A brief overview of universal sentence representation methods: A linguistic view
How to transfer the semantic information in a sentence to a computable numerical
embedding form is a fundamental problem in natural language processing. An informative …
embedding form is a fundamental problem in natural language processing. An informative …
Pseudo-relevance feedback for multiple representation dense retrieval
Pseudo-relevance feedback mechanisms, from Rocchio to the relevance models, have
shown the usefulness of expanding and reweighting the users' initial queries using …
shown the usefulness of expanding and reweighting the users' initial queries using …
ColBERT-PRF: Semantic pseudo-relevance feedback for dense passage and document retrieval
Pseudo-relevance feedback mechanisms, from Rocchio to the relevance models, have
shown the usefulness of expanding and reweighting the users' initial queries using …
shown the usefulness of expanding and reweighting the users' initial queries using …
Deep learning–based named entity recognition and resolution of referential ambiguities for enhanced information extraction from construction safety regulations
X Wang, N El-Gohary - Journal of Computing in Civil Engineering, 2023 - ascelibrary.org
Construction safety regulations and standards contain a massive number of fall protection
requirements with respect to different equipment, facilities, and operations. Automated field …
requirements with respect to different equipment, facilities, and operations. Automated field …
Deep-qpp: A pairwise interaction-based deep learning model for supervised query performance prediction
Motivated by the recent success of end-to-end deep neural models for ranking tasks, we
present here a supervised end-to-end neural approach for query performance prediction …
present here a supervised end-to-end neural approach for query performance prediction …
Automatic document screening of medical literature using word and text embeddings in an active learning setting
Document screening is a fundamental task within Evidence-based Medicine (EBM), a
practice that provides scientific evidence to support medical decisions. Several approaches …
practice that provides scientific evidence to support medical decisions. Several approaches …
A literature embedding model for cardiovascular disease prediction using risk factors, symptoms, and genotype information
Accurate prediction of cardiovascular disease (CVD) requires multifaceted information
consisting of not only a patient's medical history, but genomic data, symptoms, lifestyle, and …
consisting of not only a patient's medical history, but genomic data, symptoms, lifestyle, and …
Dimension importance estimation for dense information retrieval
Recent advances in Information Retrieval have shown the effectiveness of embedding
queries and documents in a latent high-dimensional space to compute their similarity. While …
queries and documents in a latent high-dimensional space to compute their similarity. While …
[PDF][PDF] Social media sentiment analysis using convolutional neural network (CNN) dan gated recurrent unit (GRU)
AZR Adam, EB Setiawan - Jurnal Ilmiah Teknik Elektro Komputer …, 2023 - researchgate.net
The advancing technologies are aimed to maximize human performance. One of the great
developments in technology is social media. The social media used in this study is Twitter …
developments in technology is social media. The social media used in this study is Twitter …
A hybrid query expansion framework for the optimal retrieval of the biomedical literature
With the proliferation of biomedical literature, it is quite challenging for biomedical scientists
to keep them updated with the new advancements. In biomedical literature retrieval systems …
to keep them updated with the new advancements. In biomedical literature retrieval systems …