Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Tutorial Abstracts
Efficient and Robust Knowledge Graph Construction (2022.aacl-tutorials)
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| Challenge: | Knowledge graph construction has appealed to the NLP community but has encountered similar issues such as efficiency and robustness. |
| Approach: | They propose to introduce efficient and robust knowledge graph construction techniques and discuss their results. |
| Outcome: | This tutorial will provide an overview of the latest and ongoing techniques for efficient and robust knowledge graph construction. |
Recent Advances in Pre-trained Language Models: Why Do They Work and How Do They Work (2022.aacl-tutorials)
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| Challenge: | Pre-trained language models are language models that are pre-taught on large-scaled corpora in a self-supervised fashion. |
| Approach: | This tutorial provides a broad and comprehensive introduction to pre-trained language models . it focuses on emerging methods that enable PLMs to perform diverse downstream tasks . |
| Outcome: | This tutorial focuses on the benefits of pre-trained language models and how to use them in NLP tasks. |
When Cantonese NLP Meets Pre-training: Progress and Challenges (2022.aacl-tutorials)
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| Challenge: | Cantonese is an influential Chinese variant with a large population of speakers worldwide. |
| Approach: | This tutorial will review Cantonese's progress in linguistics and NLP . it will introduce transformer-based pre-training methods for a wide range of downstream tasks . |
| Outcome: | This tutorial will present the main challenges for Cantonese NLP in relation to Cantonesian language idiosyncrasies of colloquialism and multilingualism. |
Grounding Meaning Representation for Situated Reasoning (2022.aacl-tutorials)
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| Challenge: | a tutorial aims to build agents that understand language using a simulated environment . situated reasoning is a critical aspect of human language understanding . |
| Approach: | This tutorial combines a synthesis of multimodal grounding and meaning representation techniques with formal and computational models of situated reasoning. |
| Outcome: | This tutorial combines multimodal grounding and meaning representation techniques with formal and computational models of embodied reasoning. |
The Battlefront of Combating Misinformation and Coping with Media Bias (2022.aacl-tutorials)
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| Challenge: | a growing number of misinformation and misinformation is affecting our daily lives . a tutorial aims to address the challenges of detecting fake news and media bias . |
| Approach: | They provide an overview of the frontier in fighting misinformation . they propose to develop a robust fake news detection system to combat misinformation. |
| Outcome: | This tutorial examines the frontiers of fake news detection and media bias detection . it focuses on how to fact-check information pieces and uncover bias and agenda of news sources . |
A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing (2022.aacl-tutorials)
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| Challenge: | a recent advent of pretrained language models has sparked a revolution in NLP . but, there are still questions about whether current approaches capture explicit, symbolic meaning . this tutorial will review efforts to tackle three key open problems in lexical and sentence-level semantics . |
| Approach: | This tutorial reviews recent efforts to shed light on meaning in NLP . it will focus on three key open problems in lexical and sentence-level semantics . |
| Outcome: | This tutorial reviews recent efforts to shed light on meaning in NLP . it focuses on three key open problems in lexical and sentence-level semantics . |