Results 31 to 40 of about 29,472 (315)
Fast max-margin clustering for unsupervised word sense disambiguation in biomedical texts. [PDF]
BMC Bioinformatics, 2009 Duan W, Song M, Yates A.
europepmc +3 more sources
Wiki sense bag creation using multilingual word sense disambiguation [PDF]
, 2022 Performance of word sense disambiguation (WSD) is one of the challenging tasks in the area of natural language processing (NLP). Generation of sense annotated corpus for multilingual word sense disambiguation is out of reach for most languages even if ...
Devane, Satish +2 more
core +3 more sources
IET Communications, EarlyView., 2022 This paper proposed an Automated Quality Assessment of SRS (AQA‐SRS) framework by integrating four popular methods which are; NLP, K‐means, MAS, and CBR to assess the quality of SRS documents. The NLP utilize for feature extraction, K‐means for features clustering, MAS for interactive assessment and feature selection decision, and CBR for managing the ...
Mohammed Ahmed Jubair +6 more
wiley +1 more source
Word sense disambiguation in queries [PDF]
Proceedings of the 14th ACM international conference on Information and knowledge management, 2005 This paper presents a new approach to determine the senses of words in queries by using WordNet. In our approach, noun phrases in a query are determined first. For each word in the query, information associated with it, including its synonyms, hyponyms, hypernyms, definitions of its synonyms and hyponyms, and its domains, can be used for word sense ...
Shuang Liu, Clement Yu, Weiyi Meng
openaire +2 more sources
Recent Trends in Word Sense Disambiguation: A Survey [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 Word Sense Disambiguation (WSD) aims at making explicit the semantics of a word in context by identifying the most suitable meaning from a predefined sense inventory. Recent breakthroughs in representation learning have fueled intensive WSD research, resulting in considerable performance improvements, breaching the 80% glass ceiling set by the inter ...
Bevilacqua, Michele +3 more
openaire +4 more sources
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
Word Sense Disambiguation: A Survey
International Journal of Control Theory and Computer Modeling, 2015 In this paper, we made a survey on Word Sense Disambiguation (WSD). Near about in all major languages around the world, research in WSD has been conducted upto different extents. In this paper, we have gone through a survey regarding the different approaches adopted in different research works, the State of the Art in the performance in this domain ...
Alok Ranjan Pal, Diganta Saha
openaire +3 more sources
Graph Convolutional Network for Word Sense Disambiguation
Discrete Dynamics in Nature and Society, 2021 Word sense disambiguation (WSD) is an important research topic in natural language processing, which is widely applied to text classification, machine translation, and information retrieval.
Chun-Xiang Zhang +3 more
doaj +1 more source
Biological Reviews, Volume 98, Issue 1, Page 81-98, February 2023., 2023 ABSTRACT The evolution of language has been investigated by several research communities, including biologists and linguists, striving to highlight similar linguistic capacities across species. To date, however, no consensus exists on the linguistic capacities of non‐human species.
Mélissa Berthet +3 more
wiley +1 more source
Developmental Science, Volume 26, Issue 1, January 2023., 2023 Difference in looking proportion in the word comprehension task for bidialectal infants as a function of perceived similarity between parents' dialects, as reported by native Norwegian speakers. The shaded area represents 95% confidence interval. Abstract Previous research suggests that exposure to accent variability can affect toddlers’ familiar word ...
Natalia Kartushina, Julien Mayor
wiley +1 more source