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SUMMARY:Compositional Neural Meaning Representation Parsing - Weiwei Sun (
 University of Cambridge)
DTSTART:20201204T120000Z
DTEND:20201204T130000Z
UID:TALK152377@talks.cam.ac.uk
CONTACT:Guy Aglionby
DESCRIPTION:Much recent research on meaning representation parsing has foc
 used on learning to map natural language sentences to rich semantic graphs
 \, such as Dependency Minimal Recursion Semantics and Abstract Meaning Rep
 resentation. In this talk\, I will discuss composition-based methods for s
 emantic graph parsing — a research effort in combining ‘old school’ 
 knowledge-intensive models and neural data-intensive models. I will first 
 introduce Context-free Graph Rewriting and show how to define symbolic gra
 mmars that map between strings and graphs in a linguistically-sound way. I
  will then discuss how to build a practical parsing system by integrating 
 such a grammar with neural encoders and neural scorers. Finally\, I will r
 eport on a parser which achieves state-of-the-art performance for Dependen
 cy Minimal Recursion Semantics. The graph rewriting framework also support
 s mapping semantic graphs to surface strings.\n\nJoin Zoom Meeting\nhttps:
 //cl-cam-ac-uk.zoom.us/j/91789739002?pwd=bklFUllvRHlNNEd0eUI5NVlubmdJdz09\
 n\nMeeting ID: 917 8973 9002\nPasscode: 155692
LOCATION:Virtual (Zoom)
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