[eas_cs_seminars] 29th November 2016

[Luca Rossi]

Dear all,

Next Tuesday (29/11) Dr. Yulan He will give a talk during our cs seminar
series. The talk will be held as usual in MB404A from 2pm to 3pm (
https://cs.aston.ac.uk/seminars/)

===

Title: Unsupervised Event Extraction and Storyline Generation from Text

Abstract: This talk consists of two parts. In the first part, I will
present our proposed Latent Event and Categorisation Model (LECM) which is
an unsupervised Bayesian model for the extraction of structured
representations of events from Twitter without the use of any labelled
data. The extracted events are automatically clustered into coherence event
type groups. The proposed framework has been evaluated on over 60 millions
tweets and has achieved a precision of 70%, outperforming the
state-of-the-art open event extraction system by nearly 6%. The LECM model
has been extended to jointly modelling event extraction and visualisation
in which each event is modelled as a joint distribution over named
entities, a date, a location and event-related keywords. Moreover, both
tweets and event instances are associated with coordinates in the
visualization space. Experimental results show that the proposed approach
performs remarkably better than both the state-of-the-art event extraction
method and a pipeline approach for event extraction and visualization.

In the second part of my talk, I will present a non-parametric generative
model to extract structured representations and evolution patterns of
storylines simultaneously. In the model, each storyline is modelled as a
joint distribution over some locations, organizations, persons, keywords
and a set of topics. We further combine this model with the Chinese
restaurant process so that the number of storylines can be determined
automatically without human intervention. The proposed model has been
evaluated on three news corpora and the experimental results show that it
generates coherent storylines from new articles.

===

Best,
Luca
-- 
Luca Rossi

Lecturer in Computer Science
School of Engineering and Applied Science
Aston University
Web: http://www.cs.aston.ac.uk/~rossil/ <http://www.cs.bham.ac.uk/~rossil/>
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