Conference: Challenges and Applications of Automated Extraction of Socio-political Events from Text ACL-IJCNLP

Страна: Тайланд

Город: Bangkok

Тезисы до: 26.04.2021

Даты: 05.08.21 — 06.08.21

Е-мейл Оргкомитета:

Организаторы: CASE Committee


We invite contributions from researchers in computer science, NLP, ML, AI, socio-political sciences, conflict analysis and forecasting, peace studies, as well as computational social science scholars involved in the collection and utilization of socio-political event data. Social and political scientists will be interested in reporting and discussing their approaches and observe what the state-of-the-art text processing systems can achieve for their domain. Computational scholars will have the opportunity to illustrate the capacity of their approaches in this domain and benefit from being challenged by real-world use cases. Academic workshops specific to tackling event information in general or for analyzing text in specific domains such as health, law, finance, and biomedical sciences have significantly accelerated progress in these topics and fields, respectively. However, there is not a comparable effort for handling socio-political events. We hope to fill this gap and contribute to social and political sciences in a similar spirit. We invite work on all aspects of automated coding of socio-political events from mono- or multi-lingual text sources. This includes (but is not limited to) the following topics:
- Extracting events in and beyond a sentence
- Training data collection and annotation processes
- Event coreference detection
- Event-event relations, e.g., subevents, main events, causal relations
- Event dataset evaluation in light of reliability and validity metrics
- Defining, populating, and facilitating event schemas and ontologies
- Automated tools and pipelines for event collection related tasks
- Lexical, Syntactic, and pragmatic aspects of event information manifestation
- Development and analysis of rule-based, ML, hybrid, and human-in-the-loop approaches for creating event datasets
- COVID-19 related socio-political events
- Applications of event databases
- Online social movements
- Bias and fairness of the sources and event datasets
- Estimating what is missing in event datasets using internal and external information
- Novel event detection
- Release of new event datasets
- Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets
- Copyright issues on event dataset creation, dissemination, and sharing
- Qualities of the event information on various online and offline platforms

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