Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for KB completion. Although XLORE is an English-Chinese bilingual knowledge graph, there are only 423,974 cross-lingual links between English instances and Chinese instances. We present XLORE2, an extension of the XLORE that is built automatically from Wikipedia, Baidu Baike and Hudong Baike. We add more facts by making cross-lingual knowledge linking, cross-lingual property matching and fine-grained type inference. We also design an entity linking system to demonstrate the effectiveness and broad coverage of XLORE2. </p
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
Maintaining semantic relations between words during the translation process yields more accurate tar...
Neural Machine Translation (NMT) systems require a massive amount of Maintaining semantic relations ...
Wikipedia becomes one of the largest knowledge bases on the Web. It has attracted 513 million page v...
Wikipedia is an online multilingual encyclopedia that contains a very large number of articles cover...
In this paper we examine automated Chinese to English link discovery in Wikipedia and the effects of...
A major challenge in Entity Linking (EL) is making effective use of contextual information to disamb...
Content on the web is predominantly in English, which makes it inaccessible to individuals who exclu...
Large language models appear to learn facts from the large text corpora they are trained on. Such fa...
At NTCIR-10 we participated in the cross-lingual link discovery (CrossLink-2) task. In this paper we...
At NTCIR-9, we participated in the cross-lingual link discovery (Crosslink) task. In this paper we d...
At NTCIR-9, we participated in the cross-lingual link discovery (Crosslink) task. In this paper we d...
In recent years, we have witnessed a steady growth of linguistic information represented and exposed...
Abstract. Interlanguage-links (ILLs) among Wikipedias are one of im-portant multilingual resources. ...
We present a knowledge-rich approach to computing semantic relatedness which exploits the joint cont...
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
Maintaining semantic relations between words during the translation process yields more accurate tar...
Neural Machine Translation (NMT) systems require a massive amount of Maintaining semantic relations ...
Wikipedia becomes one of the largest knowledge bases on the Web. It has attracted 513 million page v...
Wikipedia is an online multilingual encyclopedia that contains a very large number of articles cover...
In this paper we examine automated Chinese to English link discovery in Wikipedia and the effects of...
A major challenge in Entity Linking (EL) is making effective use of contextual information to disamb...
Content on the web is predominantly in English, which makes it inaccessible to individuals who exclu...
Large language models appear to learn facts from the large text corpora they are trained on. Such fa...
At NTCIR-10 we participated in the cross-lingual link discovery (CrossLink-2) task. In this paper we...
At NTCIR-9, we participated in the cross-lingual link discovery (Crosslink) task. In this paper we d...
At NTCIR-9, we participated in the cross-lingual link discovery (Crosslink) task. In this paper we d...
In recent years, we have witnessed a steady growth of linguistic information represented and exposed...
Abstract. Interlanguage-links (ILLs) among Wikipedias are one of im-portant multilingual resources. ...
We present a knowledge-rich approach to computing semantic relatedness which exploits the joint cont...
International audienceWikipedia is a well-known public and collaborative ency- clopaedia consisting ...
Maintaining semantic relations between words during the translation process yields more accurate tar...
Neural Machine Translation (NMT) systems require a massive amount of Maintaining semantic relations ...