Results 11 to 20 of about 1,717,816 (270)
Robustness Analysis of Control Laws in Complex Dynamical Networks Evoked by Deviating Argument [PDF]
Discrete Dynamics in Nature and Society, 2022 In recent years, robust performance of the system has been broadly studied as a trending topic among a vast array of scholars. This paper discusses the robustness of control laws for complex dynamic networks (CDNs) with a deviation argument. We design two categories of control laws (linear control law and nonlinear control law) for the undisturbed CDNs
Biwen Lia, Jingjing Huang, Donglun Wang
doaj +3 more sources
Disentangling scaling arguments to empower complex systems analysis [PDF]
Nature Physics, 2020 Scaling arguments provide valuable analysis tools across physics and complex systems yet are often employed as one generic method, without explicit reference to the various mathematical concepts underlying them. A careful understanding of these concepts empowers us to unlock their full potential.
Marc Timme, Malte Schröder
openaire +4 more sources
Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks [PDF]
Journal of Data Mining and Digital Humanities, 2022 The contextual word embedding model, BERT, has proved its ability on downstream tasks with limited quantities of annotated data. BERT and its variants help to reduce the burden of complex annotation work in many interdisciplinary research areas, for ...
Gechuan Zhang, P. Nulty, David Lillis
semanticscholar +3 more sources
A comparative analysis of syntactic complexity in argumentative essays from rhetorical perspective: ChatGPT vs. English native speakers. [PDF]
PLoS OneThis study investigates the syntactic complexity of argumentative essays generated by ChatGPT in comparison to those written by native speakers. By examining cross-rhetorical-stage variation in syntactic complexity, we explore how ChatGPT’s writing aligns with or diverges from human argumentative writing.
Liu W, Liu X.
europepmc +3 more sources
First Phase Syntax of Persian Complex Predicates: Argument Structure and Telicity
Nordlyd: Tromsø University Working Papers on Language & Linguistics, 2008 In this paper, I propose an analysis of Persian complex predicates, based on the First Phase Verbal syntax developed by Ramchand (2008). I suggest that the light verbs lexicalize the subevent heads into which the verbal phrase is decomposed, while the ...
M. Pantcheva
semanticscholar +3 more sources
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning [PDF]
NAACL-HLT, 2022 Recent work has shown that NLP tasks such as Relation Extraction (RE) can be recasted as Textual Entailment tasks using verbalizations, with strong performance in zero-shot and few-shot settings thanks to pre-trained entailment models.
Oscar Sainz +4 more
semanticscholar +1 more source
The Legal Argument Reasoning Task in Civil Procedure [PDF]
NLLP, 2022 We present a new NLP task and dataset from the domain of the U.S. civil procedure. Each instance of the dataset consists of a general introduction to the case, a particular question, and a possible solution argument, accompanied by a detailed analysis of
Leonard Bongard +2 more
semanticscholar +1 more source
Automatic Debate Evaluation with Argumentation Semantics and Natural Language Argument Graph Networks [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 The lack of annotated data on professional argumentation and complete argumentative debates has led to the oversimplification and the inability of approaching more complex natural language processing tasks.
Ramon Ruiz-Dolz +2 more
semanticscholar +1 more source
Performance analysis of large language models in the domain of legal argument mining
Frontiers Artif. Intell., 2023 Generative pre-trained transformers (GPT) have recently demonstrated excellent performance in various natural language tasks. The development of ChatGPT and the recently released GPT-4 model has shown competence in solving complex and higher-order ...
Abdullah Al Zubaer +2 more
semanticscholar +1 more source
Remote Sensing, 2021 Automatic damage detection using deep learning warrants an extensive data source that captures complex pavement conditions. This paper proposes a thermal-RGB fusion image-based pavement damage detection model, wherein the fused RGB-thermal image is ...
Cheng Chen +3 more
semanticscholar +1 more source