BERT-CRF
Recent advances in language representation using neural networks have made it viable to
transfer the learned internal states of a trained model to downstream natural language …
transfer the learned internal states of a trained model to downstream natural language …
A survey of named entity recognition and classification
This survey covers fifteen years of research in the Named Entity Recognition and
Classification (NERC) field, from 1991 to 2006. We report observations about languages …
Classification (NERC) field, from 1991 to 2006. We report observations about languages …
Extended overview of CLEF HIPE 2020: named entity processing on historical newspapers
M Ehrmann, M Romanello, A Flückiger… - CEUR Workshop …, 2020 - zora.uzh.ch
This paper presents an extended overview of the first edition of HIPE (Identifying Historical
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …
People, Places and other Entities), a pioneering shared task dedicated to the evaluation of …
BERT models for Brazilian Portuguese: Pretraining, evaluation and tokenization analysis
Recent advances in language representation using neural networks have made it viable to
transfer the learned internal states of large pretrained language models (LMs) to …
transfer the learned internal states of large pretrained language models (LMs) to …
Ptt5: Pretraining and validating the t5 model on brazilian portuguese data
In natural language processing (NLP), there is a need for more resources in Portuguese,
since much of the data used in the state-of-the-art research is in other languages. In this …
since much of the data used in the state-of-the-art research is in other languages. In this …
E-NER--An Annotated Named Entity Recognition Corpus of Legal Text
Identifying named entities such as a person, location or organization, in documents can
highlight key information to readers. Training Named Entity Recognition (NER) models …
highlight key information to readers. Training Named Entity Recognition (NER) models …
Semi-supervised named entity recognition: learning to recognize 100 entity types with little supervision
D Nadeau - 2007 - ruor.uottawa.ca
Named Entity Recognition (NER) aims to extract and to classify rigid designators in text such
as proper names, biological species, and temporal expressions. There has been growing …
as proper names, biological species, and temporal expressions. There has been growing …
Les Entitées Nommées, de la linguistique au TAL: Statut théorique et méthodes de désambiguïsation
M Ehrmann - 2008 - hal.science
Le traitement des entités nommées fait aujourd'hui figure d'incontournable en Traitement
Automatique des Langues. Apparue au milieu des années 1990 à la faveur des dernières …
Automatique des Langues. Apparue au milieu des années 1990 à la faveur des dernières …