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Argument Mining
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Argument Mining is a field of corpus-based discourse analysis that involves the automatic identification of argumentative structures in text.
Source: AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AGalassi/StructurePrediction18
공식 코드https://github.com/Armaniii/WIBA
공식 코드WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining
https://github.com/HKUST-KnowComp/KnowComp-DialAM2024-ACL2024
공식 코드https://github.com/Hellisotherpeople/DebateSum
공식 코드DebateSum: A large-scale argument mining and summarization dataset
https://github.com/Hellisotherpeople/debate2vec
공식 코드DebateSum: A large-scale argument mining and summarization dataset
https://github.com/JeremCab/AMwithGPT
공식 코드https://github.com/LCS2-IIITD/LESA-EACL-2021
공식 코드https://github.com/LegalAM/JDMDH-2022-ECHR
공식 코드Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks
https://github.com/ReCAP-UTR/Argument-Graph-Mining
공식 코드Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs
https://github.com/UKPLab/acl2019-BERT-argument-classification-and-clustering
공식 코드Classification and Clustering of Arguments with Contextualized Word Embeddings
https://github.com/UKPLab/arxiv2018-bayesian-ensembles
공식 코드https://github.com/UKPLab/emnlp2017-claim-identification
공식 코드What is the Essence of a Claim? Cross-Domain Claim Identification
https://github.com/Yale-LILY/ConvoSumm
공식 코드https://github.com/adewynter/argumentation-llms
공식 코드"I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language Models
https://github.com/adlnlp/doc_gcn
공식 코드Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis
https://github.com/alessiopittiglio/mm-argfallacy
공식 코드Leveraging Context for Multimodal Fallacy Classification in Political Debates
https://github.com/alibaba-nlp/key-point-analysis
공식 코드Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning
https://github.com/anaryegen/few_shot_argument_mining
공식 코드Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques
https://github.com/anasishfaque/voltavision
공식 코드VoltaVision: A Transfer Learning model for electronic component classification
https://github.com/arvind-balaji/debate-cards
공식 코드DebateSum: A large-scale argument mining and summarization dataset
https://github.com/bxshi/DiscourseVisualization
공식 코드https://github.com/cvg/lightglue
공식 코드https://github.com/damo-nlp-sg/llm-argumentation
공식 코드Exploring the Potential of Large Language Models in Computational Argumentation
https://github.com/engsalem/arglegalsumm
공식 코드ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining
https://github.com/fromm-m/aaai2021-am-peer-reviews
공식 코드https://github.com/guojiapub/quadtag
공식 코드AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach
https://github.com/hadi-ghnd/scrap-classification
공식 코드https://github.com/haobytes/argsum-datatset
공식 코드Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
https://github.com/harrywilldr/argsum-datatset
공식 코드Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
https://github.com/hellisotherpeople/debatekg
공식 코드DebateKG: Automatic Policy Debate Case Creation with Semantic Knowledge Graphs
https://github.com/hkust-knowcomp/tilfa
공식 코드TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining
https://github.com/ixa-ehu/antidote-casimedicos
공식 코드https://github.com/jairsan/vivesdebate-speech
공식 코드VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining
https://github.com/jeevesh8/arg_mining
공식 코드Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?
https://github.com/joelniklaus/lawinstruct
공식 코드LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
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