University of Cambridge > Talks.cam > Language Technology Lab Seminars > Clinical De-Identification and Semantic Relatedness

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Clinical De-Identification and Semantic Relatedness

Download to your calendar using vCal

If you have a question about this talk, please contact Marinela Parovic .

The first part of this talk will discuss the development of novel low-cost approaches to de-identifying clinical notes. The second part of the talk discuss the development of a new dataset of semantic relatedness for sentence pairs.. This dataset, STR -2021, has 5,500 English sentence pairs manually annotated for semantic relatedness using a comparative annotation framework. We show that the resulting scores have high reliability (repeat annotation correlation of 0.84). We use the dataset to explore a number of questions on what makes two sentences more semantically related. We also evaluate a suite of sentence representation methods on their ability to place pairs that are more related closer to each other in vector space.

This talk is part of the Language Technology Lab Seminars series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Wolfson Lecture Theatre, Churchill College Hybrid: in-person in Cambridge & online via Teams David Building, Anglia-Ruskin University

Other talks

LMB Seminar - Mechanisms of mRNA packaging and export Seminars in Cancer Title to be confirmed Title to be confirmed Morning Break Machine Learning for Spectral Geometry and Vice Versa
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity