A Knowledge Representation Semantic Network for a Natural Language Syntactic Analyzer Based on the UML
نویسندگان
چکیده
The need for improving software processes approximated the software engineering and artificial intelligence areas. Artificial intelligence techniques have been used as a support to software development processes, particularly through intelligent assistants that offer a knowledge-based support to software process’ activities. The context of the present work is a project for an intelligent assistant that implements a linguistic technique with the purpose of extracting object-oriented elements from requirement specifications in natural language through two main functionalities: the syntactic and semantic analyses. The syntactic analysis has the purpose of extracting the syntactic constituents from a sentence; and the semantic analysis has the goal of extracting the meaning from a set of sentences, i.e., a text. This paper focuses on the syntactic analysis functionality and applies the UML to its core as a semantic network for knowledge representation, based on the premise that the UML is de facto a standard general modeling language for software development.
منابع مشابه
برچسبزنی خودکار نقشهای معنایی در جملات فارسی به کمک درختهای وابستگی
Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...
متن کاملBulgarian Pronouns in Universal Networking Language
The paper presents a computationally tractable application of Bulgarian pronouns representation using Universal Networking Language (UNL) formalism. It analyses grammar features of pronouns and offers a model of their formal representation based on incorporation of grammar, semantic and lexical knowledge by using standard UNL knowledge representation mechanisms. The entire application presents ...
متن کاملVOX - An Extensible Natural Language Processor
\ OX is a Natural Language Processor whose knowledge ran be extended by interaction with a user about these objects. The VOX analyzer uses information obtained in extensibility sessions to analyze novel text. 1.1 EXAMPLES VOX consists of a text analyzer and an extensibility system that share a knowledge base The extensibility system lets the user add vocabulary, concepts, phrases, events, and s...
متن کاملAutomatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کاملRepresenting Syntactic-Semantic Knowledge from English Texts
We present a unified representational framework LSeN (Language to Semantic Network) for representing syntactic-semantic knowledge extracted from natural language (e.g. English) texts. Our representation is a variant of the standard semantic networks with some important distinctive features that facilitate bridging the interface between syntactic and semantic knowledge using automatic computatio...
متن کامل