Results 11 to 20 of about 760 (191)

Text augmentation using a graph-based approach and clonal selection algorithm

Machine Learning with Applications, 2023
Annotated data is critical for machine learning models, but producing large amounts of data with high-quality labeling is a time-consuming and labor-intensive process.
Hadeer Ahmed, Issa Traore, Mohammad Mamun, Sherif Saad   +3 more
doaj   +1 more source

AMR-To-Text Generation with Graph Transformer

Transactions of the Association for Computational Linguistics, 2020
meaning representation (AMR)-to-text generation is the challenging task of generating natural language texts from AMR graphs, where nodes represent concepts and edges denote relations.
Wang, Tianming, Wan, Xiaojun, Jin, Hanqi
doaj   +1 more source

GCN-BERT and Memory Network Based Multi-Label Classification for Event Text of the Chinese Government Hotline

IEEE Access, 2022
In order to automatically generate multiple labels for the event text of the Chinese government hotline, this paper propose a multi-label classification framework based on graph convolutional network (GCN), BERT, and memory network.
Bin Liu
doaj   +1 more source

Hierarchical Clause Annotation: Building a Clause-Level Corpus for Semantic Parsing with Complex Sentences

Applied Sciences, 2023
Most natural-language-processing (NLP) tasks suffer performance degradation when encountering long complex sentences, such as semantic parsing, syntactic parsing, machine translation, and text summarization.
Yunlong Fan, Bin Li, Yikemaiti Sataer, Miao Gao, Chuanqi Shi, Siyi Cao, Zhiqiang Gao   +6 more
doaj   +1 more source

Deep2s: Improving Aspect Extraction in Opinion Mining With Deep Semantic Representation

IEEE Access, 2020
Syntactical rule based approaches for aspect extraction, which are free from expensive manual annotation, are promising in practice. These approaches extract aspects mainly through the dependency relations in the surface sentence structures.
Xuelian Li, Bi Wang, Lixin Li, Zhiqiang Gao, Qian Liu, Hancheng Xu, Lanting Fang   +6 more
doaj   +1 more source

Semantic Neural Machine Translation Using AMR

Transactions of the Association for Computational Linguistics, 2019
It is intuitive that semantic representations can be useful for machine translation, mainly because they can help in enforcing meaning preservation and handling data sparsity (many sentences correspond to one meaning) of machine translation models.
Song, Linfeng, Gildea, Daniel, Zhang, Yue, Wang, Zhiguo, Su, Jinsong   +4 more
doaj   +1 more source

Special Thematic Section on Semantic Models for Natural Language Processing (Preface)

Cybernetics and Information Technologies, 2018
With the availability of large language data online, cross-linked lexical resources (such as BabelNet, Predicate Matrix and UBY) and semantically annotated corpora (SemCor, OntoNotes, etc.), more and more applications in Natural Language Processing (NLP)
Simov Kiril, Osenova Petya
doaj   +1 more source

Integrating Abstract Meaning Representation to Enhance Transformer-Based Image Captioning

IEEE Access
Although recent image captioning models have achieved substantial progress, they still encounter limitations in capturing abstract semantics, resulting in insufficient semantic depth and limited diversity in expression.
Nguyen Van Thinh, Tran Lang, Van The Thanh   +2 more
doaj   +1 more source

AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
Accepted to NAACL 2025 ...
Peitao Han, Lis Pereira, Fei Cheng 0002, Wan-Jou She, Eiji Aramaki   +4 more
openaire   +2 more sources

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source