Results 81 to 90 of about 2,936,085 (211)
Efficient name disambiguation for large-scale databases [PDF]
, 2006 Name disambiguation can occur when one is seeking a list of publications of an author who has used different name variations and when there are multiple other authors with the same name.
Huang, Jian +2 more
core +2 more sources
Entropy of Polysemantic Words for the Same Part of Speech
IEEE Access, 2020 In this paper, a special type of polysemantic words, that is, words with multiple meanings for the same part of speech, are analyzed under the name of neutrosophic words. These words represent the most difficult cases for the disambiguation algorithms as
Mihaela Colhon +2 more
doaj +1 more source
Named Entity Disambiguation for Noisy Text [PDF]
Proceedings of the 21st Conference on Computational Natural Language
Learning (CoNLL 2017), 2017 We address the task of Named Entity Disambiguation (NED) for noisy text. We present WikilinksNED, a large-scale NED dataset of text fragments from the web, which is significantly noisier and more challenging than existing news-based datasets. To capture the limited and noisy local context surrounding each mention, we design a neural model and train it ...
Yotam Eshel +5 more
openaire +2 more sources
Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining
Journal of Cheminformatics, 2010 Background Previously, we developed a combined dictionary dubbed Chemlist for the identification of small molecules and drugs in text based on a number of publicly available databases and tested it on an annotated corpus.
Hettne Kristina M +5 more
doaj +1 more source
Sometimes less is more : Romanian word sense disambiguation revisited [PDF]
, 2007 Recent approaches to Word Sense Disambiguation (WSD) generally fall into two classes: (1) information-intensive approaches and (2) information-poor approaches.
Kübler, Sandra, Dinu, Georgiana
core
Effect of forename string on author name disambiguation [PDF]
, 2020 In author name disambiguation, author forenames are used to decide which name instances are disambiguated together and how much they are likely to refer to the same author.
Jinseok Kim +3 more
core +1 more source
Diting: An Author Disambiguation Method Based on Network Representation Learning
IEEE Access, 2019 It is important to disambiguate names among persons in many scenarios. In this work, we propose an unsupervised method Diting and a semi-supervised method Diting++ for author disambiguation.
Liwen Peng +5 more
doaj +1 more source
A Multi-match Approach to the Author Uncertainty Problem
Journal of Data and Information Science, 2019 The ability to identify the scholarship of individual authors is essential for performance evaluation. A number of factors hinder this endeavor. Common and similarly spelled surnames make it difficult to isolate the scholarship of individual authors ...
Carley Stephen F. +2 more
doaj +1 more source
OpenAlex Author Name Disambiguation V3 Data - Disambiguation Model
, 2023 <p>5 Separate files used in the OpenAlex (https://openalex.org) V3 Author Name Disambiguation Model Creation:</p> <ol> <li>ORCID_hard_negative_pairs: Pairs of ORCIDs where either the full name, family name, or given name are a ...
Barrett, Justin +4 more
core +1 more source
Name disambiguation in web people search [PDF]
, 2011 Searching for people on the web is a ubiquitous activity. We search for people on web search engines, social networks, publication websites and various other websites.
Chitalia, Harshit N.
core +1 more source