Robust natural language processing: Recent advances, challenges, and future directions

M Omar, S Choi, DH Nyang, D Mohaisen - IEEE Access, 2022 - ieeexplore.ieee.org
Recent natural language processing (NLP) techniques have accomplished high
performance on benchmark data sets, primarily due to the significant improvement in the …

Readme: Bridging medical jargon and lay understanding for patient education through data-centric nlp

Z Yao, NS Kantu, G Wei, H Tran, Z Duan… - arXiv preprint arXiv …, 2023 - arxiv.org
The advancement in healthcare has shifted focus toward patient-centric approaches,
particularly in self-care and patient education, facilitated by access to Electronic Health …

An automated method to enrich consumer health vocabularies using GloVe word embeddings and an auxiliary lexical resource

M Ibrahim, S Gauch, O Salman, M Alqahtani - PeerJ Computer Science, 2021 - peerj.com
Background Clear language makes communication easier between any two parties. A
layman may have difficulty communicating with a professional due to not understanding the …

Analisis Sistem Rekomendasi Pada Job Recommendation Berdasarkan Profil Linkedin Menggunakan Cosine Similarity: ANALISIS SISTEM REKOMENDASI PADA …

R Habibi, MD Albanna - Jurnal Teknik Informatika, 2022 - ejurnal.ulbi.ac.id
Kemajuan teknologi melahirkan era otomatisasi yang sudah banyak memberikan
perubahan di berbagai sektor dalam kehidupan manusia. Namun ada beberapa hal yang …

Deteksi Sarkasme Pada Judul Berita Berbahasa Inggris Menggunakan Algoritme Bidirectional LSTM

MD Hilmawan - Journal of Dinda: Data Science …, 2022 - journal.ittelkom-pwt.ac.id
Sarkasme adalah penggunaan kata-kata pedas untuk menyakiti hati orang lain, berupa
cemoohan atau ejekan kasar. Kata sarkasme diturunkan dari kata Yunani sarkasmos yang …

WOVe: incorporating word order in GloVe word embeddings

M Ibrahim, S Gauch, T Gerth, B Cox - arXiv preprint arXiv:2105.08597, 2021 - arxiv.org
Word vector representations open up new opportunities to extract useful information from
unstructured text. Defining a word as a vector made it easy for the machine learning …

Graph-based natural language processing for the pharmaceutical industry

A Dumitriu, C Molony, C Daluwatte - … in Data Science: From Data Models …, 2020 - Springer
Text data in digital format (eg, physician's notes, pathology reports, notes accompanying
radiographic images, operational notes, text from digital content) are a commonly …

Human-machine dialogue intention recognition after fusion of global positional information of sentence text intention classification

P Hu, X Ke, Y Li - International Conference on Algorithms …, 2022 - spiedigitallibrary.org
Text intent classification technology, most of them are based on training semantic word
vectors to represent words to encode text. The word vectors considers semantics, grammar …

PENERAPAN METODE NAÏVE BAYES UNTUK MEREKOMENDASIKAN PEKERJAAN YANG SESUAI TERHADAP FRESH GRADUATE

IN Mulyanan, MYH Setyawan… - JATI (Jurnal Mahasiswa …, 2023 - ejournal.itn.ac.id
Di era teknologi yang kini berkembang, banyak lulusan baru yang menghadapi tantangan
dalam mencari pekerjaan yang cocok dengan spesialisasi mereka. Sebagai solusi, sistem …

Agricultural Domain-Specific Jargon Words Identification in Amharic Text

M Lake, T Tegegne - Advances of Science and Technology: 9th EAI …, 2022 - Springer
Abstract Domain-specific jargon words are lists of words used in formal communication of a
particular domain with domain experts and non-domain experts; however, it is difficult to …