Fiscal Sponsor Statement As Fiscal Sponsor we indicate to the Amelia Peabody Foundation, in consideration of the receipt of the grant funds, agreement to act as such Fiscal Sponsor for the named entity and our agreement

Source URL: www.ameliapeabody.org

With a Little Help from my Neighbors: Person Name Linking Using the Wikipedia Social Network Johanna Geiß Michael Gertz

Source URL: www2016.net

• Computational linguistics
• Natural language processing
• Linguistics
• Applied linguistics
• Language
• Artificial intelligence
• Named-entity recognition
• Lexical semantics
• Semantics
• Entity linking
• Word-sense disambiguation
• Information extraction

A Hybrid Approach for Entity Recognition and Linking Julien Plu, Giuseppe Rizzo, Rapha¨el Troncy EURECOM, Sophia Antipolis, France {julien.plu,giuseppe.rizzo,raphael.troncy}@eurecom.fr

Source URL: giusepperizzo.github.io

• Computing
• Computational linguistics
• Linguistics
• Language
• Natural language processing
• Semantic Web
• Artificial intelligence
• Entity linking
• Knowledge representation
• Named-entity recognition
• DBpedia
• Named entity

An Experimental Study of a Hybrid Entity Recognition and Linking System Julien Plu, Giuseppe Rizzo, Rapha¨el Troncy EURECOM, Sophia Antipolis, France {julien.plu,giuseppe.rizzo,raphael.troncy}@eurecom.fr

Source URL: giusepperizzo.github.io

• Computing
• Linguistics
• Computational linguistics
• Natural language processing
• Knowledge representation
• Entity linking
• Semantic Web
• Named-entity recognition
• Artificial intelligence
• DBpedia
• Named entity
• Babelfy

Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks Suzushi Tomori† Takashi Ninomiya†† Shinsuke Mori††† † Graduate School of Informatics, Kyoto University∗ ††

Source URL: www.ar.media.kyoto-u.ac.jp

Multimedia Lab @ ACL W-NUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations Baptist Vandersmissen Fr´ederic Godin Multimedia Lab

Source URL: noisy-text.github.io

Improving Twitter Named Entity Recognition using Word Representations Zhiqiang Toh, Bin Chen and Jian Su Institute for Infocomm Research 1 Fusionopolis Way Singapore

Source URL: noisy-text.github.io

Enhancing Named Entity Recognition in Twitter Messages Using Entity Linking Ikuya Yamada1 2 3 Hideaki Takeda2

Source URL: noisy-text.github.io

Revealing Entities from Textual Documents Using a Hybrid Approach Julien Plu, Giuseppe Rizzo, Rapha¨el Troncy EURECOM, Sophia Antipolis, France {julien.plu,giuseppe.rizzo,raphael.troncy}@eurecom.fr

Source URL: giusepperizzo.github.io

• Computing
• Computational linguistics
• Linguistics
• Information science
• Knowledge representation
• Artificial intelligence
• Multilingualism
• Natural language processing
• Entity linking
• Named-entity recognition
• DBpedia
• Babelfy

NERD: Evaluating Named Entity Recognition Tools in the Web of Data Giuseppe Rizzo1,2 and Rapha¨el Troncy1 1 EURECOM, Sophia Antipolis, France, <>

Source URL: giusepperizzo.github.io