Results 61 to 70 of about 14,887 (240)
Sentiment Analysis‐Based Model for Monitoring User Engagement With Mental Health Chatbots
Analyzing 82 102 mental health chatbot reviews, this study found Stochastic Gradient Descent with 93% accuracy as it best classified user sentiment, revealing reliability and content as engagement drivers. Sentiment analysis enhances chatbot design for better mental health support.
Ian Igado Mmbayi+2 more
wiley +1 more source
This paper describes our proposed solutions designed for a STS core track within the Se-mEval 2016 English Semantic Textual Similarity (STS) task. Our method of similarity detection combines recursive autoencoders with a WordNet award-penalty system that
Barbara Rychalska+4 more
semanticscholar +1 more source
Princeton WordNet is one of the most important resources for natural language processing, but is only available for English. While it has been translated using the expand approach to many other languages, this is an expensive manual process. Therefore it would be beneficial to have a high-quality automatic translation approach that would support NLP ...
Arcan, Mihael+2 more
openaire +2 more sources
ABSTRACT This study explores the wealth of information inherent in online employee reviews as an emerging resource in academic research. The focus is on the fields of finance, accounting, economics, and management, with an emphasis on how employee reviews contribute to our understanding of these areas.
Nils Gimpl
wiley +1 more source
WordNet and Cosine Similarity based Classifier of Exam Questions using Bloom's Taxonomy
Assessment usually plays an indispensable role in the education and it is the prime indicator of student learning achievement. Exam questions are the main form of assessment used in learning.
Kithsiri Jayakodi+3 more
semanticscholar +1 more source
English WordNet 2019 -- An Open-Source WordNet for English
We describe the release of a new wordnet for English based on the Princeton WordNet, but now developed under an open-source model. In particular, this version of WordNet, which we call English WordNet 2019, which has been developed by multiple people around the world through GitHub, fixes many errors in previous wordnets for English.
McCrae, John P.+4 more
openaire +2 more sources
Utemeljevanje sloWNeta na korpusnih podatkih
Wordnet lahko izdelamo na podlagi že obstoječega tujejezičnega wordneta ali pa kot osnovo za gradnjo vzamemo korpusne podatke. Prvi pristop je preprostejši in enostavnejši, zaradi česar ga razvijalci tudi najpogosteje uporabljajo.
Darja Fišer+2 more
doaj +1 more source
Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition
Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition The paper describes a system of lexico-semantic relations proposed for the nominal part of plWordNet 2.0 – the largest Polish wordnet.
Marek Maziarz+3 more
doaj +1 more source
Turing Jest: Distributional Semantics and One‐Line Jokes
Abstract Humor is an essential aspect of human experience, yet surprisingly, little is known about how we recognize and understand humorous utterances. Most theories of humor emphasize the role of incongruity detection and resolution (e.g., frame‐shifting), as well as cognitive capacities like Theory of Mind and pragmatic reasoning.
Sean Trott+3 more
wiley +1 more source
Integrating WordNet and Wiktionary with lemon [PDF]
Nowadays, there is a significant quantity of linguistic data available on the Web. However, linguistic resources are often published using proprietary formats and, as such, it can be difficult to interface with one another and they end up confined in “data silos”.
McCrae, John+5 more
openaire +3 more sources