Our goal is to evaluate the grammatical coverage of the surface realization component of a natural language generation system by means of target suites. We consider the utility of re-using for this purpose test suites designed to assess the coverage of natural language analysis / understanding systems. We find that they are of some interest, in helping inter-system comparisons and in providing an essential link to annotated corpora. But they have limitations. First, they contain a high proportion of ill-formed items which are inappropriate as targets for generation. Second, they omit phenomena such as discourse markers which are key issues in text production. We illustrate a partial remedy for this situation in the form of a text generator ...
Natural language generation (nlg) systems are computer software systems that pro-duce texts in Engli...
The term grammar-based software describes software whose input can be specified by a context-free g...
This paper surveys the current state of the art in Natural Language Generation (nlg), de ned as the...
We present recent results from the LRE project tsnlp (Test Suites for Natural Language Processing) ...
After many successes, statistical approaches that have been popular in the parsing community are now...
Introduction In the Natural Language Engineering (NLE) context, a test suite is a more or less syst...
This paper introduces the topic of evaluation of Natural Language Processing systems, and discusses ...
This document forms part of the report describing work carried out under task 5.1. of the TSNLP proj...
Natural Language Generation (NLG) is defined as the systematic approach for producing human understa...
We consider the evaluation problem in Natural Language Generation (NLG) and present results for eval...
Natural Language Generation (NLG) is the process of generating natural language text from an input, ...
Starting in 2007, the field of natural language generation (NLG) has organised shared-task evaluatio...
The research field of Natural Language Generation offers practitioners a wide range of techniques fo...
Recently, there have been various attempts to set up a test suite covering the syntactic phenomena ...
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often c...
Natural language generation (nlg) systems are computer software systems that pro-duce texts in Engli...
The term grammar-based software describes software whose input can be specified by a context-free g...
This paper surveys the current state of the art in Natural Language Generation (nlg), de ned as the...
We present recent results from the LRE project tsnlp (Test Suites for Natural Language Processing) ...
After many successes, statistical approaches that have been popular in the parsing community are now...
Introduction In the Natural Language Engineering (NLE) context, a test suite is a more or less syst...
This paper introduces the topic of evaluation of Natural Language Processing systems, and discusses ...
This document forms part of the report describing work carried out under task 5.1. of the TSNLP proj...
Natural Language Generation (NLG) is defined as the systematic approach for producing human understa...
We consider the evaluation problem in Natural Language Generation (NLG) and present results for eval...
Natural Language Generation (NLG) is the process of generating natural language text from an input, ...
Starting in 2007, the field of natural language generation (NLG) has organised shared-task evaluatio...
The research field of Natural Language Generation offers practitioners a wide range of techniques fo...
Recently, there have been various attempts to set up a test suite covering the syntactic phenomena ...
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often c...
Natural language generation (nlg) systems are computer software systems that pro-duce texts in Engli...
The term grammar-based software describes software whose input can be specified by a context-free g...
This paper surveys the current state of the art in Natural Language Generation (nlg), de ned as the...