Results 51 to 60 of about 2,936,085 (211)

Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems

Quantitative Science Studies, 2020
The present study is an evaluation of three frequently used institution name disambiguation systems. The Web of Science normalized institution names and Organization Enhanced system and the Scopus Affiliation ID system are tested against a complete ...
Donner, Paul, Rimmert, Christine, van Eck, Nees Jan   +2 more
doaj   +1 more source

EREL: an Entity Recognition and Linking algorithm

Journal of Information and Telecommunication, 2018
This paper introduces the EREL algorithm that integrates Entity Recognition, Co-reference Resolution (CR) and Disambiguation. The algorithm recognizes entity mentions as the longest name based on the name dictionary constructed from the Wikipedia data ...
Cuong Duc Nguyen, Trong Hai Duong
doaj   +1 more source

Deep Learning Approaches to Author Name Disambiguation: A Survey

International Journal on Digital Libraries
Purpose: Author Name Disambiguation (AND) is a critical task for digital libraries aiming to link existing authors with their respective publications. Due to the lack of persistent identifiers and intrinsic linguistic challenges such as homonymy, deep ...
Francesca Cappelli, Giovanni Colavizza, Silvio Peroni   +2 more
semanticscholar   +1 more source

Lost in Translation: Word Sense Disambiguation. [PDF]

, 2004
In natural languages, a word can take on different meanings in different contexts. Word sense disambiguation (WSD) refers to the task of determining the correct meaning or sense of a word in ...
Lian Tze, Lim, Tang, Enya Kong
core   +1 more source

Author name disambiguation literature review with consolidated meta-analytic approach

International Journal on Digital Libraries
Name ambiguity is a common problem in many bibliographic repositories affecting data integrity and validity. This article presents an author name disambiguation (AND) literature review using the theory of the consolidated meta-analytic approach ...
Natan S. Rodrigues, A. M. Mariano, C. G. Ralha   +2 more
semanticscholar   +1 more source

Discovering and disambiguating named entities in text [PDF]

Proceedings of the 2013 SIGMOD/PODS Ph.D. symposium, 2013
Disambiguating named entities in natural language texts maps ambiguous names to canonical entities registered in a knowledge base such as DBpedia, Freebase, or YAGO. Knowing the specific entity is an important asset for several other tasks, e.g. entity-based information retrieval or higher-level information extraction.
openaire   +4 more sources

A Genetic-based approach for Author Name Disambiguation Problem

Iranian Journal of Information Processing & Management, 2021
In the recent years, with the increasing volume of articles and the use of Internet and search engine services, the author name disambiguation problem has received a lot of attention.
Niloofar Mozafari
doaj  

Name Disambiguation Based on Graph Convolutional Network

Scientific Programming, 2021
Recently, massive online academic resources have provided convenience for scientific study and research. However, the author name ambiguity degrades the user experience in retrieving the literature bases. Extracting the features of papers and calculating
Ya Chen, Hongliang Yuan, Tingting Liu, Nan Ding   +3 more
semanticscholar   +1 more source

The disambiguation of people names in biological collections

Biodiversity Data Journal, 2022
Scientific collections have been built by people. For hundreds of years, people have collected, studied, identified, preserved, documented and curated collection specimens. Understanding who those people are is of interest to historians, but much more can be made of these data by other stakeholders once they have been linked to the people’s identities ...
Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter, Kearney, Nicole, Klazenga, Niels, Leachman, Siobhan, Paul, Deborah L, Rogers, Heather, Santos, Joaquim, Shorthouse, David, Vaughan, Alison, von Mering, Sabine, Haston, Elspeth, Groom, Quentin, Bräuchler, Christian, Cubey, Robert, Dillen, Mathias, Huybrechts, Pieter   +199 more
openaire   +3 more sources

A conditional random field model for name disambiguation in National Natural Science Foundation of China fund

Journal of Algorithms & Computational Technology, 2018
The name ambiguity problem affects the accuracy of the web search, document retrieval, and information fusion. A lot of work has been done to solve the name disambiguation problem for publication or paper, but we propose a model to solve this problem for
Hang Jun Si, Weiqin Tong, Samina Kausar
doaj   +1 more source