default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDArgMining@EMNLP 2023: Singapore
- Milad Alshomary, Chung-Chi Chen, Smaranda Muresan, Joonsuk Park, Julia Romberg:
Proceedings of the 10th Workshop on Argument Mining, ArgMining 2023, Singapore, December 7, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-050-9 - Frontmatter.
- Ramon Ruiz-Dolz
, John Lawrence:
Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models. 1-10 - Regina Stodden, Laura Kallmeyer, Lea Kawaletz, Heidrun Dorgeloh:
Using Masked Language Model Probabilities of Connectives for Stance Detection in English Discourse. 11-18 - Camélia Guerraoui, Paul Reisert, Naoya Inoue, Farjana Sultana Mim, Keshav Singh, Jungmin Choi, Irfan Robbani, Shoichi Naito, Wenzhi Wang, Kentaro Inui:
Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation. 19-34 - Samuel Guilluy, Florian Méhats, Billal Chouli:
Constituency Tree Representation for Argument Unit Recognition. 35-44 - Jan Heinrich Reimer, Alexander Bondarenko, Maik Fröbe, Matthias Hagen:
Stance-Aware Re-Ranking for Non-factual Comparative Queries. 45-51 - Basit Ali, Sachin Pawar, Girish K. Palshikar, Anindita Sinha Banerjee, Dhirendra Singh:
Legal Argument Extraction from Court Judgements using Integer Linear Programming. 52-63 - Omid Kashefi, Sophia Chan, Swapna Somasundaran:
Argument Detection in Student Essays under Resource Constraints. 64-75 - Robin Schaefer, René Knaebel, Manfred Stede:
Towards Fine-Grained Argumentation Strategy Analysis in Persuasive Essays. 76-88 - Andrés Segura-Tinoco, Iván Cantador:
Dimensionality Reduction for Machine Learning-based Argument Mining. 89-99 - Zlata Kikteva, Alexander Trautsch, Patrick Katzer, Mirko Oest, Steffen Herbold, Annette Hautli-Janisz:
On the Impact of Reconstruction and Context for Argument Prediction in Natural Debate. 100-106 - Philipp Heinisch, Dimitry Mindlin, Philipp Cimiano:
Unsupervised argument reframing with a counterfactual-based approach. 107-119 - Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. 120-132 - Melika Nobakhtian, Ghazal Zamaninejad, Erfan Moosavi Monazzah, Sauleh Eetemadi:
IUST at ImageArg: The First Shared Task in Multimodal Argument Mining. 133-138 - Qing Zong, Zhaowei Wang, Baixuan Xu, Tianshi Zheng, Haochen Shi, Weiqi Wang, Yangqiu Song, Ginny Y. Wong, Simon See:
TILFA: A Unified Framework for Text, Image, and Layout Fusion in Argument Mining. 139-147 - Mohammad Soltani, Julia Romberg:
A General Framework for Multimodal Argument Persuasiveness Classification of Tweets. 148-156 - Islam Torky, Simon Ruth, Shashi Sharma, Mohamed Salama, Krishna Chaitanya, Tim Gollub, Johannes Kiesel, Benno Stein:
Webis @ ImageArg 2023: Embedding-based Stance and Persuasiveness Classification. 157-161 - Mohammad Shokri, Sarah Ita Levitan:
GC-Hunter at ImageArg Shared Task: Multi-Modal Stance and Persuasiveness Learning. 162-166 - Arushi Sharma, Abhibha Gupta, Maneesh Bilalpur:
Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning. 167-174 - Jing Zhang, Shaojun Yu, Xuan Li, Jia Geng, Zhiyuan Zheng, Joyce C. Ho:
SPLIT: Stance and Persuasion Prediction with Multi-modal on Image and Textual Information. 175-180 - Kanagasabai Rajaraman, Hariram Veeramani, Saravanan Rajamanickam, Adam Maciej Westerski, Jung-Jae Kim:
Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification. 181-186 - Nils Dycke, Ilia Kuznetsov, Iryna Gurevych:
Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews. 187-196 - Yuning Ding, Marie Bexte, Andrea Horbach:
CATALPA_EduNLP at PragTag-2023. 197-201 - Zhipeng Luo, Jiahui Wang, Yihao Guo:
DeepBlueAI at PragTag-2023: Ensemble-based Text Classification Approaches under Limited Data Resources. 202-206 - Yoonsang Lee, Dongryeol Lee, Kyomin Jung:
MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty. 207-211 - Sujatha Das Gollapalli, Yixin Huang, See-Kiong Ng:
NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data. 212-217 - Kunal Suri, Prakhar Mishra, Albert Nanda:
SuryaKiran at PragTag 2023 - Benchmarking Domain Adaptation using Masked Language Modeling in Natural Language Processing For Specialized Data. 218-222
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-12 20:47 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
