ABSTRACT Named Entity Recognition (NER) aims to classify words in a document into pre-
defined target entity classes and is now considered to be fundamental for many natural …

Background Named entity recognition (NER) is a task of detecting named entities in
documents and categorizing them to predefined classes, such as person, location, and …

Few-shot Named Entity Recognition (NER) is the task of identifying and classifying entities
under conditions of low resources. The preceding approach relies on meta-learning …

Word segmentation and POS tagging are two important problems included in many NLP
tasks. They, however, have not drawn much attention of Vietnamese researchers all over the …

We investigate the punctuation prediction for the Vietnamese language. This problem is
crucial as it can be used to add suitable punctuation marks to machine-transcribed …

Named entity recognition aims to classify words in a document into pre-defined target entity
classes. It is now considered to be fundamental for many natural language processing tasks …

HTML tags are typically discarded in free text Named Entity Recognition from Web pages.
We investigate whether these discarded tags might be used to improve NER performance …

We present preliminary results for the named entity recognition problem in the Vietnamese
language. For this task, we build a system based on conditional random fields and address …

Named entity recognition (NER) is a task of detecting named entities in documents and
categorizing them to predefined classes such as Person (PER), Location (LOC) …

In order to build an automatic named entity recognition (NER) system using a machine
learning approach, a large tagged corpus is widely seen as one necessary knowledge …