The paper describes how the Swedish Core Language Engine (S-CLE), a general-purpose natural-language processing system was extended to process questions posed to a Prolog database. Previous work on the S-CLE has included processing up to the level of quasi-logical form (QLF); here we address the problems encountered when extending that processing to ``pure'' logical form (LF) and translating the logical forms into questions to the SNACK-85 reginal database. We also show how some natural-language answers were generated from the original question-QLFs and the answers obtained from the database
This paper describes the creation and evaluation of a synthetic dataset of Swedish multiple-choice q...
Search engines contains large amount of information so it is difficult to predict the correct answer...
QRISTAL [9] is a question answering system making intensive use of natural language processing both ...
The paper describes how the Swedish Core Language Engine (S-CLE), a general-purpose natural-language...
The paper describes a Swedish-language customization (S-CLE) of the SRI Core Language Engine, which ...
Development of natural language query based automatic question answering system is in huge demand th...
Question Answering (QA) is the task of automatically generating answers to natural language question...
In Question answering (QA) system retrieves the precise information from large documents according t...
In this paper the methodology followed to build a question- answering system for the Portuguese lang...
Using a computer to answer questions has been a human dream since the beginning of the digital era. ...
Includes bibliographical references (p. 55).Natural Language Processing is a domain of research whic...
An implementation of automatic question generation (QG) from raw Swedish text is presented. QG is he...
The general goal of semantic question answering systems is to provide correct answers to natural lan...
In this paper the methodology followed to build a question- answering system for the Portuguese lang...
International audienceThe Semantic Web contains an enormous amount of information in the form of kno...
This paper describes the creation and evaluation of a synthetic dataset of Swedish multiple-choice q...
Search engines contains large amount of information so it is difficult to predict the correct answer...
QRISTAL [9] is a question answering system making intensive use of natural language processing both ...
The paper describes how the Swedish Core Language Engine (S-CLE), a general-purpose natural-language...
The paper describes a Swedish-language customization (S-CLE) of the SRI Core Language Engine, which ...
Development of natural language query based automatic question answering system is in huge demand th...
Question Answering (QA) is the task of automatically generating answers to natural language question...
In Question answering (QA) system retrieves the precise information from large documents according t...
In this paper the methodology followed to build a question- answering system for the Portuguese lang...
Using a computer to answer questions has been a human dream since the beginning of the digital era. ...
Includes bibliographical references (p. 55).Natural Language Processing is a domain of research whic...
An implementation of automatic question generation (QG) from raw Swedish text is presented. QG is he...
The general goal of semantic question answering systems is to provide correct answers to natural lan...
In this paper the methodology followed to build a question- answering system for the Portuguese lang...
International audienceThe Semantic Web contains an enormous amount of information in the form of kno...
This paper describes the creation and evaluation of a synthetic dataset of Swedish multiple-choice q...
Search engines contains large amount of information so it is difficult to predict the correct answer...
QRISTAL [9] is a question answering system making intensive use of natural language processing both ...