Attention-Based Joint Entity Linking with Entity Embedding
نویسندگان
چکیده
منابع مشابه
Word, Mention and Entity Joint Embedding for Entity Linking
Entity linking is a important for connecting text data and knowledge bases. This poster presents a word, mention and entity joint embedding method, which can be used in computing semantic relatedness in entity linking approaches.
متن کاملA Joint Named Entity Recognition and Entity Linking System
We present a joint system for named entity recognition (NER) and entity linking (EL), allowing for named entities mentions extracted from textual data to be matched to uniquely identifiable entities. Our approach relies on combined NER modules which transfer the disambiguation step to the EL component, where referential knowledge about entities can be used to select a correct entity reading. Hy...
متن کاملEntity Linking with people entity on Wikipedia
This paper introduces a new model that uses named entity recognition, coreference resolution, and entity linking techniques, to approach the task of linking people entities on Wikipedia people pages to their corresponding Wikipedia pages if applicable. Our task is different from general and traditional entity linking because we are working in a limited domain, namely, people entities, and we ar...
متن کاملA Pipeline Japanese Entity Linking System with Embedding Features
Entity linking (EL) is the task of connecting mentions in texts to entities in a large-scale knowledge base such as Wikipedia. In this paper, we present a pipeline system for Japanese EL which consists of two standard components, namely candidate generation and candidate ranking. We investigate several techniques for each component, using a recently developed Japanese EL corpus. For candidate g...
متن کاملGraph-Based Named Entity Linking with Wikipedia
Named entity linking (NEL) grounds entity mentions to their corresponding Wikipedia article. State-of-the-art supervised NEL systems use features over the rich Wikipedia document and link-graph structure. Graph-based measures have been effective over WordNet for word sense disambiguation (WSD). We draw parallels between NEL and WSD, motivating our unsupervised NEL approach that exploits the Wik...
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: Information
سال: 2019
ISSN: 2078-2489
DOI: 10.3390/info10020046