International audienceNamed Entity Recognition for person names is an important but non-trivial task in information extraction. This article uses a tool that compares the concordances obtained from two local grammars (LG) and highlights the differences. We used the results as an aid to select the best of a set of LGs. By analyzing the comparisons, we observed relationships of inclusion, intersection and disjunction within each pair of LGs, which helped us to assemble those that yielded the best results. This approach was used in a case study on extraction of person names from texts written in Portuguese. We applied the enhanced grammar to the Gold Collection of the Second HAREM. The F-Measure obtained was 76.86, representing a gain of 6 poi...
This chapter introduces a strategy for the automatic extraction of multilingual collocation equivale...
No ensino de língua nacional, concordância é um dos tópicos em cujo aprendizado observa dificuldade ...
The acquisition of multiword terms from large text collections is a fundamental issue in the context...
International audienceNamed Entity Recognition for person names is an important but non-trivial task...
In general, the task of Named Entity Recognition (NER) is an information extraction subtask which se...
ISSN: 2358-0852National audienceAutomatic identification of person names in texts is an important ta...
International audience—The local grammar approach was first used to discuss recursive phrases that a...
Named Entity Extraction (NER) consists in identifying specific textual expressions, which represent ...
Local grammar approach relies on constructing polylexical units having frozen characteristics. It ha...
We present an effort for the development of multilingual named entity grammars in a unification-base...
The field of Spatial Humanities has advanced substantially in the past years. The identification and...
Named Entity Recognition involves automatically identifying and classifying entities such as persons...
Concordances are sentences containing given target word. They are profitable research objects in all...
This article presents the results of a study concerning named-entity recognition and classification ...
We develop an aggregate measure of syntactic difference for automatically finding common syntactic d...
This chapter introduces a strategy for the automatic extraction of multilingual collocation equivale...
No ensino de língua nacional, concordância é um dos tópicos em cujo aprendizado observa dificuldade ...
The acquisition of multiword terms from large text collections is a fundamental issue in the context...
International audienceNamed Entity Recognition for person names is an important but non-trivial task...
In general, the task of Named Entity Recognition (NER) is an information extraction subtask which se...
ISSN: 2358-0852National audienceAutomatic identification of person names in texts is an important ta...
International audience—The local grammar approach was first used to discuss recursive phrases that a...
Named Entity Extraction (NER) consists in identifying specific textual expressions, which represent ...
Local grammar approach relies on constructing polylexical units having frozen characteristics. It ha...
We present an effort for the development of multilingual named entity grammars in a unification-base...
The field of Spatial Humanities has advanced substantially in the past years. The identification and...
Named Entity Recognition involves automatically identifying and classifying entities such as persons...
Concordances are sentences containing given target word. They are profitable research objects in all...
This article presents the results of a study concerning named-entity recognition and classification ...
We develop an aggregate measure of syntactic difference for automatically finding common syntactic d...
This chapter introduces a strategy for the automatic extraction of multilingual collocation equivale...
No ensino de língua nacional, concordância é um dos tópicos em cujo aprendizado observa dificuldade ...
The acquisition of multiword terms from large text collections is a fundamental issue in the context...