Results 61 to 70 of about 1,930,637 (304)
Conference on Empirical Methods in Natural Language Processing, 2022 Argument mining (AM) is a challenging task as it requires recognizing the complex argumentation structures involving multiple subtasks.To handle all subtasks of AM in an end-to-end fashion, previous works generally transform AM into a dependency parsing ...
Jianzhu Bao +7 more
semanticscholar +1 more source
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
Frontiers in Big Data, 2020 Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning tasks.
Andrea Galassi +4 more
doaj +1 more source
Joint RNN Model for Argument Component Boundary Detection
, 2017 Argument Component Boundary Detection (ACBD) is an important sub-task in argumentation mining; it aims at identifying the word sequences that constitute argument components, and is usually considered as the first sub-task in the argumentation mining ...
Du, Yang +5 more
core +1 more source
Argument Mining on Italian News Blogs [PDF]
, 2016 The goal of argument mining is to extract structured information, namely the arguments and their relations, from unstructured text. In this paper, we propose an approach to argument relation prediction based on supervised learning of linguistic and semantic features of the text.
Pierpaolo Basile +3 more
openaire +4 more sources
KFF-Transformer: A Human–AI Collaborative Framework for Fine-Grained Argument Element Identification
Applied SciencesWith the rapid development of intelligent computing and artificial intelligence, there is an increasing demand for efficient, interpretable, and interactive frameworks for fine-grained text analysis.
Xuxun Cai +3 more
doaj +1 more source
Decompositional Argument Mining:A General Purpose Approach for Argument Graph Construction [PDF]
, 2019 This work presents an approach decomposing propositions into four functional components and identify the patterns linking those components to determine argument structure.
Gemechu, Debela, Reed, Chris
core +2 more sources
Argument Mining on Clinical Trials
, 2018 Argument-based decision making has been employed to support a variety of reasoning tasks over medical knowledge. These include evidence-based justifications of the effects of treatments, the detection of conflicts in the knowledge base, and the enabling of uncertain and defeasible reasoning in the health-care sector.
Mayer, Tobias +4 more
openaire +5 more sources
Argument Mining for Review Helpfulness Prediction
Conference on Empirical Methods in Natural Language Processing, 2022 The importance of reliably determining the helpfulness of product reviews is rising as both helpful and unhelpful reviews continue to accumulate on e-commerce websites.
Zaiqian Chen +4 more
semanticscholar +1 more source
Arthritis Care &Research, Accepted Article.Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase (MMP)‐7, and serum anti‐malondialdehyde‐acetaldehyde (anti‐MAA) antibody for RA‐associated interstitial lung disease risk stratification. Methods Using a multicenter cohort of US veterans with RA, we performed a cross‐
Kelsey Coziahr +16 more
wiley +1 more source
Exploring Discourse Markers for Automated Argument Mining in Student Essays [PDF]
Journal of Universal Computer ScienceThis paper explores Natural Language Processing (NLP) in automatic comprehension and discourse analysis, focusing on argument mining. While previous works have focused on English, this study addresses the lack of adequate corpora and methodologies for ...
Aluizio Haendchen Filho +3 more
doaj +3 more sources