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ORCIDNFiS@EMNLP 2017: Copenhagen, Denmark
- Lu Wang, Jackie Chi Kit Cheung, Giuseppe Carenini, Fei Liu:
Proceedings of the Workshop on New Frontiers in Summarization, NFiS@EMNLP 2017, Copenhagen, Denmark, September 7, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-89-0 - Qing Ping, Chaomei Chen:
Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowdsourced Time-Sync Comments. 1-11 - Enamul Hoque, Giuseppe Carenini:
Multimedia Summary Generation from Online Conversations: Current Approaches and Future Directions. 12-19 - Ottokar Tilk, Tanel Alumäe
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Low-Resource Neural Headline Generation. 20-26 - Ramakanth Pasunuru, Han Guo, Mohit Bansal:
Towards Improving Abstractive Summarization via Entailment Generation. 27-32 - Jeffrey Ling, Alexander M. Rush:
Coarse-to-Fine Attention Models for Document Summarization. 33-42 - Karan Singla, Evgeny A. Stepanov, Ali Orkan Bayer, Giuseppe Carenini, Giuseppe Riccardi:
Automatic Community Creation for Abstractive Spoken Conversations Summarization. 43-47 - Antoine J.-P. Tixier, Polykarpos Meladianos, Michalis Vazirgiannis:
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization. 48-58 - Michael Völske, Martin Potthast, Shahbaz Syed, Benno Stein:
TL;DR: Mining Reddit to Learn Automatic Summarization. 59-63 - John Miller, Kathleen F. McCoy:
Topic Model Stability for Hierarchical Summarization. 64-73 - Maxime Peyrard, Teresa Botschen, Iryna Gurevych:
Learning to Score System Summaries for Better Content Selection Evaluation. 74-84 - Demian Gholipour Ghalandari:
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization. 85-90 - Piji Li, Lidong Bing, Wai Lam:
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. 91-99 - Xinyu Hua, Lu Wang:
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization. 100-106
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