Past tutorials - Revision history

Yukiar: /* 2020 tutorials */

2024-07-25T04:57:58Z

2020 tutorials

← Older revision		Revision as of 04:57, 25 July 2024
Line 659:		Line 659:
	\|[https://coling2020.org/pages/tutorials]		\|[https://coling2020.org/pages/tutorials]
	\|		\|
	\|[https://aclanthology.org/2020.coling-tutorials.5/]		\|[https://aclanthology.org/2020.coling-tutorials.6/]
	\|-		\|-
	\|Endangered Languages meet Modern NLP		\|Endangered Languages meet Modern NLP
Line 666:		Line 666:
	\|[https://coling2020.org/pages/tutorials]		\|[https://coling2020.org/pages/tutorials]
	\|		\|
	\|[https://aclanthology.org/2020.coling-tutorials.6/]		\|[https://aclanthology.org/2020.coling-tutorials.7/]
	\|-		\|-
	\|}		\|}

Yukiar at 04:40, 25 July 2024

2024-07-25T04:40:16Z

← Older revision		Revision as of 04:40, 25 July 2024
Line 1:		Line 1:
	This page belongs to the [[tutorial chair handbook]]. It summarizes data on tutorials which took place at some recent ACL, AACL, EACL, NAACL, EMNLP and COLING conferences.		This page belongs to the [[tutorial chair handbook]]. It summarizes data on tutorials which took place at some recent ACL, AACL, EACL, NAACL, EMNLP and COLING conferences.

			==2024 tutorials==

			{\| border="1" cellspacing="0" cellpadding="5"
			\|'''Title'''
			\|'''Trainers'''
			\|'''ACL Anthology link'''
			\|-
			!colspan="3"\|NAACL 2024 [https://2024.naacl.org/program/tutorials/]
			\|-
			\|Catch Me If You GPT: Tutorial on Deepfake Texts
			\|Adaku Uchendu, Saranya Venkatraman, Thai Le, Dongwon Lee
			\|[https://aclanthology.org/2024.naacl-tutorials.1/]
			\|-
			\|Combating Security and Privacy Issues in the Era of Large Language Models
			\|Muhao Chen, Chaowei Xiao, Huan Sun, Lei Li, Leon Derczynski, Anima Anandkumar, Fei Wang
			\|[https://aclanthology.org/2024.naacl-tutorials.2/]
			\|-
			\|Explanation in the Era of Large Language Models
			\|Zining Zhu, Hanjie Chen, Xi Ye, Qing Lyu, Chenhao Tan, Ana Marasovic, Sarah Wiegreffe
			\|[https://aclanthology.org/2024.naacl-tutorials.3/]
			\|-
			\|From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP
			\|Adithya V Ganesan, Siddharth Mangalik, Vasudha Varadarajan, Nikita Soni, Swanie Juhng, João Sedoc, H. Andrew Schwartz, Salvatore Giorgi, Ryan L Boyd
			\|[https://aclanthology.org/2024.naacl-tutorials.4/]
			\|-
			\|Human-AI Interaction in the Age of LLMs
			\|Diyi Yang, Sherry Tongshuang Wu, Marti A. Hearst
			\|[https://aclanthology.org/2024.naacl-tutorials.5/]
			\|-
			\|Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding
			\|Parisa Kordjamshidi, Qiang Ning, James Pustejovsky, Marie-Francine Moens
			\|[https://aclanthology.org/2024.naacl-tutorials.6/]
			\|-
			!colspan="3"\|COLING 2024 [https://lrec-coling-2024.org/tutorials/]
			\|-
			\|Meaning Representations for Natural Languages: Design, Models and Applications
			\|Julia Bonn, Jeffrey Flanigan, Jan Hajič, Ishan Jindal, Yunyao Li and Nianwen Xue
			\|
			\|-
			\|Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs)
			\|Leshem Choshen, Ariel Gera, Yotam Perlitz, Michal Shmueli-Scheuer and Gabriel Stanovsky
			\|
			\|-
			\|The DBpedia Databus Tutorial: Increase the Visibility and Usability of Your Data
			\|Milan Dojchinovski
			\|
			\|-
			\|NLP for Chemistry — Introduction and Recent Advances
			\|Camilo Thorne and Saber Akhondi
			\|
			\|-
			\|Formal Semantic Controls over Language Models
			\|Danilo Silva de Carvalho, yingji zhang and André Freitas
			\|
			\|-
			\|Towards a Human-Computer Collaborative Scientific Paper Lifecycle: A Pilot Study and Hands-On Tutorial
			\|Qingyun Wang, Carl Edwards, Heng Ji and Tom Hope
			\|
			\|-
			\|From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and Beyond
			\|Hao Fei, Yuan Yao, Zhuosheng Zhang, Fuxiao Liu, Ao Zhang and Tat-Seng Chua
			\|
			\|-
			\|Knowledge Editing for Large Language Models
			\|Ningyu Zhang, Yunzhi Yao and Shumin Deng
			\|
			\|-
			\|Geo-Cultural Representation and Inclusion in Language Technologies
			\|Sunipa Dev and Rida Qadri
			\|
			\|-
			\|Mining, Assessing, and Improving Arguments in NLP and the Social Sciences
			\|Gabriella Lapesa, Eva Maria Vecchi, Serena Villata and Henning Wachsmuth
			\|
			\|-
			\|Hallucination in Large Language Models
			\|Vipula Rawte, Aman Chadha, Amit Sheth and Amitava Das
			\|
			\|-
			\|Addressing Bias and Hallucination in Large Language Models
			\|Nihar Sahoo, Ashita Saxena, Kishan Maharaj, Arif Ahmad, Abhijit Mishra and Pushpak Bhattacharyya
			\|
			\|-
			\|Knowledge-enhanced Response Generation in Dialogue Systems: Current Advancements and Emerging Horizons
			\|Priyanshu Priya, Deeksha Varshney, Mauajama Firdaus and Asif Ekbal
			\|
			\|-
			\|}
	==2023 tutorials==		==2023 tutorials==

Yukiar: /* 2022 tutorials */ add coling

2024-07-25T04:29:36Z

2022 tutorials: add coling

@@ Line 232: / Line 232: @@
 |Yang Feng, Chenze Shao
 |[https://aclanthology.org/2022.emnlp-tutorials.6/]
 |-
 |}

Yukiar: /* 2023 tutorials */

2024-07-25T04:24:54Z

2023 tutorials

@@ Line 8: / Line 8: @@
 |'''ACL Anthology link'''
 |-
-!colspan="3"|ACL 2023 [https://2021.aclweb.org/tutorials/program/]
+!colspan="3"|ACL 2023 [https://2023.aclweb.org/program/tutorials/]
 |-
 |}

Yukiar at 04:12, 25 July 2024

2024-07-25T04:12:38Z

← Older revision		Revision as of 04:12, 25 July 2024
Line 1:		Line 1:
	This page belongs to the [[tutorial chair handbook]]. It summarizes data on tutorials which took place at some recent ACL, AACL, EACL, NAACL, EMNLP and COLING conferences.		This page belongs to the [[tutorial chair handbook]]. It summarizes data on tutorials which took place at some recent ACL, AACL, EACL, NAACL, EMNLP and COLING conferences.

			==2023 tutorials==

			{\| border="1" cellspacing="0" cellpadding="5"
			\|'''Title'''
			\|'''Trainers'''
			\|'''ACL Anthology link'''
			\|-
			!colspan="3"\|ACL 2023 [https://2021.aclweb.org/tutorials/program/]
			\|-
			\|}

			==2022 tutorials==

			{\| border="1" cellspacing="0" cellpadding="5"
			\|'''Title'''
			\|'''Trainers'''
			\|'''ACL Anthology link'''
			\|-
			!colspan="3"\|ACL 2022 [https://www.2022.aclweb.org/tutorials]
			\|-
			\|A Gentle Introduction to Deep Nets and Opportunities for the Future
			\|Kenneth Church, Valia Kordoni, Gary Marcus, Ernest Davis, Yanjun Ma, Zeyu Chen
			\|[https://aclanthology.org/2022.acl-tutorials.1/]
			\|-
			\|Towards Reproducible Machine Learning Research in Natural Language Processing
			\|Ana Lucic, Maurits Bleeker, Samarth Bhargav, Jessica Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic
			\|[https://aclanthology.org/2022.acl-tutorials.2/]
			\|-
			\|Knowledge-Augmented Methods for Natural Language Processing
			\|Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
			\|[https://aclanthology.org/2022.acl-tutorials.3/]
			\|-
			\|Non-Autoregressive Sequence Generation
			\|Jiatao Gu, Xu Tan
			\|[https://aclanthology.org/2022.acl-tutorials.4/]
			\|-
			\|Learning with Limited Text Data
			\|Diyi Yang, Ankur Parikh, Colin Raffel
			\|[https://aclanthology.org/2022.acl-tutorials.5/]
			\|-
			\|Zero- and Few-Shot NLP with Pretrained Language Models
			\|Iz Beltagy, Arman Cohan, Robert Logan IV, Sewon Min, Sameer Singh
			\|[https://aclanthology.org/2022.acl-tutorials.6/]
			\|-
			\|Vision-Language Pretraining: Current Trends and the Future
			\|Aishwarya Agrawal, Damien Teney, Aida Nematzadeh
			\|[https://aclanthology.org/2022.acl-tutorials.7/]
			\|-
			\|Natural Language Processing for Multilingual Task-Oriented Dialogue
			\|Evgeniia Razumovskaia, Goran Glavaš, Olga Majewska, Edoardo Ponti, Ivan Vulić
			\|[https://aclanthology.org/2022.acl-tutorials.8/]
			\|-
			!colspan="3"\|AACL 2022
			\|-
			\|Efficient and Robust Knowledge Graph Construction
			\|Ningyu Zhang, Tao Gui, Guoshun Nan
			\|[https://aclanthology.org/2022.aacl-tutorials.1/]
			\|-
			\|Recent Advances in Pre-trained Language Models: Why Do They Work and How Do They Work
			\|Cheng-Han Chiang, Yung-Sung Chuang, Hung-yi Lee
			\|[https://aclanthology.org/2022.aacl-tutorials.2/]
			\|-
			\|When Cantonese NLP Meets Pre-training: Progress and Challenges
			\|Rong Xiang, Hanzhuo Tan, Jing Li, Mingyu Wan, Kam-Fai Wong
			\|[https://aclanthology.org/2022.aacl-tutorials.3/]
			\|-
			\|Grounding Meaning Representation for Situated Reasoning
			\|Nikhil Krishnaswamy, James Pustejovsky
			\|[https://aclanthology.org/2022.aacl-tutorials.4/]
			\|-
			\|The Battlefront of Combating Misinformation and Coping with Media Bias
			\|Yi Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji
			\|[https://aclanthology.org/2022.aacl-tutorials.5/]
			\|-
			\|A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing
			\|Roberto Navigli, Edoardo Barba, Simone Conia, Rexhina Blloshmi
			\|[https://aclanthology.org/2022.aacl-tutorials.6/]
			\|-
			!colspan="3"\|NAACL 2022 [https://2022.naacl.org/program/tutorials/]
			\|-
			\|Text Generation with Text-Editing Models
			\|Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adamek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
			\|[https://aclanthology.org/2022.naacl-tutorials.1/]
			\|-
			\|Self-supervised Representation Learning for Speech Processing
			\|Hung-yi Lee, Abdelrahman Mohamed, Shinji Watanabe, Tara Sainath, Karen Livescu, Shang-Wen Li, Shu-wen Yang, Katrin Kirchhoff
			\|[https://aclanthology.org/2022.naacl-tutorials.2/]
			\|-
			\|New Frontiers of Information Extraction
			\|Muhao Chen, Lifu Huang, Manling Li, Ben Zhou, Heng Ji, Dan Roth
			\|[https://aclanthology.org/2022.naacl-tutorials.3/]
			\|-
			\|Human-Centered Evaluation of Explanations
			\|Jordan Boyd-Graber, Samuel Carton, Shi Feng, Q. Vera Liao, Tania Lombrozo, Alison Smith-Renner, Chenhao Tan
			\|[https://aclanthology.org/2022.naacl-tutorials.4/]
			\|-
			\|Tutorial on Multimodal Machine Learning
			\|Louis-Philippe Morency, Paul Pu Liang, Amir Zadeh
			\|[https://aclanthology.org/2022.naacl-tutorials.5/]
			\|-
			\|Contrastive Data and Learning for Natural Language Processing
			\|Rui Zhang, Yangfeng Ji, Yue Zhang, Rebecca J. Passonneau
			\|[https://aclanthology.org/2022.naacl-tutorials.6/]
			\|-
			!colspan="3"\|EMNLP 2022 [https://2022.emnlp.org/program/tutorials/]
			\|-
			\|Meaning Representations for Natural Languages: Design, Models and Applications
			\|Jeffrey Flanigan, Ishan Jindal, Yunyao Li, Tim O’Gorman, Martha Palmer, Nianwen Xue
			\|[https://aclanthology.org/2022.emnlp-tutorials.1/]
			\|-
			\|Arabic Natural Language Processing
			\|Nizar Habash
			\|[https://aclanthology.org/2022.emnlp-tutorials.2/]
			\|-
			\|Emergent Language-Based Coordination In Deep Multi-Agent Systems
			\|Marco Baroni, Roberto Dessi, Angeliki Lazaridou
			\|[https://aclanthology.org/2022.emnlp-tutorials.3/]
			\|-
			\|CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing
			\|Zhijing Jin, Amir Feder, Kun Zhang
			\|[https://aclanthology.org/2022.emnlp-tutorials.4/]
			\|-
			\|Modular and Parameter-Efficient Fine-Tuning for NLP Models
			\|Sebastian Ruder, Jonas Pfeiffer, Ivan Vulić
			\|[https://aclanthology.org/2022.emnlp-tutorials.5/]
			\|-
			\|Non-Autoregressive Models for Fast Sequence Generation
			\|Yang Feng, Chenze Shao
			\|[https://aclanthology.org/2022.emnlp-tutorials.6/]
			\|-
			\|}

	==2021 tutorials==		==2021 tutorials==

Yukiar: 2021 Tutorials

2024-07-25T03:56:10Z

2021 Tutorials

← Older revision		Revision as of 03:56, 25 July 2024
Line 1:		Line 1:
	This page belongs to the [[tutorial chair handbook]]. It summarizes data on tutorials which took place at some recent ACL, EACL, NAACL, EMNLP and COLING conferences.		This page belongs to the [[tutorial chair handbook]]. It summarizes data on tutorials which took place at some recent ACL, AACL, EACL, NAACL, EMNLP and COLING conferences.

			==2021 tutorials==

			{\| border="1" cellspacing="0" cellpadding="5"
			\|'''Title'''
			\|'''Trainers'''
			\|'''ACL Anthology link'''
			\|-
			!colspan="3"\|ACL 2021 [https://2021.aclweb.org/tutorials/program/]
			\|-
			\|Advances in Debating Technologies: Building AI That Can Debate Humans
			\|Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, Noam Slonim
			\|[https://aclanthology.org/2021.acl-tutorials.1/]
			\|-
			\|Event-Centric Natural Language Processing
			\|Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Kathleen McKeown, Dan Roth
			\|[https://aclanthology.org/2021.acl-tutorials.2/]
			\|-
			\|Meta Learning and Its Applications to Natural Language Processing
			\|Hung-yi Lee, Ngoc Thang Vu, Shang-Wen Li
			\|[https://aclanthology.org/2021.acl-tutorials.3/]
			\|-
			\|Pre-training Methods for Neural Machine Translation
			\|Mingxuan Wang, Lei Li
			\|[https://aclanthology.org/2021.acl-tutorials.4/]
			\|-
			\|Prosody: Models, Methods, and Applications
			\|Nigel Ward, Gina-Anne Levow
			\|[https://aclanthology.org/2021.acl-tutorials.5/]
			\|-
			\|Recognizing Multimodal Entailment
			\|Cesar Ilharco, Afsaneh Shirazi, Arjun Gopalan, Arsha Nagrani, Blaz Bratanic, Chris Bregler, Christina Funk, Felipe Ferreira, Gabriel Barcik, Gabriel Ilharco, Georg Osang, Jannis Bulian, Jared Frank, Lucas Smaira, Qin Cao, Ricardo Marino, Roma Patel, Thomas Leung, Vaiva Imbrasaite
			\|[https://aclanthology.org/2021.acl-tutorials.6/]
			\|-
			!colspan="3"\|EACL 2021 [https://2021.eacl.org/program/tutorials/]
			\|-
			\|Unsupervised Natural Language Parsing (Introductory Tutorial)
			\|Kewei Tu, Yong Jiang, Wenjuan Han, Yanpeng Zhao
			\|[https://aclanthology.org/2021.eacl-tutorials.1/]
			\|-
			\|Aggregating and Learning from Multiple Annotators
			\|Silviu Paun, Edwin Simpson
			\|[https://aclanthology.org/2021.eacl-tutorials.2/]
			\|-
			\|Tutorial: End-to-End Speech Translation
			\|Jan Niehues, Elizabeth Salesky, Marco Turchi, Matteo Negri
			\|[https://aclanthology.org/2021.eacl-tutorials.3/]
			\|-
			\|Reviewing Natural Language Processing Research
			\|Kevin Cohen, Karën Fort, Margot Mieskes, Aurélie Névéol, Anna Rogers
			\|[https://aclanthology.org/2021.eacl-tutorials.4/]
			\|-
			\|Advances and Challenges in Unsupervised Neural Machine Translation
			\|Rui Wang, Hai Zhao
			\|[https://aclanthology.org/2021.eacl-tutorials.5/]
			\|-
			!colspan="3"\|NAACL 2021 [https://2021.naacl.org/program/tutorials/]
			\|-
			\|Pretrained Transformers for Text Ranking: BERT and Beyond
			\|Andrew Yates, Rodrigo Nogueira, Jimmy Lin
			\|[https://aclanthology.org/2021.naacl-tutorials.1/]
			\|-
			\|Fine-grained Interpretation and Causation Analysis in Deep NLP Models
			\|Hassan Sajjad, Narine Kokhlikyan, Fahim Dalvi, Nadir Durrani
			\|[https://aclanthology.org/2021.naacl-tutorials.2/]
			\|-
			\|Deep Learning on Graphs for Natural Language Processing
			\|Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li
			\|[https://aclanthology.org/2021.naacl-tutorials.3/]
			\|-
			\|A Tutorial on Evaluation Metrics used in Natural Language Generation
			\|Mitesh M. Khapra, Ananya B. Sai
			\|[https://aclanthology.org/2021.naacl-tutorials.4/]
			\|-
			\|Beyond Paragraphs: NLP for Long Sequences
			\|Iz Beltagy, Arman Cohan, Hannaneh Hajishirzi, Sewon Min, Matthew E. Peters
			\|[https://aclanthology.org/2021.naacl-tutorials.5/]
			\|-
			\|Crowdsourcing Natural Language Data at Scale: A Hands-On Tutorial
			\|Alexey Drutsa, Dmitry Ustalov, Valentina Fedorova, Olga Megorskaya, Daria Baidakova
			\|[https://aclanthology.org/2021.naacl-tutorials.6/]
			\|-
			!colspan="3"\|EMNLPL 2021 [https://2021.emnlp.org/tutorials]
			\|-
			\|Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection
			\|Alane Suhr, Clara Vania, Nikita Nangia, Maarten Sap, Mark Yatskar, Samuel R. Bowman, Yoav Artzi
			\|[https://aclanthology.org/2021.emnlp-tutorials.1/]
			\|-
			\|Financial Opinion Mining
			\|Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
			\|[https://aclanthology.org/2021.emnlp-tutorials.2/]
			\|-
			\|Knowledge-Enriched Natural Language Generation
			\|Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, Nazneen Rajani
			\|[https://aclanthology.org/2021.emnlp-tutorials.3/]
			\|-
			\|Multi-Domain Multilingual Question Answering
			\|Sebastian Ruder, Avi Sil
			\|[https://aclanthology.org/2021.emnlp-tutorials.4/]
			\|-
			\|Robustness and Adversarial Examples in Natural Language Processing
			\|Kai-Wei Chang, He He, Robin Jia, Sameer Singh
			\|[https://aclanthology.org/2021.emnlp-tutorials.5/]
			\|-
			\|Syntax in End-to-End Natural Language Processing
			\|Hai Zhao, Rui Wang, Kehai Chen
			\|[https://aclanthology.org/2021.emnlp-tutorials.6/]
			\|-
			\|}

	==2020 tutorials==		==2020 tutorials==

Yukiar: /* 2020 tutorials */

2024-07-25T03:30:55Z

2020 tutorials

Show changes

AgataSavary: /* 2016 tutorials */

2020-12-31T09:30:37Z

2016 tutorials

← Older revision		Revision as of 09:30, 31 December 2020
Line 438:		Line 438:
	\|ACL 2016		\|ACL 2016
	\|[http://mirror.aclweb.org/acl2016/index4d04.html?article_id=59]		\|[http://mirror.aclweb.org/acl2016/index4d04.html?article_id=59]
	\|		\|[https://www.aclweb.org/anthology/P16-5001/]
	\|-		\|-
	\|NLP Approaches to Computational Argumentation		\|NLP Approaches to Computational Argumentation

AgataSavary at 09:02, 8 December 2020

2020-12-08T09:02:12Z

← Older revision		Revision as of 09:02, 8 December 2020
Line 68:		Line 68:
	\|-		\|-
	\|TO BE COMPLETED for AACL, EMNLP and COLING 2020		\|TO BE COMPLETED for AACL, EMNLP and COLING 2020
			\|
	\|		\|
	\|		\|

AgataSavary at 09:01, 8 December 2020

2020-12-08T09:01:38Z

← Older revision		Revision as of 09:01, 8 December 2020
Line 68:		Line 68:
	\|-		\|-
	\|TO BE COMPLETED for AACL, EMNLP and COLING 2020		\|TO BE COMPLETED for AACL, EMNLP and COLING 2020
			\|
	\|		\|
	\|		\|