[Adapt] [Adapt Seminar] Semantic Text Similarity

[Kenny Zhu]

Hi guys, 

 

Next time when you make the announcement, please also include the venue and
time in case some one forget. For today, the location is SEIEE-03-528, time
is 4 PM.

 

Kenny

 

From: adapt-bounces at cs.sjtu.edu.cn [mailto:adapt-bounces at cs.sjtu.edu.cn] On
Behalf Of Luo Kangqi
Sent: 2013年9月25日 9:48
To: Adapt
Subject: [Adapt] [Adapt Seminar] Semantic Text Similarity

 

Hi all,

 

In today's seminar, I'll talk about Semantic Text Similarity.

 

Semantic similarity is a core technique for many topics in natural language
processing, such as question answering, semantic searching, and
computer-assisted assessment. The task is to compute a similarity score
given two natural language texts. Due to the different aspects of
understanding for semantic similarity, various methods has been proposed to
solve this task. I will present some typical framework to model natural
texts, the algorithms to compute the similarity score, and how we evaluate
those semantic similarity methods.

 

Cheers,

Kangqi

------------------

Luo Kangqi

ADAPT Lab, SEIEE 3-341

Shanghai Jiao Tong University

 

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