Enhanced matrix inference with Seq2seq models via diagonal sorting
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DOI: 10.1038/s41598-023-50919-2
Abstract: The effectiveness of sequence-to-sequence (seq2seq) models in natural language processing has been well-established over time, and recent studies have extended their utility by treating mathematical computing tasks as instances of machine translation and achieving remarkable… read more here.
Keywords: inference seq2seq; matrix inference; seq2seq; enhanced matrix ... See more keywords
Multistep-Ahead Prediction of Logging-While-Drilling Resistivity Curves Based on Seismic-Guided Seq2Seq-Long Short-Term Memory
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DOI: 10.2118/221495-pa
Abstract: High-temperature and high-pressure reservoirs in complex geological conditions present primary targets and significant challenges in deepsea oil and gas exploration. Limited offshore drilling operations and lack of detailed geological data hinder accurate formation pressure prediction… read more here.
Keywords: resistivity; seq2seq; logging drilling; prediction ... See more keywords
Abstract Text Summarization with a Convolutional Seq2seq Model
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DOI: 10.3390/app9081665
Abstract: Abstract text summarization aims to offer a highly condensed and valuable information that expresses the main ideas of the text. Most previous researches focus on extractive models. In this work, we put forward a new… read more here.
Keywords: seq2seq; convolutional seq2seq; text summarization; abstract text ... See more keywords