Results 1 to 10 of about 3,148,832 (339)
Organizing an in-class hackathon to correct PDF-to-text conversion errors of 1.0 [PDF]
Genomics & Informatics, 2020 This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first ...
Sunho Kim +44 more
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Testing network clustering algorithms with natural language processing. [PDF]
Front Artif IntellAchitouv I, Chavalarias D, Gaume B.
europepmc +3 more sources
Computational Linguistics, 2021 Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given. In this article, we present a neural network approach called RYANSQL (Recursively Yielding Annotation Network for SQL) to solve complex ...
DongHyun Choi +3 more
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Editorial: Natural language processing for recommender systems. [PDF]
Front Big DataKrzywicki A, Bain M, Wobcke W.
europepmc +3 more sources
Development of a software and hardware solution to identify trends in demand for goods
Вестник Дагестанского государственного технического университета: Технические науки, 2023 Objective. The aim of the research work is to develop a software solution for identifying trends in demand for consumer goods by analyzing big data.Method.
A. I. Miftahova +5 more
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Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
Politics and Governance, 2020 This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora.
Sebastian Haunss +6 more
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ID2SBVR: A Method for Extracting Business Vocabulary and Rules from an Informal Document
Big Data and Cognitive Computing, 2022 Semantics of Business Vocabulary and Rules (SBVR) is a standard that is applied in describing business knowledge in the form of controlled natural language.
Irene Tangkawarow +2 more
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Making Sense of Language Signals for Monitoring Radicalization
Applied Sciences, 2022 Understanding radicalization pathways, drivers, and factors is essential for the effective design of prevention and counter-radicalization programs. Traditionally, the primary methods used by social scientists to detect these drivers and factors include ...
Óscar Araque +7 more
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Design of autonomous family companion robot based on ROS
Dianzi Jishu Yingyong, 2021 Aiming at the problem of left-behind children, empty-nest elderly, and people with reduced mobility, an autonomous family companion robot was designed.
Li Jianyong +3 more
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Sentiment Analysis: Linguistic Potential of Preprocessing Regimentation
Виртуальная коммуникация и социальные сети, 2023 The article deals with the sentiment analysis regimentation as a relevant direction in automated natural language processing and its linguistic potential.
Aleksandr A. Barkovich
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