Leila Kosseim
Leila Kosseim
Professor of Computer Science, Concordia University
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Zitiert von
Zitiert von
Proper name extraction from non-journalistic texts
T Poibeau, L Kosseim
Computational Linguistics in the Netherlands 2000, 144-157, 2001
Using linguistic knowledge to classify non-functional requirements in SRS documents
I Hussain, L Kosseim, O Ormandjieva
Natural Language and Information Systems: 13th International Conference on …, 2008
Toward a text classification system for the quality assessment of software requirements written in natural language
O Ormandjieva, I Hussain, L Kosseim
Fourth international workshop on Software quality assurance: in conjunction …, 2007
Approximation of COSMIC functional size to support early effort estimation in Agile
I Hussain, L Kosseim, O Ormandjieva
Data & Knowledge Engineering 85, 2-14, 2013
Choosing rhetorical structures to plan instructional texts
L Kosseim, G Lapalme
Computational intelligence 16 (3), 408-445, 2000
Automatic quality assessment of SRS text by means of a decision-tree-based text classifier
I Hussain, O Ormandjieva, L Kosseim
Seventh International Conference on Quality Software (QSIC 2007), 209-218, 2007
The QUANTUM Question Answering System at TREC 11.
L Plamondon, G Lapalme, L Kosseim
TREC, 2002
Using semantic templates for a natural language interface to the CINDI virtual library
N Stratica, L Kosseim, BC Desai
Data & Knowledge Engineering 55 (1), 4-19, 2005
Using information extraction and natural language generation to answer e-mail
L Kosseim, S Beauregard, G Lapalme
Data & Knowledge Engineering 38 (1), 85-100, 2001
Improving the performance of question answering with semantically equivalent answer patterns
L Kosseim, J Yousefi
Data & Knowledge Engineering 66 (1), 53-67, 2008
Machine learning for biomedical literature triage
H Almeida, MJ Meurs, L Kosseim, G Butler, A Tsang
PLoS One 9 (12), e115892, 2014
The problem of precision in restricted-domain question answering. Some proposed methods of improvement
H Doan-Nguyen, L Kosseim
Proceedings of the Conference on Question Answering in Restricted Domains, 8-15, 2004
Content and rhetorical status selection in instructional texts
L Kosseim, G Lapalme
Proceedings of the Seventh International Workshop on Natural Language Generation, 1994
Inducing discourse connectives from parallel texts
M Laali, L Kosseim
Proceedings of COLING 2014, the 25th International Conference on …, 2014
mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support
K Strasser, E McDonnell, C Nyaga, M Wu, S Wu, H Almeida, MJ Meurs, ...
Database 2015, 2015
CLaC at CLPsych 2019: Fusion of neural features and predicted class probabilities for suicide risk assessment based on online posts
E Mohammadi, H Amini, L Kosseim
Proceedings of the sixth workshop on computational linguistics and clinical …, 2019
Improving the Precision of a Closed-Domain Question-Answering System with Semantic Information.
H Doan-Nguyen, L Kosseim
RIAO, 850-859, 2004
NLIDB templates for semantic parsing
N Stratica, L Kosseim, BC Desai
Natural language processing and information systems, 2003
Mercure: Towards an automatic e-mail follow-up system
G Lapalme, L Kosseim
IEEE Computational Intelligence Bulletin 2 (1), 14-18, 2003
Towards approximating COSMIC functional size from user requirements in agile development processes using text mining
I Hussain, L Kosseim, O Ormandjieva
Natural Language Processing and Information Systems: 15th International …, 2010
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