Workshop Schedule
The workshop takes place at Enghave Plads & Kødbyen at CPH conference on September 7th.

Note: For presentation format, posters will use A0 landscape, each long talk is 16 minutes plus 4 minutes QA, and each short talk is 12 minutes plus 3 minutes QA.

Time	Content
08:45–10:30	Morning Session 1 (Chair: Jackie Chi Kit Cheung)
08:45–08:50	Opening Remarks
08:50–09:50	Invited Talk by Andreas Kerren (Linnaeus University, Sweden) Title: Visual Text Analytics: Overview, State-of-the-Art, and Challenges
09:50–10:10	Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowdsourced Time-Sync Comments Qing Ping and Chaomei Chen
10:10–10:30	Multimedia Summary Generation from Online Conversations: Current Approaches and Future Directions Enamul Hoque and Giuseppe Carenini
10:30–11:00	Break
11:00–12:30	Morning Session 2 (Chair: Giuseppe Carenini)
11:00–12:00	Invited Talk by Katja Filippova (Google Research, Switzerland) Title: Sentence and Passage Summarization for Question Answering
12:00–12:15	Low-Resource Neural Headline Generation Ottokar Tilk and Tanel Alumae
12:15–12:30	Towards Improving Abstractive Summarization via Entailment Generation Ramakanth Pasunuru, Han Guo and Mohit Bansal
12:30–14:00	Lunch
14:00–17:15	Afternoon Session (Chair: Lu Wang)
14:00–15:30	Poster Session Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowdsourced Time-Sync Comments Qing Ping and Chaomei Chen Multimedia Summary Generation from Online Conversations: Current Approaches and Future Directions Enamul Hoque and Giuseppe Carenini Low-Resource Neural Headline Generation Ottokar Tilk and Tanel Alumae Towards Improving Abstractive Summarization via Entailment Generation Ramakanth Pasunuru, Han Guo and Mohit Bansal Coarse-to-Fine Attention Models for Document Summarization Jeffrey Ling and Alexander Rush Automatic Community Creation for Abstractive Spoken Conversations Summarization Karan Singla, Evgeny Stepanov, Ali Orkan Bayer, Giuseppe Carenini and Giuseppe Riccardi Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization Antoine Tixier, Polykarpos Meladianos and Michalis Vazirgiannis TL;DR: Mining Reddit to Learn Automatic Summarization Michael Volske, Martin Potthast, Shahbaz Syed and Benno Stein Topic Model Stability for Hierarchical Summarization John Miller and Kathleen McCoy Learning to Score System Summaries for Better Content Selection Evaluation Maxime Peyrard, Teresa Botschen and Iryna Gurevych Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization Demian Gholipour Ghalandari Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset Piji Li, Lidong Bing and Wai Lam A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization Xinyu Hua and Lu Wang
15:30–16:30	Invited Talk by Ani Nenkova (University of Pennsylvania, USA) Title: New Frontiers and Paths Well-travelled in Summarization Research
17:10–17:15	Closing Remarks