Accepted Long Papers
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
Coarse-to-Fine Attention Models for Document Summarization
Jeffrey Ling and Alexander Rush
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
Antoine Tixier, Polykarpos Meladianos and Michalis Vazirgiannis
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
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset
Piji Li, Lidong Bing and Wai Lam
Accepted Short Papers
Low-Resource Neural Headline Generation
Ottokar Tilk and Tanel Alumae
Towards Improving Abstractive Summarization via Entailment Generation
Ramakanth Pasunuru, Han Guo and Mohit Bansal
Automatic Community Creation for Abstractive Spoken Conversations Summarization
Karan Singla, Evgeny Stepanov, Ali Orkan Bayer, Giuseppe Carenini and Giuseppe Riccardi
TL;DR: Mining Reddit to Learn Automatic Summarization
Michael Völske, Martin Potthast, Shahbaz Syed and Benno Stein
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization
Demian Gholipour Ghalandari
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization
Xinyu Hua and Lu Wang