Query Expansion, Argument Mining and Document Scoring for an Efficient Question Answering System

Results

Title:	Query Expansion, Argument Mining and Document Scoring for an Efficient Question Answering System
Authors:	Alhamzeh, Alaa; Bouhaouel, Mohamed; Egyed-Zsigmond, Elod; Mitrovic, Jelena ; Brunie, Lionel; Kosch, Harald
Issue Date:	2022
Publication:	EXPERIMENTAL IR MEETS MULTILINGUALITY, MULTIMODALITY, AND INTERACTION (CLEF 2022)
ISSN:	0302-9743 Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Search Idenfier
Type:	Conference Paper
Collation:	vol. 13390 str. 162-174
DOI:	10.1007/978-3-031-13643-6_13
WoS-ID:	000870333000013
Scopus-ID:	2-s2.0-85137990861
URI:	https://enauka.gov.rs/handle/123456789/802854
Project:	German Federal Ministry of Education and Research (BMBF) [01-S20049]
Metadata source:	(Preuzeto iz Nasi u WoS)
M-category:	Mp. category will be shown later

2
SCOPUS^TM

Altmetric

Dimensions

Unpaywall

Google Scholar^TM