Abstract
Social media platforms play a crucial role in piecing together global news stories via their corresponding online discussions. Thus, in this work, we introduce the problem of automatically summarizing massively multilingual microblog text streams. We discuss the challenges involved in both generating summaries as well as evaluating them. We introduce a simple word graph based approach that utilizes node neighborhoods to identify keyphrases and thus in turn, pick summary candidates. We also demonstrate the effectiveness of our method in generating precise summaries as compared to other popular techniques.- Anthology ID:
- R17-1060
- Volume:
- Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
- Month:
- September
- Year:
- 2017
- Address:
- Varna, Bulgaria
- Editors:
- Ruslan Mitkov, Galia Angelova
- Venue:
- RANLP
- SIG:
- Publisher:
- INCOMA Ltd.
- Note:
- Pages:
- 452–458
- Language:
- URL:
- https://doi.org/10.26615/978-954-452-049-6_060
- DOI:
- 10.26615/978-954-452-049-6_060
- Cite (ACL):
- Nikhil Londhe and Rohini Srihari. 2017. Summarizing World Speak : A Preliminary Graph Based Approach. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 452–458, Varna, Bulgaria. INCOMA Ltd..
- Cite (Informal):
- Summarizing World Speak : A Preliminary Graph Based Approach (Londhe & Srihari, RANLP 2017)
- PDF:
- https://doi.org/10.26615/978-954-452-049-6_060