These course projects are done individually by students. The selection of projects are quite open, however they should be relevant to NLP and neural networks. The final reports are in ACL long paper format.
| Project Title | Name | Survey | Report |
|---|---|---|---|
| Unbiased Hate Speech Detection: Bringing the Bias back to the Table |
Aida Mostafazadeh Davani | ||
| TriggerNER: Label-Efficient Learning for Named Entity Recognition via Annotating Entity Triggers |
Dong-Ho Lee | ||
| Exploration on Multi-relational Graph Generation Report |
Jiao Sun | ||
| Relational Graph Reasoning for Knowledge-Augmented Question Answering |
Jun Yan | ||
| Dialogue System for Automatic Cognitive Task Analysis |
Junyi Du | ||
| Screenplay Quality Assessment: Can We Predict Who Wins the Award? |
Ming-Chang Chiu | ||
| Hyperbolic Embeddings for Taxonomy and Facet Extraction |
Nathan Bartley | ||
| Capturing Bias in the Liberal and Conservative News Sources |
Negar Mokhberain | ||
| Can Language Models Learn Commonsense Truisms? |
Pei Zhou | ||
| Reasoning Paths Generation for Commonsense Question Answering |
Peifeng Wang | ||
| Augmenting Question Answering with Natural Language Explanations |
Qinyuan Ye | ||
| Efficient Task Adaptation with Normalization |
Wenxuan Zhou | ||
| Final Report on Multi-hop Reading Comprehension |
Woojeong Jin | ||
| Visually Grounded Concept Learning from Streaming Data |
Xisen Jin | ||
| Collective Entity Linking Models via Graph Neural Network |
Yizhou Zhang | ||
| COMMONGEN: Towards Generative Commonsense Reasoning via A Constrained Text Generation Challenge |
Yuchen Lin | ||