publication . Doctoral thesis . 2020

Understanding and generating language with abstract meaning representation

Damonte, Marco;
Open Access English
  • Published: 08 Jan 2020
  • Publisher: The University of Edinburgh
  • Country: United Kingdom
Abstract Meaning Representation (AMR) is a semantic representation for natural language that encompasses annotations related to traditional tasks such as Named Entity Recognition (NER), Semantic Role Labeling (SRL), word sense disambiguation (WSD), and Coreference Resolution. AMR represents sentences as graphs, where nodes represent concepts and edges represent semantic relations between them. Sentences are represented as graphs and not trees because nodes can have multiple incoming edges, called reentrancies. This thesis investigates the impact of reentrancies for parsing (from text to AMR) and generation (from AMR to text). For the parsing task, we showed that...
Persistent Identifiers
ACM Computing Classification System: Data_CODINGANDINFORMATIONTHEORY
free text keywords: natural language processing, NLP, Abstract Meaning Representation, AMR, algorithms, reentrancies, parsing
Related Organizations
Digital Humanities and Cultural Heritage
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