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Workshop on New Frontiers in Summarization 2019 — accepted papers

Workshop on New Frontiers in Summarization 2019 is the 2019 edition of the Workshop on New Frontiers in Summarization, held in Hong Kong, China, November 2019 (publisher: Association for Computational Linguistics). The ACL Anthology lists 15 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Hong Kong, China · 🗓 November 2019

Most cited papers

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

  1. SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive SummarizationBogdan Gliwa, Iwona Mochol, Maciej Biesek et al.335 citations · our summary
  2. BillSum: A Corpus for Automatic Summarization of US LegislationAnastassia Kornilova, Vladimir Eidelman80 citations · our summary
  3. Summary Level Training of Sentence Rewriting for Abstractive Summarization ↗Sanghwan Bae, Taeuk Kim, Jihoon Kim et al.66 citations
  4. A Closer Look at Data Bias in Neural Extractive Summarization Models ↗Ming Zhong, Danqing Wang, Pengfei Liu et al.44 citations
  5. Analyzing Sentence Fusion in Abstractive Summarization ↗Logan Lebanoff, John Muchovej, Franck Dernoncourt et al.40 citations
  6. Abstractive Timeline Summarization ↗Julius Steen, Katja Markert34 citations
  7. Unsupervised Aspect-Based Multi-Document Abstractive Summarization ↗Maximin Coavoux, Hady Elsahar, Matthias Gallé30 citations

All accepted papers (15)

The most cited first; 2 with our summary link to their page here, the others to the original.

  1. SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive SummarizationBogdan Gliwa, Iwona Mochol, Maciej Biesek et al.335 citations · our summary
  2. BillSum: A Corpus for Automatic Summarization of US LegislationAnastassia Kornilova, Vladimir Eidelman80 citations · our summary
  3. Summary Level Training of Sentence Rewriting for Abstractive Summarization ↗Sanghwan Bae, Taeuk Kim, Jihoon Kim et al.66 citations
  4. A Closer Look at Data Bias in Neural Extractive Summarization Models ↗Ming Zhong, Danqing Wang, Pengfei Liu et al.44 citations
  5. Analyzing Sentence Fusion in Abstractive Summarization ↗Logan Lebanoff, John Muchovej, Franck Dernoncourt et al.40 citations
  6. Abstractive Timeline Summarization ↗Julius Steen, Katja Markert34 citations
  7. Unsupervised Aspect-Based Multi-Document Abstractive Summarization ↗Maximin Coavoux, Hady Elsahar, Matthias Gallé30 citations
  8. An Editorial Network for Enhanced Document Summarization ↗Edward Moroshko, Guy Feigenblat, Haggai Roitman et al.11 citations
  9. Towards Annotating and Creating Summary Highlights at Sub-sentence Level ↗Kristjan Arumae, Parminder Bhatia, Fei Liu7 citations
  10. Answering Naturally: Factoid to Full length Answer Generation ↗Vaishali Pal, Manish Shrivastava, Irshad Bhat6 citations
  11. Summarizing Relationships for Interactive Concept Map Browsers ↗Abram Handler, Premkumar Ganeshkumar, Brendan O'Connor et al.1 citation

 Papers with our summary in our library (2)

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

 Top topics

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

Summarization (2)Dialogue systems (1)Legal AI (1)

 Fields

Arts and Humanities (2)Computer Science (2)Social Sciences (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.

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

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