Representation
Time: 19:00 pm, Tuesday
Venue: JS104
Welcome to AntNLP Seminar 2020 Spring. :)
On Papers
-
Please choose recent papers (2020, 2019, 2018) from top NLP/AI venues. A (incomplete) list is
- NLP: ACL, TACL, EMNLP, NAACL, EACL, COLING
- ML: ICML, NeurIPS, AISTATS, JMLR, ICLR, ICDE
- AI: AAAI, IJCAI, CVPR
- IR/DM: SIGIR, CIKM, WSDM, KDD, WWW, ICDM
-
While we are interested in a broad range of NLP/AI topics, the followings (and a list here) are of great importance
- syntactic/semantic parsing
- entity/relation/event extraction
- distributed/distributional/compositional semantics
- MT/MRC/QA/Dialog
- knowledge analysis and processing
- (deep) learning algorithms
-
Materials with broad interests are welcome (e.g., tutorials form top conferences, high-quality surveys).
For Presenters
- Please fill your slots in the Agenda at least one week before your presentation.
- Please format Paper fields with [venue+year]title (e.g. [ACL19]A Good Paper).
- Please upload your slides, and add links to them in Slides fields.
- Besides technical novelties, please give enough background knowledge in case people are unfamiliar with your topic.
- It would be great to keep your presentation within 50 min.
For Audiences
- Please read abstract/introduction sections before the seminar.
Agenda
| Week | Date | Name | Paper | Materials |
|---|---|---|---|---|
| 7 | 2020-11-3 | 宋扬 | [AAAI16]Text Matching as Image Recognition | slides |
| 11 | 2020-11-24 | 王兆杰 李潇 孙雪晴 王旭 曹宇轩 | [NeurIPS]Generative Adversarial Networks | slides |
| 11 | 2020-12-01 | 张明瑞 杨义 李志远 孙振省 窦术尧 | [Systems biology]BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction | slides |
| 10 | 2020-11-17 | 赵一宁 张岱君 李开智 郑善超 才鑫蕊 | [NeurIPS]Sequence to Sequence Learning with Neural Networks | [slides] |
Alternative Reading List
If you have no idea on paper selection, you can alternatively choose a paper from the following list for representation.
| Paper | Materials |
|---|---|
| Neural Machine Reading Comprehension: Methods and Trends | |
| Neural Reading Comprehension and Beyond | |
| Attention-over-Attention Neural Networks for Reading Comprehension | |
| FANG: Leveraging Social Context for Fake News Detection Using Graph Representation | |
| Sequence to Sequence Learning with Neural Networks | |
| Generative Adversarial Nets | |
| Attention is All You Need | |
| Language Models are Unsupervised Multitask Learners | |
| A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models | |
| Pre-training of Deep Bidirectional Transformers for Language Understanding | |
| Multi-task Deep Neural Networks for Natural Language Undestandering | |
| Distributed Representations of Words and Phrases and Their Compositionality | |
| Efficient estimation of word representations in vector space | |
| Playing Atari with Deep Reinforcement Learning | |
| Human Level Control through Deep Reinforcement Learning |
F.A.Q.
- How to fill the slots and upload your slides?
- creating-a-pull-request-from-a-fork/
- or you can contact: Longfei Zhang
- any quesitons, please feel free to contact us.