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Papers Component Classification

“Component Classification” 태그가 달린 논문 27편 · 필터 해제

Contextual Argument Component Classification for Class Discussions

2021-02-20 · COLING 2020 8 · Luca Lugini, Diane Litman

Argument mining systems often consider contextual information, i.e. information outside of an argumentative discourse unit, when trained to accomplish tasks such as argument component identification, classification, and …

Argument MiningClassificationComponent ClassificationGeneral Classification+2

DFraud3- Multi-Component Fraud Detection freeof Cold-start

2020-06-10 · Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun

Fraud review detection is a hot research topic inrecent years. The Cold-start is a particularly new but significant problem referring to the failure of a detection system to recognize the authenticity of a new user. Stat…

Component ClassificationFraud DetectionGraph EmbeddingInductive Learning+1

Argument Component Classification for Classroom Discussions

2019-09-06 · WS 2018 11 · Luca Lugini, Diane Litman

This paper focuses on argument component classification for transcribed spoken classroom discussions, with the goal of automatically classifying student utterances into claims, evidence, and warrants. We show that an exi…

Argument MiningClassificationComponent ClassificationGeneral Classification+1

Argument Component Classification by Relation Identification by Neural Network and TextRank

2019-08-01 · WS 2019 8 · Mamoru Deguchi, Kazunori Yamaguchi

In recent years, argumentation mining, which automatically extracts the structure of argumentation from unstructured documents such as essays and debates, is gaining attention. For argumentation mining applications, argu…

ArticlesClassificationComponent ClassificationDocument Classification+3

Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning

2019-05-22 · Andrea Galassi, Kristian Kersting, Marco Lippi, Xiaoting Shao 외

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. In this position paper, we posit…

Argument MiningComponent ClassificationLink PredictionPosition+2

Argumentative Link Prediction using Residual Networks and Multi-Objective Learning

2018-11-01 · WS 2018 11 · Andrea Galassi, Marco Lippi, Paolo Torroni

We explore the use of residual networks for argumentation mining, with an emphasis on link prediction. The method we propose makes no assumptions on document or argument structure. We evaluate it on a challenging dataset…

Argument MiningComponent ClassificationLink PredictionRelation Classification

Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps

2018-02-07 · Kevin Moran, Carlos Bernal-Cárdenas, Michael Curcio, Richard Bonett 외

It is common practice for developers of user-facing software to transform a mock-up of a graphical user interface (GUI) into code. This process takes place both at an application's inception and in an evolutionary contex…

BIG-bench Machine LearningComponent Classification
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