Natural language generation is the technique of letting a computer automatically create
natural language, eg English, Chinese or Greek, out of a computational representation. To …

The content of real‐world databases, knowledge bases, database models, and formal
specifications is often highly redundant and needs to be aggregated before these …

Aggregation is the process of removing redundant information during language generation
while preserving the information to be conveyed. Aggregation is an important component of …

Aggregation is gaining attention as an important phenomenon in automated natural
language generation. The small quantity of previous work which deals with this subject su …

The role of aggregation in natural language generation is to combine two or more linguistic
structures into a single sentence. The task is crucial for generating concise and readable …

In natural language generation, different generation tasks often interact with each other in a
complex way, which is hard to capture in the pipeline architecture described by Reiter …

A traditional natural language generation system architecture consists of a content planner
and a surface realizer. The content planner packages information as verb based …

Aggregation is a sub-task of Natural Language Generation (NLG) that improves the
conciseness and readability of the text outputted by NLG systems. Till date, approaches …

In this paper, we provide an account of how to generate sentences with coordination
constructions from clause-sized semantic representations. An algorithm is developed to …

This dissertation identifies and resolves constraints related to the task of combining related
clauses to formulate fluent and concise sentences. To incorporate complex linguistic …