Instance-Based Natural Language Generation

Fluency and Completeness in Instance-based Natural Language Generation

Designing a Speech Corpus for Instance-based Spoken Language Generation

In spoken language applications such as conversation systems where not only the speech waveforms but also the content of the speech (the text) need to be generated automatically, a Concept-to-Speech (CTS) system is needed. In this paper, we address several issues on designing a speech corpus to facilitate an instance-based integrated CTS platform. Both the instance-based CTS generation approach...

A Repository of Frame Instance Lexicalizations for Generation

Robust, statistical Natural Language Generation from Web knowledge bases is hindered by the lack of text-aligned resources. We aim to fill this gap by presenting a method for extracting knowledge from natural language text, and encode it in a format based on frame semantics and ready to be distributed in the Linked Open Data space. We run an implementation of such methodology on a collection of...

Instance-based Sentence Boundary Determination by Optimization for Natural Language Generation

This paper describes a novel instancebased sentence boundary determination method for natural language generation that optimizes a set of criteria based on examples in a corpus. Compared to existing sentence boundary determination approaches, our work offers three significant contributions. First, our approach provides a general domain independent framework that effectively addresses sentence b...

Special Track on Applied Natural Language Processing

The track on applied natural language processing is a forum for researchers working in natural language processing (NLP), computational linguistics (CL), and related areas. The rapid pace of development of online materials, most of them in textual form or text combined with other media (visual, audio), has led to a revived interest for tools capable to understand, organize and mine those materi...