Results 21 to 30 of about 24,148,830 (341)
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
A Scoping Literature Review of Natural Language Processing Application to Safety Occurrence Reports
Safety, 2023 Safety occurrence reports can contain valuable information on how incidents occur, revealing knowledge that can assist safety practitioners. This paper presents and discusses a literature review exploring how Natural Language Processing (NLP) has been ...
John W. Ricketts +3 more
semanticscholar +1 more source
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond [PDF]
Transactions of the Association for Computational Linguistics, 2021 A fundamental goal of scientific research is to learn about causal relationships. However, despite its critical role in the life and social sciences, causality has not had the same importance in Natural Language Processing (NLP), which has traditionally ...
Amir Feder +12 more
semanticscholar +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
Application of C1DAE-ANIL in End-to-End Communication of IRS-Assisted UAV System
IEEE Access, 2022 Due to the uninterrupted flight of the unmanned aerial vehicles (UAV) and the varying phase of the intelligent reflecting surface (IRS) in the IRS-assisted UAV communication system, it is very difficult to estimate the channel information of the system ...
Mingzhu Wu +3 more
doaj +1 more source
Constraints in language processing [PDF]
Proceedings of the Third Workshop on Constraints and Language Processing - CSLP '06, 2006 One of the central assumptions of Optimality Theory is the hypothesis of strict domination among constraints. A few studies have suggested that this hypothesis is too strong and should be abandoned in favor of a weaker cumulativity hypothesis. If this suggestion is correct, we should be able to find evidence for cumulativity in the comprehension of ...
van der Feen, M. +2 more
openaire +2 more sources
TweetNLP: Cutting-Edge Natural Language Processing for Social Media [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media. TweetNLP supports a diverse set of NLP tasks, including generic focus areas such as sentiment analysis and named entity recognition, as well ...
José Camacho-Collados +13 more
semanticscholar +1 more source
Efficient Methods for Natural Language Processing: A Survey [PDF]
Transactions of the Association for Computational Linguistics, 2022 Recent work in natural language processing (NLP) has yielded appealing results from scaling model parameters and training data; however, using only scale to improve performance means that resource consumption also grows. Such resources include data, time,
Marcos Vinícius Treviso +18 more
semanticscholar +1 more source
Performance Study of N-grams in the Analysis of Sentiments
Journal of Nigerian Society of Physical Sciences, 2021 In this work, a study investigation was carried out using n-grams to classify sentiments with different machine learning and deep learning methods. We used this approach, which combines existing techniques, with the problem of predicting sequence tags to
O. E. Ojo +3 more
doaj +1 more source
Readers and Reading in the First World War [PDF]
, 2015 This essay consists of three individually authored and interlinked sections. In ‘A Digital Humanities Approach’, Francesca Benatti looks at datasets and databases (including the UK Reading Experience Database) and shows how a systematic, macro-analytical
Edmund G. C. King, +4 more
core +1 more source