Semantic Disambiguation for Cross-Lingual Entity Linking
نویسندگان
چکیده
منابع مشابه
Neural Cross-Lingual Entity Linking
A major challenge in Entity Linking (EL) is making effective use of contextual information to disambiguate mentions to Wikipedia that might refer to different entities in different contexts. The problem exacerbates with cross-lingual EL which involves linking mentions written in non-English documents to entries in the English Wikipedia: to compare textual clues across languages we need to compu...
متن کاملStrong Baselines for Cross-Lingual Entity Linking
We describe several context-independent baselines for tackling the cross-lingual entity linking task. Our methods are quite basic, reducing to efficient look-ups in static, pre-computed tables. Despite their simplicity, however, such approaches scored well in a recent knowledgebase population competition. Moreover, these language-independent techniques still perform strongly on English entity l...
متن کاملCross-lingual named entity extraction and disambiguation
We propose a method for the task of identifying and disambiguation of named entities in a scenario where the language of the input text differs from the language of the knowledge base. We demonstrate this functionality on English and Slovene named entity disambiguation
متن کاملCross-Lingual Cross-Document Coreference with Entity Linking
This paper describes our approach to the 2011 Text Analysis Conference (TAC) Knowledge Base Population (KBP) cross-lingual entity linking problem. We recast the problem of entity linking as one of cross-document entity coreference. We compare an approach where deductive entity linking informs crossdocument coreference to an inductive approach where coreference and linking judgements are mutuall...
متن کاملMutual Disambiguation for Entity Linking
The disambiguation algorithm presented in this paper is implemented in SemLinker, an entity linking system. First, named entities are linked to candidate Wikipedia pages by a generic annotation engine. Then, the algorithm re-ranks candidate links according to mutual relations between all the named entities found in the document. The evaluation is based on experiments conducted on the test corpu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Joho Chishiki Gakkaishi
سال: 2014
ISSN: 0917-1436,1881-7661
DOI: 10.2964/jsik_2014_014