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SUMMARY:Women@CL talklet event - Olesya Razuvayevskaya\; Diana Popescu
DTSTART:20170511T120000Z
DTEND:20170511T130000Z
UID:TALK71540@talks.cam.ac.uk
CONTACT:Ekaterina Kochmar
DESCRIPTION:Speaker: Olesya Razuvayevskaya (NLP group)\n\nTitle: Argument 
 mining using argument scheme structures\n\nAbstract: Argument mining from 
 texts in natural language is a challenging task: besides linguistic aspect
 s\, domain knowledge is often required together with appropriate forms of 
 inferences to identify arguments. In this talk\, I will describe how the s
 tructure of argumentation schemes can provide rich information to the task
  of automatically identifying complex argumentative structures in natural 
 language text. Argumentation schemes are patterns of human reasoning which
  have been studied extensively in philosophy and psychology. Our results a
 re promising and demonstrate that given the individual proposition types w
 hich occur in these schemes\, it is possible not only to determine where a
  scheme is being used\, but also the roles played by its component parts.\
 n\n===============\n\nSpeaker: Diana Popescu (NetOS group)\n\nTitle: Chara
 cterizing Network Latency Impact On Cloud-based Applications Performance\n
 \nAbstract: Businesses and individuals run increasing numbers of applicati
 ons using computing resources offered by cloud providers. Well defined per
 formance guarantees are of paramount importance to customers\, ensuring la
 sting collaborations between operators and users. However\, the performanc
 e of an application depends on the data center conditions and upon the res
 ources committed to an application. Building upon an observation that smal
 l network delays may lead to a significant performance degradation\, we se
 ek to quantify how latency\nimpacts the application performance for severa
 l cloud-based applications.\nWe focus upon the cloud-based applications: D
 NS server\, key-value store and a distributed machine learning systems\, t
 o study implementation-based latency-performance. Our results illustrate t
 he impact of latency upon application performance at scales much smaller t
 han typically considered\, and we propose a naive model of application per
 formance dependent upon network latency.\n\n===============
LOCATION:Computer Laboratory\, William Gates Building\, Room FW26
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