Aggregation in the NL-generator of the Visual and Natural language Specification Tool
43924Authors
nan
Abstract
In this paper we show how to use the so- called aggregation technique to remove redundancies in the fact base of the Visual and Natural language Specification Tool (VINST). The current aggregation modules of the natural language generator of VINST is described and an improvement is prop- osed with one new aggregation rule and a bidirectional grammar. I.
Keywords
Full Content
Aggregation in the NL-generator of the Visual and Natural language Specification Tool Hercules Dalianis Department of Computer and Systems Sciences The Royal Institute of Technology and Stockholm University Electrum 230 S-164 40 Kista Sweden ph. 08-668 90 98 mob. ph. 010-668 13 59 email: hercules @dsv.su.se Abstract In this paper we show how to use the so- called aggregation technique to remove redundancies in the fact base of the Visual and Natural language Specification Tool (VINST). The current aggregation modules of the natural language generator of VINST is described and an improvement is prop- osed with one new aggregation rule and a bidirectional grammar. I. Introduction This paper describes the aggregation process in the natural language generator of the Visual and Natural language Specification Tool (VINST), and how the aggregation can be improved. Aggregation is the process which removes redund- ancy in texts. Redundancy typically occurs when the material selected for communication contains information that is duplicated in the text, or else is so closely related that the reader can automatically infer one piece when reading another. Aggregation is also called ellipsis by linguists. In the VINST-system Natural Language generat- ion is applied in various places. In the specification part to paraphrase the rules expressed in formal language, to paraphrase automata, further on to para- phrase questions asked to the theorem prover, and to paraphrase the executed events and the newly created fact base. We will in this paper only treat the generation of NL from fact bases. The kind of text produced in this domain is illustrated in the right hand window of VINST in figure 1. When generating a text from a fact base in VINST the text becomes very tedious to read since the text is very redundant and does not feel correct conceptually. To make the text smoother to read a new architecture is suggested where a new aggregation rule from (Dalianis & Hovy 1993) is suggested to be used, namely predicate grouping rule. • 6 File Edit UINST $1mulatorlt Figure 1. The event window, where the user can execute events and the inter preter intewrets the specification. The VINST-system is a multi-modal specification and validation tool, specifically for the functionality of telecom services. The specification is carried out with a Visual Language (VL) and a restricted Natural Language (NL), which are translated to LOXY (Echarti & St~lmarck 1988), a First Order Language extended with time. The VINST system is a ready usable prototype which has been demonstrated and tested on various sites in the world (Engstedt 1991, Preifelt & Engstedt 1992). The VINST prototype is imple- mented in AAIS-Prolog and SuperCard on Macin- tosh. The Prolog is used for the NL-system and the SuperCard for the VL-part and for the user interaction of the system. 286 2. Previous research Several studies on aggregating text based on text structure appear in the literature. In fact, the term aggregation was first used in (Mann & Moore 1980). In (Horacek 1992), is described the integration of aggregation (which …
Content truncated to 500 words
Labeled Text
In this paper we show how to use the so- called aggregation technique to remove redundancies in the fact base of the Visual and Natural language Specification Tool (VINST). The current aggregation modules of the natural language generator of VINST is described and an improvement is prop- osed with one new aggregation rule and a bidirectional grammar. I.
Publication Details
- Paper ID:
- 43924
- Year:
- 1995
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan