Results 71 to 80 of about 328,579 (213)
A Learning-Based Approach for Biomedical Word Sense Disambiguation
The Scientific World Journal, 2012 In the biomedical domain, word sense ambiguity is a widely spread problem with bioinformatics research effort devoted to it being not commensurate and allowing for more development.
Hisham Al-Mubaid, Sandeep Gungu
doaj +1 more source
Serendipitous Explanations: Interaction‐Triggered Comprehension Aids in Visualization
Computer Graphics Forum, EarlyView.Abstract Evidence continues to accrue around the difficulties people have understanding new and complex visualizations, which in turn provides continued incentive to explore additional methods of supporting visualization viewers. Through leveraging viewers' spontaneous visualization sensemaking activities, we introduce a Serendipitous Explanation ...
M. Rezaie, M. Tory, S. Carpendale
wiley +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
IEEE Access, 2020 Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity mentions in an input-text sequence to their correct references in a knowledge graph.
Zizheng Ji +3 more
doaj +1 more source
Integrating various resources for gene name normalization. [PDF]
PLoS ONE, 2012 The recognition and normalization of gene mentions in biomedical literature are crucial steps in biomedical text mining. We present a system for extracting gene names from biomedical literature and normalizing them to gene identifiers in databases.
Yuncui Hu +4 more
doaj +1 more source
Visual Identification and Comparison of Higher Order Properties in State Transition Sequences
Computer Graphics Forum, EarlyView.Abstract The analysis of state transition sequences is a prevalent research topic in many domains. In this context, we introduce the term higher‐order property to describe characteristics of the analyzed data set that span beyond the local neighborhood of a single state.
T. Mertz, S. L. Reynolds, J. Kohlhammer
wiley +1 more source
Do We Need Entity-Centric Knowledge Bases for Entity Disambiguation?
, 2013 Entity Disambiguation has been studied extensively in the last 10 years with authors reporting increasingly well per- forming systems. However, most studies focused on gen- eral purpose knowledge bases like Wikipedia or DBPedia and left out the question ...
Granitzer, Michael +5 more
core +1 more source
Finding Nineteenth-century Berry Spots
Digital Humanities in the Nordic and Baltic Countries Publications, 2019 The paper studies and improves methods of named entity recognition (NER) and linking (NEL) for facilitating historical research, which uses digitized newspaper texts. The specific focus is on a study about historical process of commodification.
Matti La Mela +2 more
doaj +1 more source
European Journal of Philosophy, EarlyView.Abstract An oft‐overlooked aspect of Sartre’s concept of selfhood is his rejection of good faith and sincerity as normative ideals. We argue that Sartre’s paradoxical treatment of good faith – claiming both that it is a manifestation of bad faith and the antithesis of it – holds a key to understanding Sartre’s account of selfhood.
Mark A. Wrathall, Wanda von Knobelsdorff
wiley +1 more source
Journal of Management Studies, EarlyView.Abstract Researchers have highlighted that institutional contexts affect the transnational diffusion of knowledge. However, the influence of institutions on the flow of knowledge through cross‐national networks remains under‐theorized, limiting our understanding of the dynamics of knowledge creation and the factors that may hinder it.
Anna Spadavecchia
wiley +1 more source