The purpose of this paper presentation component is to help students to practice giving talks in front of public at research conferences or other situations, and prepare for the course projects.
After each lecture, there will be three to ten recommended readings. The presentation will be given in teams. Every team is asked to select one paper from the list, and prepare a 12-minutes presentation for the class, with additional 2 minutes for Q&A. You can also select a paper from the most recent publications in the area of text mining, but need the instructor's approval on the selected paper. One paper can only be presented by one group. Students are required to prepare the slides by themselves (the original authors' slides are not allowed to be used for this presentation). Please send the instructor an email about the title of your chosen paper and preferred presentation date before the presentation sign-up deadline.
It is preferred that the students could present the paper on the day when the topic is covered in the lecture, such that the audiences can get different flavors of the topic. The student presentation will be placed at the end of the class (unless the student requires to present at the beginning of the class).
Giving an impressive presentation is an art. Some helpful tips can be found in the resource page.
Both the instructor and other students will grade the presentation (no self-grading). The detailed grading criteria are described in our course syllabus.
Paper presentation sign up is due in the end of 4th week of the semester. The paper presentation will start on the 6th week.
Please use this page for peer evaluation.
| Name | Date | Paper Title |
| Chuanhao Li, RongRong Liu, Ruizhong Miao, Mengyu Gong | March 19 | Collaborative Knowledge Base Embedding for Recommender Systems |
| Arjun Malhotra, Akanksha Nichrelay | March 21 | Short Text Similarity with Word Embeddings |
| Yichen Jiang, Wen Ding, Shenghao Ye, Xiang Guo | March 26 | Analyzing and Predicting Emoji Usages in Social Media |
| Jinyu Chen, Runnan Yang, Xiaoxi Lin, Jie Yang | March 28 | Matrix Factorization Techniques For Recommender Systems |
| Hao Gu, Jiayang Liu, Xinzuo Wang | March 28 | Recommender systems with social regularization |
| Eamon Collins, Andrea Zhang, Monique Mezher | April 2 | Document Similarity for Texts of Varying Lengths via Hidden Topics |
| Rachel Wicks, Hunter Murphy, Tyler Handley, Sile Shu | April 4 | Unsupervised word sense disambiguation rivaling supervised methods |
| Aobo Yang, Kechen Liu, Zixi Qi, Yingqiao Xiong | April 9 | Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting |
| Runze Yan, Yumeng Jiang, Zheng Chen, Yingying Chen | April 11 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
| Danial Hussain, Jihyeong Lee, Quinn Dawkins, Austin Chen | April 16 | GloVe: Global Vectors for Word Representation |
| Teng Li, Wen Ying | April 16 | Distributed representations of words and phrases and their compositionality |
| Yu Du, Haochuan Zhang | April 18 | Item-Based Collaborative Filtering Recommendation Algorithms |
| Guangxu Xun, Mengdi Huai, Jianhui Sun, Kishlay Jha | April 23 | Dynamic Word Embeddings for Evolving Semantic Discovery |
| Abraham Gebru Tesfay, Anna Baglione | April 25 | Context-aware Academic Collaborator Recommendation |
| Xinyu Yang, Wanyu Du | April 25 | Multi-document summarization by graph search and matching |