Oct 27, 2014 · In this work, we describe a new Twitter entity disambiguation dataset, and conduct an empirical analysis of named entity recognition and disambiguation.
In this work, we describe a new Twitter entity disambiguation dataset, and conduct an empirical analysis of named entity recognition and disambiguation.
Oct 27, 2014 · Named entity recognition (NER) is a critical IE task, as it identifies which snippets in a text are mentions of entities in the real world. It ...
Oct 27, 2014 · In this work, we describe a new Twitter entity disam- biguation dataset, and conduct an empirical analysis of named entity recognition and ...
Analysis of named entity recognition and linking for tweets
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A new gold-standard corpus of tweets annotated for Person, Location, and Organization (PLO) is presented and multiple NER experiments are performed using a ...
Applying natural language processing for mining and intelligent information access to tweets (a form of microblog) is a challenging, emerging research area.
NER process fall in two stages, the first stage is detecting the entity, while the second one classifies it by identify the type of the entity 6 . ...
Two main challenges of Named Entity Recognition (NER) for tweets are the insufficient information in a tweet and the lack of training data.
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In this paper, we focus on NER in Twitter, one of the largest social media platforms, and construct a new NER dataset, TweetNER7, which contains seven entity ...
This article reports the findings and lessons learnt through an analysis of specific characteristics of the created corpora, limitations, lessons learnt from ...