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VLSP Shared Task

VLSP Shared Task : Named Entity Recognition

 Nguyễn, Thị Minh Huyền
 2018.
 tr. 283-294 Tiếng Việt
Named entityEvaluationCoNLL formatNamed entity recognitionShared taskChia sẻ nhiệm vụĐịnh dạng CoNLLTiếng Việt
Tác giả CN Nguyễn, Thị Minh Huyền
Nhan đề VLSP Shared Task : Named Entity Recognition / Nguyễn Thị Minh Huyền...
Thông tin xuất bản 2018.
Mô tả vật lý tr. 283-294
Tóm tắt Named entities (NE) are phrases that contain the names of persons, organizations, locations, times and quantities, monetary values, percentages, etc. Named Entity Recognition (NER) is the task of recognizing named entities in documents. NER is an important subtask of Information Extraction, which has attracted researchers all over the world since 1990s. For Vietnamese language, although there exists some research projects and publications on NER task before 2016, no systematic comparison of the performance of NER systems has been done. In 2016, the organizing committee of the VLSP workshop decided to launch the first NER shared task, in order to get an objective evaluation of Vietnamese NER systems and to promote the development of high quality systems. As a result, the first dataset with morpho-syntactic and NE annotations has been released for benchmarking NER systems. At VLSP 2018, the NER shared task has been organized for the second time, providing a bigger dataset containing texts from various domains, but without morpho-syntactic annotation. These resources are available for research purpose via the VLSP website vlsp.org.vn/resources. In this paper, we describe the datasets as well as the evaluation results obtained from these two campaigns.
Thuật ngữ chủ đề Named entity
Từ khóa tự do Evaluation
Từ khóa tự do Named entity
Từ khóa tự do CoNLL format
Từ khóa tự do Named entity recognition
Từ khóa tự do Shared task
Từ khóa tự do Chia sẻ nhiệm vụ
Từ khóa tự do Định dạng CoNLL
Từ khóa tự do Tiếng Việt
Nguồn trích Tạp chí Tin học và Điều khiển học- Vol.34, No 4
MARC
Hiển thị đầy đủ trường & trường con
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300[1 0] |a tr. 283-294
520[ ] |a Named entities (NE) are phrases that contain the names of persons, organizations, locations, times and quantities, monetary values, percentages, etc. Named Entity Recognition (NER) is the task of recognizing named entities in documents. NER is an important subtask of Information Extraction, which has attracted researchers all over the world since 1990s. For Vietnamese language, although there exists some research projects and publications on NER task before 2016, no systematic comparison of the performance of NER systems has been done. In 2016, the organizing committee of the VLSP workshop decided to launch the first NER shared task, in order to get an objective evaluation of Vietnamese NER systems and to promote the development of high quality systems. As a result, the first dataset with morpho-syntactic and NE annotations has been released for benchmarking NER systems. At VLSP 2018, the NER shared task has been organized for the second time, providing a bigger dataset containing texts from various domains, but without morpho-syntactic annotation. These resources are available for research purpose via the VLSP website vlsp.org.vn/resources. In this paper, we describe the datasets as well as the evaluation results obtained from these two campaigns.
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