Add to ORKGAt NTCIR-9, we participated in the cross-lingual link discovery (Crosslink) task. In this paper we describe our approaches to discovering Chinese, Japanese, and Korean (CJK) cross-lingual links for English documents in Wikipedia. Our experimental results show that a link mining approach that mines the existing link structure for anchor probabilities and relies on the “translation” using cross-lingual document name triangulation performs very well. The evaluation shows encouraging results for our system
The Wikipedia has become the most popular online source of encyclopedic information. The English Wik...
DCU participated in the English to Chinese (C2E) and Chinese to English (C2E) subtasks of the NTCIR ...
Wikipedia becomes one of the largest knowledge bases on the Web. It has attracted 513 million page v...
At NTCIR-9, we participated in the cross-lingual link discovery (Crosslink) task. In this paper we d...
At NTCIR-10 we participated in the cross-lingual link discovery (CrossLink-2) task. In this paper we...
This study describes a link detection method to find relevant cross-lingual links from Korean Wikipe...
In this paper we examine automated Chinese to English link discovery in Wikipedia and the effects of...
Wikipedia is an online multilingual encyclopedia that contains a very large number of articles cover...
Cross-Lingual Link Discovery (CLLD) aims to automatically find links between documents written in di...
This paper describes the methods used in the submission of Knowledge Media institute (KMI), The Open...
This paper presents an overview of NTCIR-9 Cross-lingual Link Discovery (Crosslink) task. The overvi...
This paper presents an overview of NTCIR-9 Cross-lingual Link Discovery (Crosslink) task. The overvi...
Cross-Lingual Link Discovery (CLLD) is a new problem in Information Retrieval. The aim is to automat...
Abstract. Interlanguage-links (ILLs) among Wikipedias are one of im-portant multilingual resources. ...
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
The Wikipedia has become the most popular online source of encyclopedic information. The English Wik...
DCU participated in the English to Chinese (C2E) and Chinese to English (C2E) subtasks of the NTCIR ...
Wikipedia becomes one of the largest knowledge bases on the Web. It has attracted 513 million page v...
At NTCIR-9, we participated in the cross-lingual link discovery (Crosslink) task. In this paper we d...
At NTCIR-10 we participated in the cross-lingual link discovery (CrossLink-2) task. In this paper we...
This study describes a link detection method to find relevant cross-lingual links from Korean Wikipe...
In this paper we examine automated Chinese to English link discovery in Wikipedia and the effects of...
Wikipedia is an online multilingual encyclopedia that contains a very large number of articles cover...
Cross-Lingual Link Discovery (CLLD) aims to automatically find links between documents written in di...
This paper describes the methods used in the submission of Knowledge Media institute (KMI), The Open...
This paper presents an overview of NTCIR-9 Cross-lingual Link Discovery (Crosslink) task. The overvi...
This paper presents an overview of NTCIR-9 Cross-lingual Link Discovery (Crosslink) task. The overvi...
Cross-Lingual Link Discovery (CLLD) is a new problem in Information Retrieval. The aim is to automat...
Abstract. Interlanguage-links (ILLs) among Wikipedias are one of im-portant multilingual resources. ...
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
The Wikipedia has become the most popular online source of encyclopedic information. The English Wik...
DCU participated in the English to Chinese (C2E) and Chinese to English (C2E) subtasks of the NTCIR ...
Wikipedia becomes one of the largest knowledge bases on the Web. It has attracted 513 million page v...