Advanced General NLP Topics I (AY 2019/2020, Semester II (1920))

AY 2019/2020, Semester II (1920)

Our reading group was conducted as a group seminar, with class participants nominating themselves and presenting the materials and leading the discussion. In Sem II of AY2019/2020, we focused on the topics of Advanced General NLP Topics I.

Date	Description
NUS Week 13 17 Apr	~~Entity Linking~~ - Canceled
NUS Week 12 10 Apr	Dialogue and Discourse Lecturer and Support staff: Shi Tian, Low Siow Meng, Samson Tan, Dogukan Yigit Polat, Jiaqi Li
NUS Week 11 3 Apr	Neural Machine Translation Lecturer and Support staff: Sashankh Kumar, Ang Shen Ting, Taha Aksu, Abhinav Kashyap, Saravanan Rajamanickam
NUS Week 10 27 Mar	Machine Reading Comprehension Lecturer and Support staff: Samson Tan, Pan Liangming, Taha Aksu, Van Hoang Nguyen [ Lecture Slides Part 1 ] [ Lecture Slides Part 2 ] [ Notes ] References: Mohit Bansal "Interpretability and Robustness for Multi-Hop QA ". MRQA-EMNLP 2019 Workshop. Chen, et al. "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension". Sixth International Conference on Learning Representations (2018).
NUS Week 9 20 Mar	Named Entity Recognition/ Information Extraction Lecturer and Support staff: Calvin Tantio, Yap Jia Qing, Abhinav Kashyap, Low Siow Meng, Miao Yisong
NUS Week 8 13 Mar	Text Summarization Lecturer and Support staff: Taha Aksu, Yigit Polat, Calvin Tantio, Shen Ting Ang [ Lecture Slides ] [ Notes ] References: See, et al. "Get To The Point: Summarization with Pointer-Generator Networks". 55th Annual Meeting of the Association for Computational Linguistics. (2017). Chen, et al. "Knowledge-aware Multimodal Dialogue Systems". 56th Annual Meeting of the Association for Computational Linguistics (2018).
NUS Week 7 6 Mar	Semantic Analysis
NUS Week Recess 28 Feb	Recommendation Systems Lecturer and Support staff: Takanori Aoki, Hengchang Hu, Mun Kar Kin, Shelvia Wongso, Sashankh Chengavalli Kumar [ Lecture Slides ] [ Notes ] References: Mnih, A., & Salakhutdinov, R. R. "Probabilistic Matrix Factorization". Neural Information Processing Systems. (2017). He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T. S. "Neural Collaborative Filtering". In Proceedings of the 26th international conference on world wide web (pp. 173-182). Wang, X., He, X., Wang, M., Feng, F., & Chua, T. S. "Neural Graph Collaborative Filtering". In Proceedings of the 42nd international ACM SIGIR conference on Research and development in Information Retrieval (pp. 165-174).
NUS Week 6 21 Feb	Multimodal Models Lecturer and Support staff: Guilherme Zagatti, Liangming Pan, Yisong Miao, Ng Kheng Yi, Shi Tian [ Lecture Slides ] [ Notes ] References: Jenkins, Porter, et al. "Unsupervised Representation Learning of Spatial Data via Multimodal Embedding". Int'l Conf. on Information and Knowledge Management. (2019). Liao, Lizi, et al. "Knowledge-aware Multimodal Dialogue Systems". Int'l Conf. on Multimedia (2018). Yang, Xun, et al. "Interpretable fashion matching with rich attributes". SIGIR Conference on Research and Development in Information Retrieval. (2019).
NUS Week 5 14 Feb	Graph Based Models Lecturer and Support staff: Christopher Hendra, Mun Kar Kin, Nguyen Van Hoang, Hu Hengchang, Guilherme Zagatti [ Lecture Slides ] [ Notes ] References: Bronstein, Michael, et al. "Geometric deep learning: going beyond Euclidean data". Neural Information Processing Systems. (2017). [ video ] Thomas N. Kipf and Max Welling "Semi-Supervised Classification with Graph Convolutional Networks". Int'l Conf. on Learning Representations (2017).
NUS Week 4 7 Feb	Transfer Learning, Transformers and BERT Lecturer and Support staff: Abhinav Kashyap, Cara Leong, Samson Tan and Vu Duc Nam [ Lecture Slides ] [ Notes ] References: Vaswani, Ashish, et al. "Attention is all you need". Advances in neural information processing systems. (2017). Devlin, Jacob, et al. "Bert: Pre-training of deep bidirectional transformers for language understanding". arXiv preprint arXiv:1810.04805 (2018).
NUS Week 3 31 Jan	Canceled due to logistic constraints imposed by nCov-1 ~~Embeddings / Pretraining~~