Results 21 to 30 of about 7,351 (251)

Chinese Textual Entailment Recognition Fused with External Semantic Knowledge [PDF]

Jisuanji gongcheng, 2021
The textual entailment recognition model based on neural network learns inference knowledge only from training data,which leads to the weak generalization ability of the model.This paper proposes a Chinese Knowledge Enhanced Inference Model(CKEIM) fused ...
LI Shibao, LI He, ZHAO Qingshuai, YIN Lele, LIU Jianhang, HUANG Tingpei
doaj   +1 more source

Improving astroBERT using Semantic Textual Similarity

CoRR, 2022
The NASA Astrophysics Data System (ADS) is an essential tool for researchers that allows them to explore the astronomy and astrophysics scientific literature, but it has yet to exploit recent advances in natural language processing. At ADASS 2021, we introduced astroBERT, a machine learning language model tailored to the text used in astronomy papers ...
Félix Grèzes, Thomas Allen, Sergi Blanco-Cuaresma, Alberto Accomazzi, Michael J. Kurtz, Golnaz Shapurian, Edwin A. Henneken, Carolyn S. Grant, Donna M. Thompson, Timothy W. Hostetler, Matthew R. Templeton, Kelly E. Lockhart, Shinyi Chen, Jennifer Koch, Taylor Jacovich, Pavlos Protopapas   +15 more
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Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis

JMIR Medical Informatics, 2021
BackgroundSemantic textual similarity (STS) is a natural language processing (NLP) task that involves assigning a similarity score to 2 snippets of text based on their meaning.
Ormerod, Mark, Martínez del Rincón, Jesús, Devereux, Barry   +2 more
doaj   +1 more source

Identifying cross-lingual plagiarism using rich semantic features and deep neural networks: A study on Arabic-English plagiarism cases

Journal of King Saud University: Computer and Information Sciences, 2022
The rapid growth in the digital era initiates the need to inculcate and preserve the academic originality of translated texts. Cross-lingual semantic similarity is concerned with identifying the degree of similarity of textual pairs written in two ...
Salha Alzahrani, Hanan Aljuaid
doaj   +1 more source

Textual Similarity Measurement Approaches: A Survey (1) [PDF]

The Egyptian Journal of Language Engineering, 2020
Survey research is appropriate and necessary to address certain research question types. This paper aims to provide a general overview of the textual similarity in the literature.
Taher Hamza, Aya Al-Zoghby, Amira Abo-Elghit   +2 more
doaj   +1 more source

Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window.

PLoS ONE, 2020
Measuring the semantic similarity between words is important for natural language processing tasks. The traditional models of semantic similarity perform well in most cases, but when dealing with words that involve geographical context, spatial semantics
Bozhi Wang, Teng Fei, Yuhao Kang, Meng Li, Qingyun Du, Meng Han, Ning Dong   +6 more
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Learning Semantic Textual Similarity from Conversations [PDF]

Proceedings of The Third Workshop on Representation Learning for NLP, 2018
We present a novel approach to learn representations for sentence-level semantic similarity using conversational data. Our method trains an unsupervised model to predict conversational input-response pairs. The resulting sentence embeddings perform well on the semantic textual similarity (STS) benchmark and SemEval 2017's Community Question Answering ...
Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil   +9 more
openaire   +2 more sources

SSM: Stylometric and semantic similarity oriented multimodal fake news detection

Journal of King Saud University: Computer and Information Sciences, 2023
Over the years, there has been a rise in the number of fabricated and fake news stories that utilize both textual and visual information formats. This coincides with the increased likelihood that users will acquire their news from websites and social ...
Muhammad Imran Nadeem, Kanwal Ahmed, Zhiyun Zheng, Dun Li, Muhammad Assam, Yazeed Yasin Ghadi, Fatemah H. Alghamedy, Elsayed Tag Eldin   +7 more
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Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding [PDF]

PeerJ Computer Science, 2022
A textual data processing task that involves the automatic extraction of relevant and salient keyphrases from a document that expresses all the important concepts of the document is called keyphrase extraction.
Talha Bin Sarwar, Noorhuzaimi Mohd Noor, M. Saef Ullah Miah   +2 more
doaj   +2 more sources

Recent Advances in Text-to-Image Synthesis: Approaches, Datasets and Future Research Prospects

IEEE Access, 2023
Text-to-image synthesis is a fascinating area of research that aims to generate images based on textual descriptions. The main goal of this field is to generate images that match the given textual description in terms of both semantic consistency and ...
Yong Xuan Tan, Chin Poo Lee, Mai Neo, Kian Ming Lim, Jit Yan Lim, Ali Alqahtani   +5 more
doaj   +1 more source