ACL
2007
14 years 29 days ago
2007
Identification of transliterated names is a particularly difficult task of Named Entity Recognition (NER), especially in the Chinese context. Of all possible variations of trans...
ACL
2008
14 years 29 days ago
2008
In this paper, we describe a system by which the multilingual characteristics of Wikipedia can be utilized to annotate a large corpus of text with Named Entity Recognition (NER) t...
DAS
2008
Springer
14 years 1 months ago
2008
Springer
Named Entity Recognition (NER) is an important subtask of document processing such as Information Extraction. This paper describes a NER algorithm which uses a Multi-Layer Percept...
DAS
2010
Springer
14 years 1 months ago
2010
Springer
Automated extraction of bibliographic information from journal articles is key to the affordable creation and maintenance of citation databases, such as MEDLINE
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
Today, valuable business information is increasingly stored as unstructured data (documents, emails, etc.). For example, documents exchanged between business partners capture info...
CIKM
2008
Springer
14 years 1 months ago
2008
Springer
Automatic recognition of named entities such as people, places, organizations, books, and movies across the entire web presents a number of challenges, both of scale and scope. Da...
FLAIRS
2008
14 years 1 months ago
2008
Ever increasing size of the biomedical literature makes tapping into implicit knowledge in scientific literature a necessity for knowledge discovery. In this paper, a semantic par...
NLPRS
2001
Springer
14 years 4 months ago
2001
Springer
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
IBERAMIA
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. In this paper we investigate the way of improving the performance of a Named Entity Extraction (NEE) system by applying machine learning techniques and corpus transformat...
SIGIR
2004
ACM
14 years 5 months ago
2004
ACM
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...