Gathering information from a relational lexical-conceptual database: A natural language question-answering system

被引：0

作者：

Marrafa, P ^{[1
]}

Ribeiro, C ^{[1
]}

Santos, R ^{[1
]}

Correia, J ^{[1
]}

机构：

[1] Univ Lisbon, CLUL, CLG Computat Lex & Grammat Knowledge Res Grp, P-1649003 Lisbon, Portugal

来源：

8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL V, PROCEEDINGS: COMPUTER SCIENCE AND ENGINEERING | 2004年

关键词：

information retrieval; lexical-conceptual networks; syntactic and semantic parsing; semantic inference and natural language generation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the general architecture of a Portuguese relational lexical-conceptual database and a Question-Answering (QA) system - INQUER - that allows users to interact with this database by means of a natural language interface. This system provides direct natural language answers to user's questions by applying inference and information extraction mechanisms. Although these tools are being developed for Portuguese, both the theoretical approaches and the technologies used are language independent.

引用

页码：260 / 265

页数：6

共 50 条

[31] ALICE: A Natural Language Question Answering System Using Dynamic Attention and Memory
Prakash, Tushar
Tripathy, Bala Krushna
Banu, K. Sharmila
SOFT COMPUTING SYSTEMS, ICSCS 2018, 2018, 837 : 274 - 282
[32] Natural language why-question answering system in business intelligence context
Djiroun, Rahma
Guessoum, Meriem Amel
Boukhalfa, Kamel
Benkhelifa, El hadj
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (08): : 11039 - 11067
[33] Integrated Question-Answering System for Natural Disaster Domains Based on Social Media Messages Posted at the Time of Disaster
Kemavuthanon, Kemachart
Uchida, Osamu
INFORMATION, 2020, 11 (09)
[34] Does learning from language family help? A case study on a low-resource question-answering task
Pandya, Hariom A.
Bhatt, Brijesh S.
NATURAL LANGUAGE PROCESSING, 2025, 31 (02): : 375 - 392
[35] Natural Language Processing of South African Online Question-Answering Health Forum HIV and AIDS Dataset Using Topic Modeling
Stone, Kyle
Ojo, Sunday
Tu, Chunling
INTELLIGENT SUSTAINABLE SYSTEMS, WORLDS4 2022, VOL 2, 2023, 579 : 387 - 395
[36] QUESTION ANSWERING FROM NATURAL-LANGUAGE MEDICAL DATA-BASES
GRISHMAN, R
HIRSCHMAN, L
ARTIFICIAL INTELLIGENCE, 1978, 11 (1-2) : 25 - 43
[37] ValueNet: A Natural Language-to-SQL System that Learns from Database Information
Brunner, Ursin
Stockinger, Kurt
2021 IEEE 37TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2021), 2021, : 2177 - 2182
[38] Construction of Intelligent Question-Answering System to Improve Knowledge Management Service from the Perspective of Education Informatization
Han, Quanzhi
JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2025, 24 (01)
[39] Neuroscience and precisiated natural language-based search and question answering system: NeuSearch
Nikravesh, M
2005 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2, 2005, : 45 - 50
[40] Research on a traditional Chinese medicine case-based question-answering system integrating large language models and knowledge graphs
Duan, Yuchen
Zhou, Qingqing
Li, Yu
Qin, Chi
Wang, Ziyang
Kan, Hongxing
Hu, Jili
FRONTIERS IN MEDICINE, 2025, 11

← 1 2 3 4 5 →