Workshop on risk management and computational linguistics--xerox workshop proposal

Title and short description of the workshop topic and motivation

Managing risk has to do with:
      - Recognition of risk which for computational linguistics translates as extracting sentences or piece of documents expressing a risk. As expression of risk can be carried by different types of medias such as images, videos or data, it means also being able to unify all pieces of knowledge in different format that express a risk.
      - risk assessment and developing strategies to manage risk which means to be able to qualify the extracted risk, as for instance to be able to say if this risk is factual or not. It also means to develop methods being able to affect a weight to the different pieces of information extracted and this, across media. in other words it means, among other to define methodologies that will help to assess the gravity of a given risk so that "the risks with the greatest loss and the greatest probability of occurring are handled first, and risks with lower probability of occurrence and lower loss are handled in descending order."

Because risk may refer to numerous types of threats caused by environment, technology, humans, organizations and politics, applications are numerous among different vertical markets such as finance, health or homeland security.

This workshop invites papers addressing the issue of how natural language processing can help to support risk management in general this includes:
      - discourse analysis
      - identification and representations of events
      - identification and representation of threats
      - identification and sources' validation
      - taxonomies
      - parsing
      - knowledge representation
      - reasoning
      - relations between different concepts such as event and time
      - modality (e.g. factuality)
      - fusion text data
      - risk management systems and tools with emulated language competence

Organizers

Program Committee