Results 61 to 70 of about 2,548,688 (244)
Sense-Tagged corpora for Word Sense Disambiguation in several languages
Copies of Sense-Tagged corpora for Word Sense Disambiguation in several languages English, French, Spanish, Russian
Various Authors +1 more
core +1 more source
Large language models unlock large text corpora in the search for data on medicinal plants and fungi
Millions of people worldwide depend on plants and fungi for their healthcare needs, yet our understanding of which species are used medicinally—and how—remains fragmented and incomplete. As part of Kew's Plants for Health service, we developed a pipeline to mine large text corpora for information on natural products, initially focusing on the medicinal
Adam Richard‐Bollans +6 more
wiley +1 more source
When stakeholders are imposed: Non‐chosen stakeholder orientation and venture performance
Abstract Research Summary Extending stakeholder theory into the entrepreneurship context, we examine the performance implications of externally imposed stakeholder orientation, which we conceptualize as non‐chosen stakeholder orientation. Given the resource constraints, short time horizons, and high levels of uncertainty that characterize ventures, we ...
Myeongho David Park +2 more
wiley +1 more source
Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources
Word Sense Disambiguation Based on Large Scale Polish CLARIN Heterogeneous Lexical Resources Lexical resources can be applied in many different Natural Language Engineering tasks, but the most fundamental task is the recognition of word senses used in ...
Paweł Kędzia +2 more
doaj +1 more source
Building instance knowledge network for word sense disambiguation [PDF]
In this paper, a new high precision focused word sense disambiguation (WSD) approach is proposed, which not only attempts to identify the proper sense for a word but also provides the probabilistic evaluation for the identification confidence at the same
Hu, Shangfeng +3 more
core +1 more source
Who gets redeployed? Inventor characteristics and resource redeployment decisions
Abstract Research Summary While the literature highlights the benefits of internally redeploying resources, there is less empirical guidance on which resources are most likely to be redeployed. We examine the relationship between inventor characteristics and redeployment decisions, motivated by the tension between costs and benefits of keeping a ...
Kyungsoo Kim, Isin Guler, Samina Karim
wiley +1 more source
Boosting Applied to Word Sense Disambiguation [PDF]
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polysemous words show that the boosting approach surpasses Naive Bayes and Exemplar-based approaches, which represent state-of-the-art accuracy on supervised WSD.
Escudero Bakx, Gerard +2 more
openaire +4 more sources
Handwritten Versus Typed Notes: The Impact of Note‐Taking Modes in Second Language Listening Tests
Abstract Technological advancements have influenced note‐taking practices in classrooms as well as their treatment in standardized language assessments. Many high‐stakes English listening tests (e.g., TOEFL iBT, IELTS) include varying note‐taking guidelines, often established without empirical support.
Jieun Kim
wiley +1 more source
Abstract Few have asked what happens to gender when a noun is heteroclitic – when its inflection draws on more than one inflection class. While heteroclisis has moved from being treated as a marginal irregularity to a theoretically revealing phenomenon, its implications for gender assignment remain largely unexplored.
Greville G. Corbett
wiley +1 more source
Word Sense Disambiguation Using Differential Evolution Algorithm
Word sense disambiguation (WSD) can be defined as the process of determining the meaning of a word as it is used in a specific context from a set of possible word senses.
Elaf Nassir Abud +2 more
doaj +1 more source

