With the increasing popularity of large scale Knowledge Graph (KG) s, many applications
such as semantic analysis, search and question answering need to link entity mentions in …

Short texts challenge NLP tasks such as named entity recognition, disambiguation, linking
and relation inference because they do not provide sufficient context or are partially …

This paper describes the (# Microposts2016) Named Entity rEcognition and Linking (NEEL)
Challenge, held as a track of the Making Sense of Microposts Workshop co-located with the …

The large number of tweets generated daily is providing decision makers with means to
obtain insights into recent events around the globe in near real-time. The main barrier for …

To identify what entities are being talked about in tweets, we need to automatically link
named entities that appear in tweets to structured KBs like WikiData. Existing approaches …

In this paper we investigate the accuracy and overall suitability of a variety of Entity Linking
systems for the task of disambiguating entities in 17th century depositions obtained during …

The growing amount of documents in archives and blogs results in an increasing challenge
for curators and authors to tag, present, and recommend their content to the user. refer …

Abstract Industry 4.0 standards, such as AutomationML, are used to specify properties of
mechatronic elements in terms of views, such as electrical and mechanical views of a motor …

Detecting previously unseen named entities in text is a challenging task. The paper
describes how three initial classifier models were built using Conditional Random Fields …

Due to the growing need of smart-health applications in Hindi language, there is a rapid
demand for health-related Named Entity Recognition (NER) system for Hindi. For the …