94 search results - page 8 / 19 » Multi-Criteria-based Active Learning for Named Entity Recogn... |
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
EMNLP
2010
13 years 5 months ago
2010
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
BMCBI
2008
13 years 7 months ago
2008
This paper presents an active learning-like framework for reducing the human effort for making named entity annotations in a corpus. In this framework, the annotation work is perf...
ACL
2006
13 years 8 months ago
2006
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
Named entity recognition is important for semantically oriented retrieval tasks, such as question answering, entity retrieval, biomedical retrieval, trend detection, and event and...