Results 31 to 40 of about 1,460 (118)

Synapse at CAp 2017 NER challenge: Fasttext CRF

, 2017
We present our system for the CAp 2017 NER challenge which is about named entity recognition on French tweets. Our system leverages unsupervised learning on a larger dataset of French tweets to learn features feeding a CRF model. It was ranked first without using any gazetteer or structured external data, with an F-measure of 58.89\%.
Sileo, Damien, Pradel, Camille, Muller, Philippe, Van de Cruys, Tim   +3 more
openaire   +3 more sources

Chatbot Informasi Penerimaan Mahasiswa Baru Menggunakan Metode FastText dan LSTM

Journal of Applied Computer Science and Technology
New Student Admission (PMB) is an important stage in the continuity of education in an educational institution. The Faculty of Science and Informatics (FSI) at Jenderal Achmad Yani University (UNJANI) provides information services about PMB to prospective students and parents/guardians of prospective students but is still inefficient, so it is ...
Fahmi Yusron Fiddin, Agus Komarudin, Melina Melina   +2 more
openaire   +2 more sources

Analysis and Optimization of fastText Linear Text Classifier

, 2017
The paper [1] shows that simple linear classifier can compete with complex deep learning algorithms in text classification applications. Combining bag of words (BoW) and linear classification techniques, fastText [1] attains same or only slightly lower accuracy than deep learning algorithms [2-9] that are orders of magnitude slower.
Zolotov, Vladimir, Kung, David
openaire   +2 more sources

Non-Contextual BERT or FastText? A Comparative Analysis

Natural Language Processing (NLP) for low-resource languages, which lack large annotated datasets, faces significant challenges due to limited high-quality data and linguistic resources. The selection of embeddings plays a critical role in achieving strong performance in NLP tasks.
Shanbhag, Abhay, Jadhav, Suramya, Thakurdesai, Amogh, Sinare, Ridhima, Joshi, Raviraj   +4 more
openaire   +2 more sources

AttBiLSTM_DE: enhancing anticancer peptide prediction using word embedding and an optimized attention-based BiLSTM framework. [PDF]

Sci Rep
Juthy MJN, Mahmud SMH, Hosen MF, Aktar MN, Goh KOM, Shoombuatong W.   +5 more
europepmc   +1 more source

Transformer and Pre-Transformer Model-Based Sentiment Prediction with Various Embeddings: A Case Study on Amazon Reviews. [PDF]

Entropy (Basel)
Duru I, Sunar AS.
europepmc   +1 more source

GRUATT-AVP: leveraging a novel attention-based gated recurrent unit to advance the accuracy of antiviral peptide prediction. [PDF]

Sci Rep
Aziz MT, Rupok AS, Mahmud SMH, Goh KOM, Hosen MF, Shoombuatong W, Nandi D.   +6 more
europepmc   +1 more source

Tackling toxicity in Arabic social media through advanced detection techniques. [PDF]

Sci Rep
Hatem L, Omar A, Ali AA, Farghaly HM.
europepmc   +1 more source

Study of Tibetan Text Classification based on fastText

Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019), 2019
Jing Ma, Hongzhi Yu, Wei Ma
openaire   +1 more source

Lexical meaning is lower dimensional in psychosis. [PDF]

Sci Rep
Palominos C, Stein F, Kircher T, Ayesa-Arriola R, Palaniyappan L, Homan P, Sommer IE, Hinzen W.   +7 more
europepmc   +1 more source