Overview
The 5th Workshop on Noisy User-generated Text will take place at EMNLP 2019, focusing on the challenges and advancements in Natural Language Processing (NLP) as applied to noisy text from various sources. This workshop is significant for researchers and practitioners in the AI and ML community, as it addresses the complexities of processing user-generated content, which is increasingly prevalent in today’s digital landscape.
Background & Relevance
Noisy user-generated text presents unique challenges for NLP, including issues related to spelling errors, informal language, and varied syntactic structures. This workshop aims to foster discussions and innovations in the preprocessing, analysis, and application of such text. Understanding how to effectively handle noisy data is crucial for improving machine learning models and enhancing user experience across platforms that rely on user-generated content.
Key Details
- Submission Deadline: August 21, 2019 (anywhere on earth)
- Acceptance Notification: September 16, 2019
- Camera-Ready Submission: September 30, 2019
- Workshop Dates: November 3 or November 4, 2019
- Location: EMNLP, Hong Kong
- Submission URL: SoftConf Submission
- Best Paper Award Sponsor: Google
Eligibility & Participation
The workshop invites submissions from researchers and practitioners working on NLP tasks involving noisy user-generated text. It is particularly relevant for those interested in the preprocessing, analysis, and application of such data in various contexts, including social media, online reviews, and educational settings.
Submission or Application Guidelines
Participants can submit regular papers on original and unpublished work, adhering to the EMNLP 2019 style guidelines. Long and short paper submissions must be anonymized, while 1-page abstracts of ongoing work or previously published work are also welcome but will not be included in the proceedings. All accepted submissions will be presented as posters, with selected works also featured in oral presentations.
For submission, authors should follow these steps:
1. Prepare papers according to EMNLP 2019 style guidelines.
2. Anonymize long and short paper submissions.
3. Include author information in abstracts.
4. Submit via the provided SoftConf link.
Additional Context / Real-World Relevance
The ability to process and analyze noisy user-generated text is increasingly important in various applications, including sentiment analysis, information extraction, and multilingual NLP. As social media and online platforms continue to grow, the insights gained from this workshop will contribute to the development of more robust NLP systems capable of understanding and leveraging the nuances of human communication in digital formats.
Conclusion
This workshop presents an excellent opportunity for researchers to share their findings and engage with others in the field. Interested participants are encouraged to submit their work and contribute to the ongoing discourse surrounding noisy user-generated text in NLP. Explore this opportunity to advance your research and connect with peers in the community.
Category: CFP & Deadlines
Tags: nlp, emnlp, noisy text, social media, text normalization, sentiment analysis, error correction, information extraction
