[Adapt] [Adapt Seminar] Semantic Text Similarity
Kenny Zhu
kzhu at cs.sjtu.edu.cn
Wed Sep 25 10:03:05 CST 2013
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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