Workshop Schedule
Date: November 4, 2019
Location: SkyCity Meeting Room 1
Note: For presentation format, each long talk is 12 minutes plus 2 minutes QA, and each short talk is 10 minutes plus 2 minutes QA.
| Time | Content |
|---|---|
| 08:50 – 10:40 | Morning Session 1 |
| 08:50 – 09:00 | Opening Remarks |
| 09:00 - 09:50 | Invited Talk: Nanyun Peng (USC ISI) Title: Creative Generation as Inverse Summarization |
| 09:50 - 10:04 | Summary Level Training of Sentence Rewriting for Abstractive Summarization Sanghwan Bae, Taeuk Kim, Jihoon Kim, Sang-goo Lee |
| 10:04 - 10:18 | Abstractive Timeline Summarization Julius Steen and Katja Markert |
| 10:18 - 10:32 | Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization Diego Antognini and Boi Faltings |
| 10:32 - 10:46 | Answering Naturally : Factoid to Full length Answer Generation Vaishali Pal, Manish Shrivastava, Irshad Bhat |
| 10:46 - 11:00 | Break |
| 11:00 – 12:30 | Morning Session 2 |
| 11:00 - 11:50 | Invited Talk: Ido Dagan (Bar-Ilan University) Title: Comprehending multi-text information: interaction and consolidation |
| 11:50 - 12:02 | Unsupervised Aspect-Based Multi-Document Abstractive Summarization Maximin Coavoux, Hady Elsahar, Matthias Galle |
| 12:02 - 12:14 | BillSum: A Corpus for Automatic Summarization of US Legislation Anastassia Kornilova, Vladimir Eidelman |
| 12:14 - 12:26 | An Editorial Network for Enhanced Document Summarization Edward Moroshko, Guy Feigenblat, Haggai Roitman, David Konopnicki |
| 12:26 - 12:38 | Towards Annotating and Creating Summary Highlights at Sub-sentence Level Kristjan Arumae, Parminder Bhatia, Fei Liu |
| 12:30 – 14:00 | Lunch |
| 14:00 - 15:30 | Afternoon Session 1 |
| 14:00 – 14:50 | Invited Talk: Wenjie Li (The Hong Kong Polytechnic University) Title: Beyond Sequence-to-Sequence Neural Summarization |
| 14:50 - 15:04 | SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization Bogdan Gliwa, Iwona Mochol, Maciej Biesek, Aleksander Wawer |
| 15:04 - 15:18 | A Closer Look at Data Bias in Neural Extractive Summarization Models Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 15:18 - 15:32 | Global Voices: Crossing Borders in Automatic News Summarization Khanh Nguyen and Hal Daumé III |
| 15:32 - 16:00 | Break |
| 16:00 - 17:40 | Afternoon Session 2 |
| 16:00 - 16:50 | Invited Talk: Manabu Okumura (Tokyo Institute of Technology) Title: Studying the past in text summarization |
| 16:50 - 17:02 | Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu |
| 17:02 - 17:14 | Analyzing Sentence Fusion in Abstractive Summarization Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu |
| 17:14 - 17:26 | Summarizing Relationships for Interactive Concept Map Browsers Abram Handler, Premkumar Ganeshkumar, Brendan O’Connor, Mohamed AlTantawy |
| 17:26 - 17:38 | Exploiting Discourse-Level Segmentation for Extractive Summarization Zhengyuan Liu and Nancy Chen |
| 17:38 - 17:45 | Closing Remarks |