Introduction
The Fourth Workshop on “New Frontiers in Summarization” aims to promote the cross-fertilization of ideas in automatic summarization and related fields. This includes discussion on novel paradigms, shared tasks of interest, applied research and applications, and possible future research directions. In addition to building a cohesive research community, the workshop will accelerate knowledge diffusion by developing new tools, datasets, and resources that are in line with the summarization needs of academia, industry, and government.
New advances in natural language processing (e.g., pre-trained models and prompt-based learning) have resulted in state-of-the-art performance according to existing standards of summarization evaluation. A number of new challenges have emerged, and moving forward with large-scale models we don’t fully understand calls for caution. Challenges are posed from multiple directions, including but not limited to the trustworthiness of the generation, the interpretability and controllability of the models, the reliability of evaluation, and the integration of additional sources like knowledge and other modality. Considering these challenges will be crucial for realistic, ecologically valid deployment of summarization research.
Call for Papers
Both long paper (up to 8 pages with unlimited reference) and short paper (up to 4 pages with unlimited reference) are welcomed for submission!
A list of topics relevant to this workshop (but not limited to):
- Abstractive summarization, extractive summarization and their integration
- Summarization with pre-trained large models
- Zero-shot/few-shot summarization
- Fairness in summarization: faithfulness, bias, toxicity, and privacy-preserving
- Interpretability and visualization of summarization systems
- Controlled and tailored text generation
- Knowledge/common sense injected summarization
- Multiple text genres (News, tweets, product reviews, conversations, medical records, books, research articles, etc.)
- Multimodal learning: information integration and aggregation across multiple modalities (text, speech, image, video)
- Multilingual summarization
- Semantic aspects of summarization (e.g., semantic representation, inference, validity)
- Cognitive or psycholinguistic aspects of summarization (e.g., perceived readability, usability, etc.)
- Development of novel algorithms (e.g., integrating neural and non-neural, distant supervision)
- Development of new datasets and annotations
- Development of new evaluation metrics
Submission Instructions
You are invited to submit your papers in our START/SoftConf submission portal. All the submitted papers have to be anonymous for double-blind review. The content of the paper should not be longer than 8 pages for long papers and 4 pages for short papers, strictly following the ACL 2023 style templates, with the mandatory limitation section not counting towards the page limit. Supplementary and appendices (either as separate files or appended after the main submission) are allowed. We encourage code link submissions for the camera-ready version.
NewSumm 2023 will allow double submission as long as the authors make a decision before camera-ready. We will not consider any paper that overlaps significantly in content or results with papers that will be (or have been) published elsewhere. Authors submitting more than one paper to NewSumm 2023 must ensure that their submissions do not overlap significantly (>25%) with each other in content or results. Authors can submit up to 100 MB of supplementary materials separately. Authors are highly encouraged to submit their codes for reproducibility purposes.
Important Dates:
Sep.1, 2023.: Workshop Paper Due Date
Oct. 6, 2023: Notification of Acceptance
Oct. 18, 2023: Camera-ready papers due
Dec. 6: Workshop Date