Results 31 to 40 of about 1,795,335 (248)
The Socialocene: From Capitalocene to Transnational Waste Regimes
Antipode, EarlyView., 2022 Abstract In this article I will present a relational, and multiscalar, perspective on how state socialism interacted with and shaped the Capitalocene. I introduce a heuristic device, the term Socialocene, a transnational waste regime dominant through the Cold War‐era, that is, during what Will Steffen and colleagues call “the great acceleration”.
Zsuzsa Gille
wiley +1 more source
Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs
IEEE Access, 2022 Most Knowledge Graph-based Question Answering (KGQA) systems rely on training data to reach their optimal performance. However, acquiring training data for supervised systems is both time-consuming and resource-intensive.
Md Rashad Al Hasan Rony +3 more
doaj +1 more source
Attention-based Stacked Bidirectional Long Short-term Memory Model for Word Sense Disambiguation
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023 Word sense disambiguation is a basic task in Natural Language Processing which aims to identify the most appropriate sense of ambiguous words in different contexts by applying algorithm models.
Yu-Jie Sun, J. Platoš
semanticscholar +1 more source
Lexical Simplification System to Improve Web Accessibility
IEEE Access, 2021 People with intellectual, language and learning disabilities face accessibility barriers when reading texts with complex words. Following accessibility guidelines, complex words can be identified, and easy synonyms and definitions can be provided for ...
Rodrigo Alarcon +2 more
doaj +1 more source
Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation
Journal of Integrative Bioinformatics, 2017 Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems.
Antunes Rui, Matos Sérgio
doaj +1 more source
ARABICNLP, 2023 Extracting and disambiguating geolocation information from social media data enables effective disaster management, as it helps response authorities; for example, locating incidents for planning rescue activities and affected people for evacuation ...
Reem Suwaileh +2 more
semanticscholar +1 more source
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
Generalising semantic category disambiguation with large lexical resources for fun and profit [PDF]
Journal of Biomedical Semantics, 2014 Semantic Category Disambiguation (SCD) is the task of assigning the appropriate semantic category to given spans of text from a fixed set of candidate categories, for example Protein to "Fibrin". SCD is relevant to Natural Language Processing tasks such as Named Entity Recognition, coreference resolution and coordination resolution.
Sophia Ananiadou +4 more
openaire +3 more sources
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning [PDF]
, 2018 Over the past years, distributed semantic representations have proved to be effective and flexible keepers of prior knowledge to be integrated into downstream applications. This survey focuses on the representation of meaning.
Camacho-Collados, Jose +1 more
core +3 more sources
PLOS ONE, 2016 The NIF Registry developed and maintained by the Neuroscience Information Framework is a cooperative project aimed at cataloging research resources, e.g., software tools, databases and tissue banks, funded largely by governments and available as tools to research scientists.
Ozyurt, Ibrahim Burak +3 more
openaire +7 more sources