Final Call for Papers for workshop on “New Frontiers in Summarization” at EMNLP 2017

Event Notification Type: 
Call for Papers
Abbreviated Title: 
EMNLP 2017
Thursday, 7 September 2017
Lu Wang
Giuseppe Carenini
Jackie Chi Kit Cheung
Fei Liu
Submission Deadline: 
Friday, 2 June 2017

The New Frontiers in Summarization workshop at EMNLP 2017 aims to bring the community together to discuss current challenges and emerging directions of summarization, and how relevant areas, such as language generation or visualization, can form synergies with this field.

Researchers have strived to build automatic summarization systems in the past fifty years, starting from the seminal work of Luhn (1958) on automatic text summarization. Existing research includes the development of extractive and abstractive summarization technologies, evaluation metrics (e.g., ROUGE and Pyramid), as well as the construction of benchmark datasets and resources (e.g., annual competitions such as DUC (2001-2007), TAC (2008-2011), and TREC (2014-2016 on Microblog/Temporal Summarization)).

While much has been accomplished, there is more yet to do. New advances in natural language processing (e.g., deep neural networks) have resulted in state-of-the-art performance according to existing standards of summarization evaluation, by effectively exploiting large-scale datasets and superior computing power. This progress now needs to be complemented in at least two ways. On the one hand, the summarization of large amount of multimodal data (text + others) needs more sophisticated abstraction capabilities, better integration of abstraction and extraction, more flexible language generation, as well as the ability to combine language with information visualization. On the other hand, to assess the quality of such system summaries, more comprehensive evaluation metrics are needed which correlate more tightly with human judges or extrinsic task-based performance. Both of these pillars will be crucial for realistic, ecologically valid deployment of summarization research.

== Topics
- Abstractive and extractive summarization
- Language generation
- Multiple text genres (News, tweets, product reviews, meeting conversations, forums, lectures, student feedback, emails, medical records, books, research articles, etc)
- Multimodal Input: Information integration and aggregation across multiple modalities (text, speech, image, video)
- Multimodal Output: Summarization and visualization + interactive exploration
- Tailoring summaries to user queries or interests
- Semantic aspects of summarization (e.g. semantic representation, inference, validity)
- Development of new algorithms
- Development of new datasets and annotations
- Development of new evaluation metrics
- Cognitive or psycholinguistic aspects of summarization and visualization (e.g. perceived readability, usability, etc)

== Submissions
Both long paper (eight (8) pages with two-page reference) and short paper (four (4) pages with two-page reference) are welcomed for submission!

Please submit your work at the following URL:

== Invited Speakers
Katja Filippova (Google Research, Switzerland)
Andreas Kerren (Linnaeus University, Sweden)
Ani Nenkova (University of Pennsylvania, USA)

== Important Dates
Submissions Deadline: Friday, June 2
Acceptance Notification: Friday, June 30
Camera-Ready Due: Friday, July 14
Workshop Date: Thursday, September 7

== Organizers
Lu Wang (Northeastern University)
Giuseppe Carenini (University of British Columbia)
Jackie Chi Kit Cheung (McGill University)
Fei Liu (University of Central Florida)

== Program Committee
Enrique Alfonseca (Google Research)
Asli Celikyilmaz (Microsoft Research)
Jianpeng Cheng (University of Edinburgh)
Greg Durrett (The University of Texas at Austin)
Michael Elhadad (Ben‑Gurion University of the Negev)
Benoit Favre (Aix-Marseille University)
Katja Filippova (Google Research)
Wei Gao (Qatar Computing Research Institute)
Shafiq Joty (Qatar Computing Research Institute)
Mijail Kabadjov (University of Essex)
Mirella Lapata (University of Edinburgh)
Junyi Jessy Li (University of Pennsylvania)
Yang Liu (The University of Texas at Dallas)
Annie Louis (University of Essex)
Daniel Marcu (University of Southern California)
Yashar Mehdad (Airbnb)
Gabriel Murray (University of the Fraser Valley)
Ramesh Nallapati (IBM Research)
Jun-Ping Ng (Amazon)
Rebecca Passonneau (Penn State University)
Gerald Penn (University of Toronto)
Hiroya Takamura (Tokyo Institute of Technology)
Simone Teufel (University of Cambridge)
Kapil Thadani (Yahoo Inc.)

== Website