intTypePromotion=1
ADSENSE

Báo cáo khoa học: "Semi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled Data"

Chia sẻ: Hongphan_1 Hongphan_1 | Ngày: | Loại File: PDF | Số trang:9

49
lượt xem
1
download
 
  Download Vui lòng tải xuống để xem tài liệu đầy đủ

This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-of-speech tagging, syntactic chunking, and named entity recognition. We first propose a simple yet powerful semi-supervised discriminative model appropriate for handling large scale unlabeled data. Then, we describe experiments performed on widely used test collections, namely, PTB III data, CoNLL’00 and ’03 shared task data for the above three NLP tasks, respectively. ...

Chủ đề:
Lưu

Nội dung Text: Báo cáo khoa học: "Semi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled Data"

ADSENSE

CÓ THỂ BẠN MUỐN DOWNLOAD

 

Đồng bộ tài khoản
2=>2