📰 Workshop on New Frontiers in Summarization 2017 — accepted papers

Workshop on New Frontiers in Summarization 2017 is the 2017 edition of the Workshop on New Frontiers in Summarization, held in Copenhagen, Denmark, September 2017 (publisher: Association for Computational Linguistics). OpenAlex lists 13 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Copenhagen, Denmark · 🗓 September 2017

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. TL;DR: Mining Reddit to Learn Automatic SummarizationMichael Völske, Martin Potthast, Shahbaz Syed et al.93 citations · our summary
2. Learning to Score System Summaries for Better Content Selection Evaluation. ↗Maxime Peyrard, Teresa Botschen, Iryna Gurevych75 citations
3. Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization ↗Antoine Tixier, Polykarpos Meladianos, Michalis Vazirgiannis36 citations
4. Towards Improving Abstractive Summarization via Entailment Generation ↗Ramakanth Pasunuru, Han Guo, Mohit Bansal33 citations
5. Coarse-to-Fine Attention Models for Document Summarization ↗Jeffrey Ling, Alexander Rush32 citations
6. Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization ↗Demian Gholipour Ghalandari31 citations
7. A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization ↗Xinyu Hua, Lu Wang25 citations
8. Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset ↗Piji Li, Lidong Bing, Wai Lam19 citations
9. Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowdsourced Time-Sync Comments ↗Qing Ping, Chaomei Chen17 citations
10. Low-Resource Neural Headline Generation ↗Ottokar Tilk, Tanel Alumäe12 citations

All accepted papers (13)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. TL;DR: Mining Reddit to Learn Automatic SummarizationMichael Völske, Martin Potthast, Shahbaz Syed et al.93 citations · our summary
2. Learning to Score System Summaries for Better Content Selection Evaluation. ↗Maxime Peyrard, Teresa Botschen, Iryna Gurevych75 citations
3. Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization ↗Antoine Tixier, Polykarpos Meladianos, Michalis Vazirgiannis36 citations
4. Towards Improving Abstractive Summarization via Entailment Generation ↗Ramakanth Pasunuru, Han Guo, Mohit Bansal33 citations
5. Coarse-to-Fine Attention Models for Document Summarization ↗Jeffrey Ling, Alexander Rush32 citations
6. Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization ↗Demian Gholipour Ghalandari31 citations
7. A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization ↗Xinyu Hua, Lu Wang25 citations
8. Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset ↗Piji Li, Lidong Bing, Wai Lam19 citations
9. Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowdsourced Time-Sync Comments ↗Qing Ping, Chaomei Chen17 citations
10. Low-Resource Neural Headline Generation ↗Ottokar Tilk, Tanel Alumäe12 citations
11. Automatic Community Creation for Abstractive Spoken Conversations Summarization ↗Karan Singla, Evgeny Stepanov, Ali Orkan Bayer et al.10 citations
12. Topic Model Stability for Hierarchical Summarization ↗John Miller, Kathleen McCoy7 citations
13. Multimedia Summary Generation from Online Conversations: Current Approaches and Future Directions ↗Enamul Hoque, Giuseppe Carenini

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. TL;DR: Mining Reddit to Learn Automatic SummarizationWorkshop on New Frontiers in SummarizationMichael Völske, Martin Potthast, Shahbaz Syed, et al.2017 · 204 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

📝Summarization (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Bauhaus-Universität WeimarWeimar · Germany1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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