Results 1 to 10 of about 3,192,620 (340)
Connectionist natural language parsing [PDF]
Trends in Cognitive Sciences, 2002 The key developments of two decades of connectionist parsing are reviewed. Connectionist parsers are assessed according to their ability to learn to represent syntactic structures from examples automatically, without being presented with symbolic grammar rules.
Palmer-Brown, D, Tepper, JA, Powell, HM
openaire +4 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Digital phenotyping of Parkinson's disease via natural language processing. [PDF]
NPJ Parkinsons DisAresta S +11 more
europepmc +3 more sources
Natural language-guided programming [PDF]
Proceedings of the 2021 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software, 2021 In today's software world with its cornucopia of reusable software libraries, when a programmer is faced with a programming task that they suspect can be completed through the use of a library, they often look for code examples using a search engine and then manually adapt found examples to their specific context of use.
Geert Heyman +3 more
openaire +3 more sources