Results 61 to 70 of about 36,682 (258)

Thematic Analysis of Expert Opinions on the Use of Large Language Models in Software Development

Applied AI Letters, Volume 6, Issue 3, October 2025.
ABSTRACT Large Language Models (LLMs) have gained popularity in recent years due to their ability to generate human‐like text and conduct context‐aware conversations in natural languages. This ability can be greatly beneficial for fields like software development, where LLMs can assist with tasks such as code generation, code review, and debugging.
Sargam Yadav, Abhishek Kaushik, Asifa Mehmood Qureshi   +2 more
wiley   +1 more source

3DText: Perceiving sentence-level text on 3-D model of emotions

Engineering and Applied Science Research, 2020
Emotion is a psychological process which reveals the sentiments and feelings of a human being. Relating emotions detection process with psychological theory of emotions serves as the strong foundation for the system.
Shalu Choudhary, Shikha Jain
doaj   +1 more source

Medical WordNet: A new methodology for the construction and validation of information resources for consumer health [PDF]

, 2004
A consumer health information system must be able to comprehend both expert and non-expert medical vocabulary and to map between the two. We describe an ongoing project to create a new lexical database called Medical WordNet (MWN), consisting ...
Fellbaum, Christiane, Smith, Barry
core  

A visual embedding for the unsupervised extraction of abstract semantics [PDF]

, 2017
Vector-space word representations obtained from neural network models have been shown to enable semantic operations based on vector arithmetic. In this paper, we explore the existence of similar information on vector representations of images.
Ayguadé Parra, Eduard, Béjar Alonso, Javier, Chen, R, Cortés García, Claudio Ulises, García Gasulla, Dario, Labarta Mancho, Jesús José, Suzumura, Toyotaro   +6 more
core   +2 more sources

Characterizing the Large‐Scale Structure of Multimodal Semantic Networks

Cognitive Science, Volume 49, Issue 10, October 2025.
Abstract Humans organize semantic knowledge into complex networks that encode relations between concepts. The structure of those networks has broad implications for human cognitive processes, and for theories of semantic development. Evidence from large lexical networks such as those derived from word associations suggest that semantic networks are ...
Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Harin Lee, Nori Jacoby, Thomas L. Griffiths   +5 more
wiley   +1 more source

Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition

Cognitive Studies | Études cognitives, 2015
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, Maciej Piasecki, Stanisław Szpakowicz, Joanna Rabiega-Wiśniewska   +3 more
doaj   +1 more source

English WordNet 2019 -- An Open-Source WordNet for English

, 2019
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., Rademaker, Alexandre, Bond, Francis, Rudnicka, Ewa, Fellbaum, Christiane   +4 more
openaire   +1 more source

Transfer Learning‐Based Automatic Sentiment Annotation of a Twitter‐Based Arabic Mental Illness (AMI) Dataset

Expert Systems, Volume 42, Issue 10, October 2025.
ABSTRACT Sentiment analysis, crucial for discerning emotional tones in text, relies on manual annotation to train machine learning models and is considered the gold standard for creating annotated corpora. However, this process is time‐consuming, labour‐intensive, and prone to biases. This paper proposes an automatic annotation approach for the Twitter‐
Arwa Diwali, Kawther Saeedi, Kia Dashtipour, Mandar Gogate, Zain Hussain, Adam Howard, Amir Hussain   +6 more
wiley   +1 more source

Persian Wordnet Construction using Supervised Learning

International Journal of Information and Communication Technology Research, 2017
This paper presents an automated supervised method for Persian wordnet construction. Using a Persian corpus and a bi-lingual dictionary, the initial links between Persian words and Princeton WordNet synsets have been generated.
Zahra Mousavi, Heshaam Faili, Marzieh Fadaee   +2 more
doaj  

The data-driven Bulgarian WordNet: BTBWN

Cognitive Studies | Études cognitives, 2018
The data-driven Bulgarian WordNet: BTBWN The paper presents our work towards the simultaneous creation of a data-driven WordNet for Bulgarian and a manually annotated treebank with semantic information.
Petya Osenova, Kiril Simov
doaj   +1 more source