Results 1 to 10 of about 4,133 (219)

Recognition of Alzheimer’s Dementia From the Transcriptions of Spontaneous Speech Using fastText and CNN Models

Frontiers in Computer Science, 2021
Alzheimer’s dementia (AD) is a type of neurodegenerative disease that is associated with a decline in memory. However, speech and language impairments are also common in Alzheimer’s dementia patients. This work is an extension of our previous work, where
Amit Meghanani, A G Ramakrishnan
exaly   +3 more sources

Requirements Classification Using FastText and BETO in Spanish Documents

Lecture Notes in Computer Science, 2023
Requirements classification using fastText and BETO in Spanish documents. Published version of code and datasets used. Cited as: Limaylla-Lunarejo, M. I., Condori-Fernandez, N., & Luaces, M. R. (2023, April). Requirements Classification Using FastText and BETO in Spanish Documents.
Nelly Condori Fernández, Miguel Rodríguez Luaces, Maria-Isabel Limaylla-Lunarejo   +2 more
exaly   +4 more sources

Fast2Vec, a modified model of FastText that enhances semantic analysis in topic evolution [PDF]

PeerJ Computer Science
Background Topic modeling approaches, such as latent Dirichlet allocation (LDA) and its successor, the dynamic topic model (DTM), are widely used to identify specific topics by extracting words with similar frequencies from documents.
Ayu Pertiwi, Azhari Azhari, Sri Mulyana
doaj   +3 more sources

FastText-Based Intent Detection for Inflected Languages [PDF]

Information, 2019
Intent detection is one of the main tasks of a dialogue system. In this paper, we present our intent detection system that is based on fastText word embeddings and a neural network classifier.
Kaspars Balodis, Daiga Deksne
doaj   +2 more sources

AI-Enhanced Semantic Feature Norms for 786 Concepts. [PDF]

Top Cogn Sci
Abstract Semantic feature norms have been foundational in the study of human conceptual knowledge, yet traditional methods face trade‐offs between concept/feature coverage and verifiability of quality due to the labor‐intensive nature of norming studies.
Suresh S, Mukherjee K, Giallanza T, Yu X, Patil M, Cohen JD, Rogers TT.   +6 more
europepmc   +2 more sources

NToxSEM: Enhancing prediction of neurotoxic peptides and neurotoxins using a stacked ensemble-based multimodal framework. [PDF]

Protein Sci
Abstract The safety assessment of therapeutic proteins and genetically modified (GM) organisms relies heavily on the rapid and accurate prediction of peptides, and proteins that exhibit neurotoxic activity. Since experimental methods are time‐consuming and costly, they are not technically suitable for the cost‐effective characterization of neurotoxic ...
Shoombuatong W, Schaduangrat N, Mahmud SMH, Ahmed S.   +3 more
europepmc   +2 more sources

Sentiment Classification Using fastText Embedding and Deep Learning Model

Procedia Computer Science, 2021
Abstract Along with the growing popularity of deep learning to handle classification problems, various deep learning models have emerged having complex architectures. The disadvantage of a model with a complex architecture is the computational problem in which takes longer training time than a simple model.
exaly   +3 more sources

HyperText: Endowing FastText with Hyperbolic Geometry [PDF]

Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Natural language data exhibit tree-like hierarchical structures such as the hypernym-hyponym relations in WordNet. FastText, as the state-of-the-art text classifier based on shallow neural network in Euclidean space, may not model such hierarchies precisely with limited representation capacity.
Yudong Zhu, Di Zhou, Jinghui Xiao, Xin Jiang 0002, Xiao Chen 0012, Qun Liu 0001   +5 more
openaire   +3 more sources

Study on Title Encoding Methods for e-Commerce Downstream Tasks

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022
In an e-Commerce marketplace there are usually many downstream tasks which have (relatively) less available resources than the few mainstream priority tasks, like recommendation or search.
Cristian Cardellino, Rafael Carrascosa
doaj   +1 more source

Aspect-Bas1ed Sentiment Analysis on Twitter Using Logistic Regression with FastText Feature Expansion

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
Social media has recently been widely used by users, especially Indonesians, as a place to express themselves in sentences, pictures, sounds, or videos. Twitter is one of the social media favored by people of diverse ages.
Hanif Reangga Alhakiem, Erwin Budi Setiawan   +1 more
doaj   +1 more source