Here’s a quick shout out for Friday’s meeting of the London Text Analytics group, which will be held at Fizzback‘s offices on the Strand at 18:30. As usual, we’ll aim to start with a couple of informal talks then adjourn to a local pub for a drink or two afterwards. As it happens, this meetup is now full, but you can always join the waiting list or (if you’re not yet a member) sign up for early notification of the next event. Full details below – hope to see you there.
Automating the formalization of clinical guidelines using information extraction: an overview of recent lexical approaches
Phil Gooch (City University)
Formalizing guideline text into a computable model, and linking clinical terms and recommendations in clinical guidelines to concepts in the electronic patient record (EHR) is difficult as, typically, both the guideline text and EHR content may be ambiguous, inconsistent and make use of implicit and background medical knowledge. How can lexical-based IE approaches help to automate this task? In this presentation, various design patterns are discussed and some tools presented.
Question-Answering over Linked Data
Danica Damljanovic (Sheffield University)
The availability and growth of the Linked Open Data cloud made exploiting the rich semantics easily accessible but also challenging mainly due to its scale. In this talk I will discuss challenges for building a Question-Answering system that uses these data as the main source for finding the answer. I will introduce the FREyA system which combines syntactic parsing with the semantic annotation in order to correctly interpret the question, and involves the user into dialog if necessary. Through the dialog, FREyA allows the user to validate or change the semantic meaning of each word in the question – the user’s input is used to train the system and improve its performance over time.
- Prostitutes Appeal to Pope: Text Analytics applied to Search
- The role of Natural Language Processing in Information Retrieval
- IR book is out!
- Applying text analytics to product innovation and legal cases
- Text Analytics: Yesterday, Today and Tomorrow