LAMA-WeST-Lab

Research

The LAMA-WeST lab conducts research at the intersection of natural language processing, semantic web technologies, and machine learning, with a focus on large language models and knowledge graphs.

Highlighted

Reducing hallucinations in language model-based sparql query generation using post-generation memory retrieval
Reducing hallucinations in language model-based sparql query generation using post-generation memory retrieval
Aditya Sharma, Christopher J. Pal, Amal Zouaq
EACL 2026 (Findings)  ·  arxiv:2502.13369
language-models hallucinations
GeoCoder - Solving Geometry Problems by Generating Modular Code through Vision-Language Models
GeoCoder - Solving Geometry Problems by Generating Modular Code through Vision-Language Models
Aditya Sharma, Aman Dalmia, Mehran Kazemi, Amal Zouaq, Christopher J. Pal
NAACL 2025 (Findings): https://arxiv.org/abs/2410.13510  ·  doi:10.18653/v1/2025.findings-naacl.410

All

2026

Reducing hallucinations in language model-based sparql query generation using post-generation memory retrieval
Reducing hallucinations in language model-based sparql query generation using post-generation memory retrieval
Aditya Sharma, Christopher J. Pal, Amal Zouaq
EACL 2026 (Findings)  ·  arxiv:2502.13369
language-models hallucinations
FRASE: Frame-based Structured Representations for Generalizable SPARQL Query Generation
FRASE: Frame-based Structured Representations for Generalizable SPARQL Query Generation
Karou Diallo, Amal Zouaq
The Fifteenth biennial Language Resources and Evaluation Conference (LREC) 2026  ·  arxiv:2503.22144
language-models structured-representations lexical-variations
Using mCODE as a basis for an Ontology for Cancer Patient Digital Twins
Using mCODE as a basis for an Ontology for Cancer Patient Digital Twins
Odette Rios-Ibacache, Gaetan Butault, Amal Zouaq, John Kildea
Scientific Days RSN, Université Laval  ·  url:https://kildealab.com/news/odettedigitaltwins-2026/
LLMs Can t Play Hangman: On the Necessity of a Private Working Memory for Language Agents
LLMs Can't Play Hangman: On the Necessity of a Private Working Memory for Language Agents
Davide Baldelli, Ali Parviz, Amal Zouaq, Sarath Chandar
arXiv  ·  arxiv:2601.06973
language-models agents working-memory

2025

GeoCoder - Solving Geometry Problems by Generating Modular Code through Vision-Language Models
GeoCoder - Solving Geometry Problems by Generating Modular Code through Vision-Language Models
Aditya Sharma, Aman Dalmia, Mehran Kazemi, Amal Zouaq, Christopher J. Pal
NAACL 2025 (Findings): https://arxiv.org/abs/2410.13510  ·  doi:10.18653/v1/2025.findings-naacl.410
Enhancing Frame Detection with Retrieval-Augmented Generation
Enhancing Frame Detection with Retrieval-Augmented Generation
Karou Diallo, Amal Zouaq
5th International Conference on NLP & Data Mining (NLDM 2025)  ·  arxiv:2502.12210
Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs
Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs
Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)  ·  doi:10.18653/v1/2025.acl-short.22
What is the Best Process Model Representation A Comparative Analysis for Process Modeling with Large Language Models
What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models
Alexis Brissard, Frédéric Cuppens, Amal Zouaq
9th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM) - BPM 2025  ·  arxiv:2507.11356
ReWiSe, Relation-Wise Self-consistency for LLM Probing Winner of the competition
ReWiSe, Relation-Wise Self-consistency for LLM Probing (Winner of the competition)
Edouard Albert-Roulhac, Amal Zouaq
Knowledge Base Construction from Pre-trained Language Models Challenge, 24th International Semantic Web Conference (ISWC 2025)  ·  url:https://www.semanticscholar.org/paper/ReWiSe%3A-Relation-Wise-Self-consistency-for-LLM-Albert-Roulhac-Zouaq/d141d423894f59513be2c83a7cfb84db8a499ddb

2024

MVP: Minimal Viable Phrase for Long Text Understanding
MVP: Minimal Viable Phrase for Long Text Understanding
Louis Clouâtre, Amal Zouaq, Sarath Chandar
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation  ·  url:https://aclanthology.org/2024.lrec-main.1049/
TagDebias: Entity and Concept Tagging for Social Bias Mitigation in Pretrained Language Models
TagDebias: Entity and Concept Tagging for Social Bias Mitigation in Pretrained Language Models
Mehrnaz Moslemi, Amal Zouaq
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings)  ·  doi:10.18653/v1/2024.findings-naacl.101
An Exploration of IFLA LRM for Literature Data Representation
An Exploration of IFLA LRM for Literature Data Representation
Michel Gagnon, Ludovic Font, Amal Zouaq
Journal on Computing and Cultural Heritage, ACM  ·  doi:10.1145/3687486
Contextual Embeddings and Graph Convolutional Networks for Concept Prerequisite Learning
Contextual Embeddings and Graph Convolutional Networks for Concept Prerequisite Learning
Jean-Charles Layoun, Amal Zouaq, Michel Desmarais
The 39th ACM/SIGAPP Symposium On Applied Computing (ACM SAC 2024): Artificial Intelligence for Education  ·  doi:10.1145/3605098.3636062
A deep-dive into the tradeoffs of preference alignment with PEFT
A deep-dive into the tradeoffs of preference alignment with PEFT
Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
Annual Meeting of the Association for Computational Linguistics (ACL) 2024  ·  doi:10.18653/v1/2024.acl-long.311
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions
Karou Diallo, Samuel Reyd, Amal Zouaq
IEEE Access 2024  ·  doi:10.1109/ACCESS.2024.3453215
Ontology-Constrained Generation of Domain-Specific Clinical Summaries
Ontology-Constrained Generation of Domain-Specific Clinical Summaries
Gaya Mehenni, Amal Zouaq
24th International Conference on Knowledge Engineering and Knowledge Management (EKAW) 2024  ·  doi:10.1007/978-3-031-77792-9_23
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
Megh Thakkar, Yash More, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
NeurIPS - Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning AFM 2024  ·  arxiv:2411.06824

2023

Comparing Heuristic Rules and Masked Language Models for Entity Alignment in the Literature Domain
Comparing Heuristic Rules and Masked Language Models for Entity Alignment in the Literature Domain
Dominique Piché, Ludovic Font, Amal Zouaq, Michel Gagnon
Journal on Computing and Cultural Heritage  ·  doi:10.1145/3606699
SORBET: a Siamese Network for Ontology Embeddings using a Distance-based Regression Loss and BERT Best paper award nomination
SORBET: a Siamese Network for Ontology Embeddings using a Distance-based Regression Loss and BERT (Best paper award nomination)
Francis Gosselin, Amal Zouaq
The 22nd International Semantic Web Conference (ISWC)  ·  doi:10.1007/978-3-031-47240-4_30
Assessing the Generalization Capabilities of Neural Machine Translation Models for SPARQL Query Generation
Assessing the Generalization Capabilities of Neural Machine Translation Models for SPARQL Query Generation
Samuel Reyd, Amal Zouaq
The 22nd International Semantic Web Conference (ISWC)  ·  doi:10.1007/978-3-031-47240-4_26
SORBETMatcher results for OAEI 2023 Top system in several tracks
SORBETMatcher results for OAEI 2023 (Top system in several tracks)
Francis Gosselin, Amal Zouaq
The 18th International Workshop on Ontology Matching  ·  url:https://www.semanticscholar.org/paper/SORBETmatcher-results-for-OAEI-2023-Gosselin-Zouaq/ceffb7006d51ba3d35fde939f7d77f072fe7149f

2022

Learning to Rank with BERT for Argument Quality Evaluation
Learning to Rank with BERT for Argument Quality Evaluation
Charles-Olivier Favreau, Amal Zouaq, Sameer Bhatnagar
The 35th International FLAIRS Conference, 35. https://doi.org/10.32473/flairs.v35i.130643  ·  doi:10.32473/flairs.v35i.130643
Local Structure Matters Most: Perturbation Study in NLU
Local Structure Matters Most: Perturbation Study in NLU
Louis Clouatre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2022, pages 3712-3731, Association for Computational Linguistics  ·  10.18653/v1/2022.findings-acl.293
Local Structure Matters Most in Most Languages
Local Structure Matters Most in Most Languages
Louis Clouatre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
AACL 2022  ·  arxiv:2211.05025
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes
Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes
Louis Clouatre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
EMNLP 2022 (Findings)  ·  arxiv:2211.05015
SEBMatcher Results for OAEI 2022
SEBMatcher Results for OAEI 2022
Francis Gosselin, Amal Zouaq
OAEI @ISWC 2022  ·  url:https://dblp.org/rec/conf/semweb/GosselinZ22.html
A Copy Mechanism for Handling Out-of-Vocabulary Elements in SPARQL Neural Machine Translation
A Copy Mechanism for Handling Out-of-Vocabulary Elements in SPARQL Neural Machine Translation
Rose Hirigoyen, Amal Zouaq, Samuel Reyd
AACL 2022  ·  doi:10.18653/v1/2022.findings-aacl.22

2021

Demystifying Neural Language Models Insensitivity to Word-Order
Demystifying Neural Language Models' Insensitivity to Word-Order
Louis Clouatre, Prasanna Parthasarathi, Amal Zouaq, Sarath Chandar
arXiv preprint arXiv:2107.13955v1  ·  arxiv:2107.13955v1
Masked Language Model Entity Matching for Cultural Heritage Data
Masked Language Model Entity Matching for Cultural Heritage Data
D. Piché, L. Font, A. Zouaq, M. Gagnon
Semantic Web and Ontology Design for Cultural Heritage(SWODCH 2021), Vol. 2949,CEUR-WS  ·  url:https://publications.polymtl.ca/49906/
Integrating Heterogeneous Data About Quebec Literature into an IFLA LRM Knowledge Base.
Integrating Heterogeneous Data About Quebec Literature into an IFLA LRM Knowledge Base.
L. Font, D. Piché, A. Zouaq, M. Gagnon
International Conference on Asian Digital Libraries (pp. 373-391). Springer, Cham  ·  doi:10.1007/978-3-030-91669-5_29
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
Louis Clouatre, Philippe Trempe, Amal Zouaq, Sarath Chandar
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4321–4331, Association for Computational Linguistics  ·  doi:10.18653/v1/2021.findings-acl.378
Taxonomy Extraction Using Knowledge Graph Embeddings and Hierarchical Clustering Best Paper Award
Taxonomy Extraction Using Knowledge Graph Embeddings and Hierarchical Clustering (Best Paper Award)
F. Martel, A. Zouaq
36th Annual ACM Symposium on Applied Computing(836–844), ACM  ·  doi:10.1145/3412841.3441959

2020

A Dataset of Learnersourced Explanations from an Online Peer Instruction Environment
A Dataset of Learnersourced Explanations from an Online Peer Instruction Environment
Sameer Bhatanagar, Michel C Desmarais, Amal Zouaq, Elizabeth Charles
13th International Conference on Educational Data Mining, EDM 2020,pp. 350-355  ·  url:https://publications.polymtl.ca/56835/
Using BERT and XLNET for the Automatic Short Answer Grading Task
Using BERT and XLNET for the Automatic Short Answer Grading Task
MC Ghavidel, Hadi Abdi, Amal Zouaq, Michel Desmarais
12th International Conference on Computer Supported Education CSEDU, 58-67  ·  url:https://www.academia.edu/106490387/Using_BERT_and_XLNET_for_the_Automatic_Short_Answer_Grading_Task
Ontology matching using convolutional neural networks
Ontology matching using convolutional neural networks
Alexandre Bento, Amal Zouaq, Michel Gagnon
Proceedings of the 12th language resources and evaluation conference, 5648–5653, ACL  ·  url:https://aclanthology.org/2020.lrec-1.693/
What is the schema of your knowledge graph : leveraging knowledge graph embeddings and clustering for expressive taxonomy learning Invited
What is the schema of your knowledge graph?: leveraging knowledge graph embeddings and clustering for expressive taxonomy learning (Invited)
A. Zouaq, F. Martel
SBD '20: Proceedings of The International Workshop on Semantic Big Data. Association for Computing Machinery, New York, NY, USA, Article 6, 1–6. https://doi.org/10.1145/3391274.3393637  ·  doi:10.1145/3391274.3393637
Extraction of a Knowledge Graph from French Cultural Heritage Documents.
Extraction of a Knowledge Graph from French Cultural Heritage Documents.
E. Marchand, M. Gagnon, A. Zouaq
TPDL 2020, ADBIS 2020. Communications in Computer and Information Science, vol 1260. Springer, Cham.  ·  doi:10.1007/978-3-030-55814-7_2
Learnersourcing Quality Assessment of Explanations for Peer Instruction.
Learnersourcing Quality Assessment of Explanations for Peer Instruction.
Bhatnagar S., Zouaq A., Desmarais M.C., Charles E.
15th European Conference on Technology Enhanced Learning EC-TEL 2020. Lecture Notes in Computer Science, vol 12315. Springer, Cham.  ·  doi:10.1007/978-3-030-57717-9_11

2019

An Exploration of Disciplinary Literacy in Learners Short Answers
An Exploration of Disciplinary Literacy in Learners’ Short Answers
Jean-Philippe Corbeil, Amal Zouaq, Michel Gagnon
2nd International Workshop on eliciting Adaptive Sequences for Learning (WeASeL) - Held in conjunction with Intelligent Tutoring Systems (ITS), Springer.  ·  url:https://www.researchgate.net/publication/337331808_An_Exploration_of_Disciplinary_Literacy_in_Learners'_Short_Answers
Comprehensive analysis of discussion forum participation: from speech acts to discussion dynamics and course outcomes
Comprehensive analysis of discussion forum participation: from speech acts to discussion dynamics and course outcomes
Srećko Joksimović, Jelena Jovanović, Vitomir Kovanović, Dragan Gašević, Nikola Milikić, Amal Zouaq, Jan Paul Van Staalduinen
IEEE Transactions on Learning Technologies 13(1): 38-51, IEEE  ·  doi:10.1109/TLT.2019.2916808
A Comparison of Word Embeddings and N-gram Models for DBpedia Type and Invalid Entity Detection
A Comparison of Word Embeddings and N-gram Models for DBpedia Type and Invalid Entity Detection
Zhou Hanqing, Amal Zouaq, Diana Inkpen
Information 10.1 (2018): 6.  ·  doi:10.3390/info10010006
Mining Concept Map from Text in Portuguese
Mining Concept Map from Text in Portuguese
Camila Zacche de Aguiar, Davidson Cury, Amal Zouaq
Brazilian Journal of Computers in Education 27(1), 83-103. DOI: 10.5753/RBIE.2019.27.01.83  ·  doi:10.5753/RBIE.2019.27.01.83
An analysis of the semantic annotation task on the linked data cloud
An analysis of the semantic annotation task on the linked data cloud
Michel Gagnon, Amal Zouaq, Francisco Aranha, Faezeh Ensan, Ludovic Jean-Louis
International Journal of Metadata, Semantics and Ontologies (IJMSO); 13(4): 317 - 329, InderScience Publishers  ·  arxiv:1811.05549

2018

A Language Adaptive Method for Question Answering
A Language Adaptive Method for Question Answering
Nikolay Radoev, Amal Zouaq, Mathieu Tremblay, Michel Gagnon
In: Buscaldi, D., Gangemi, A., Reforgiato Recupero, D. (eds) Semantic Web Challenges. SemWebEval 2018. Communications in Computer and Information Science, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-00072-1_9  ·  doi:10.1007/978-3-030-00072-1_9
A Comparison of Features for the Automatic Labeling of Student Answers to Open-Ended Questions
A Comparison of Features for the Automatic Labeling of Student Answers to Open-Ended Questions
Jesus Gerardo Mantecon, Hadi Abdi Ghavidel, Amal Zouaq, Jelena Jovanovic, Jenny McDonald
International Conference on Educational Data Mining (EDM) (11th, Raleigh, NC, Jul 16-20, 2018), International Educational Data Mining Society.  ·  url:https://publications.polymtl.ca/41087/
Hybrid Question Answering Using Heuristic Methods and Linked Data Schema
Hybrid Question Answering Using Heuristic Methods and Linked Data Schema
Rawan Bahmid, Amal Zouaq
I2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2018, pp. 446-451, doi: 10.1109/WI.2018.00-54.  ·  doi:10.1109/WI.2018.00-54
Towards Technological Approaches for Concept Maps Mining from Text
Towards Technological Approaches for Concept Maps Mining from Text
Camila Zacche de Aguiar, Davidson Cury, Amal Zouaq
CLEI Electronic Journal. 21(1): 1-16.  ·  doi:10.19153/cleiej.21.1.7
FICLONE: Improving DBpedia Spotlight Using Named Entity Recognition and Collective Disambiguation
FICLONE: Improving DBpedia Spotlight Using Named Entity Recognition and Collective Disambiguation
Mohamed Chabchoub, Michel Gagnon, Amal Zouaq
Open Journal of Semantic Web (OJSW) 5.1 (2018): 12-28.  ·  url:https://www.semanticscholar.org/paper/FICLONE%3A-Improving-DBpedia-Spotlight-Using-Named-Chabchoub-Gagnon/b4298decaaf24d2525de7ad1d1d44cf57cbea609
A Machine Learning Filter for the Slot Filling Task
A Machine Learning Filter for the Slot Filling Task
Kevin Lange Di Cesare, Amal Zouaq, Michel Gagnon, Ludovic Jean-Louis
Information 2018, 9(6), 133  ·  doi:10.3390/info9060133
Automatic Identification of Relations in Quebec Heritage Data.
Automatic Identification of Relations in Quebec Heritage Data.
François Ferry, Amal Zouaq, Michel Gagnon
7th EUROMED 2018 conference – Progress in Cultural Heritage. (pp. 188-199). Springer, Cham.  ·  doi:10.1007/978-3-030-01762-0_16

2017

Linked data for learning analytics: Potentials and challenges
Linked data for learning analytics: Potentials and challenges
Amal Zouaq, Jelena Jovanovic, Srécko Joksimovic, D Gasevic
Handbook of Learning Analytics, pp. 347-355  ·  url:https://research.monash.edu/en/publications/linked-data-for-learning-analytics-potentials-and-challenges/
An assessment of open relation extraction systems for the semantic web
An assessment of open relation extraction systems for the semantic web
Amal Zouaq, Michel Gagnon, Ludovic Jean-Louis
Information Systems, Volume 71, p. 228-239  ·  doi:10.1016/j.is.2017.08.008
Assessing and Improving Domain Knowledge Representation in DBpedia
Assessing and Improving Domain Knowledge Representation in DBpedia
Ludovic Font, Amal Zouaq, Michel Gagnon
Open Journal of Semantic Web (OJSW), 4(1) : p. 1-19  ·  https://www.researchgate.net/publication/304407227_Assessing_the_Quality_of_Domain_Concepts_Descriptions_in_DBpedia
Short answers to deep questions: supporting teachers in large class settings
Short answers to deep questions: supporting teachers in large‐class settings
Jenny McDonald, Rebecca J Bird, Amal Zouaq, Adon Moskal
Journal of Computer Assisted Learning 33.4 (2017): 306-319  ·  doi:10.1111/jcal.12178
DBpedia Entity Type Detection Using Entity Embeddings and N-Gram Models
DBpedia Entity Type Detection Using Entity Embeddings and N-Gram Models
Hanqing Zhou, Amal Zouaq, Diana Inkpen
In: Różewski, P., Lange, C. (eds) 8th International Conference on Knowledge Engineering and Semantic Web. KESW 2017. Communications in Computer and Information Science, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-69548-8_21  ·  doi:10.1007/978-3-319-69548-8_21
AMAL: Answering French Natural Language Questions using DBpedia
AMAL: Answering French Natural Language Questions using DBpedia
Nikolay Radoev, Mathieu Tremblay, Michel Gagnon, Amal Zouaq
In: Dragoni, M., Solanki, M., Blomqvist, E. (eds) Semantic Web Challenges. SemWebEval 2017. Communications in Computer and Information Science, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-69146-6_9  ·  doi:10.1007/978-3-319-69146-6_9
Answering Natural Language Questions on RDF Knowledge base in French. 1st place of QALD 2017 Question answering in French
Answering Natural Language Questions on RDF Knowledge base in French. (1st place of QALD 2017 – Question answering in French)
Nikolay Radoev, Mathieu Tremblay, Michel Gagnon, Amal Zouaq
Question Answering over Linked Data Challenge (QALD2017 Challenge - ESWC 2017). https://project-hobbit.eu/wp-content/uploads/2017/05/QALD_Paper_3.pdf  ·  url:https://publications.polymtl.ca/41578/
An Empirical Study of Embedding Features in Learning to Rank
An Empirical Study of Embedding Features in Learning to Rank
Faezeh Ensan, Ebrahim Bagheri, Amal Zouaq, Alexandre Kouznetsov
The 26th ACM Conference on Information and Knowledge Management, pp. 2059-2062. ACM.  ·  doi:10.1145/3132847.3133138

2016

Semantic Annotation for the Analysis of Political Debates: A Graph-based Approach
Semantic Annotation for the Analysis of Political Debates: A Graph-based Approach
Edoukou Philippe Armel N’Techobo, Amal Zouaq, Michel Gagnon
International Conference on the Advances in Computational Analysis of Political Text, Dubrovnik  ·  url:https://publications.polymtl.ca/41011/
Automatic Extraction of Axioms from Wikipedia Using SPARQL
Automatic Extraction of Axioms from Wikipedia Using SPARQL
Lara Haidar-Ahmad, Amal Zouaq, Michel Gagnon
Lara Haidar-Ahmad, Amal Zouaq, Michel Gagnon  ·  doi:10.1007/978-3-319-47602-5_13
sparql wikipedia axiom-extraction
Collective disambiguation and Semantic Annotation for Entity Linking and Typing - Winner of the Open Knowledge Extraction challenge
Collective disambiguation and Semantic Annotation for Entity Linking and Typing - Winner of the Open Knowledge Extraction challenge)
Mohamed Chabchoub, Michel Gagnon, Amal Zouaq
ESWC-16 Open Knowledge Extraction Challenge, Heraklion, Greece  ·  doi:10.1007/978-3-319-46565-4_3
Entity Typing and Linking using SPARQL Patterns and DBpedia - Winner of the Open Knowledge Extraction challenge
Entity Typing and Linking using SPARQL Patterns and DBpedia - Winner of the Open Knowledge Extraction challenge
Lara Haidar-Ahmad, Ludovic Font, Amal Zouaq, M. Gagnon
ESWC-16 Open Knowledge Extraction Challenge, Heraklion, Greece  ·  doi:10.1007/978-3-319-46565-4_5
A Machine learning Filter for Relation Extraction
A Machine learning Filter for Relation Extraction
Kevin Lange Di Cesare, Amal Zouaq, Ludovic Jean-Louis, Michel Gagnon
25th World Wide Web Conference, Montreal  ·  doi:10.1145/2872518.2889397
Ontomap: from concept maps to shallow owl ontologies
Ontomap: from concept maps to shallow owl ontologies
Guilherme N. Pinotte, Davidson Cury, Amal Zouaq
7th International Conference on Concept Mapping, Vol 2, pp. 164-174.  ·  url:https://publications.polymtl.ca/41086/
Automatic construction of concept maps from text
Automatic construction of concept maps from text
Camila Z. Aguiar, Davidson Cury, Amal Zouaq
7th International Conference on Concept Mapping. Vol 2, pp. 20-30  ·  url:https://www.researchgate.net/publication/311424610_AUTOMATIC_CONSTRUCTION_OF_CONCEPT_MAPS_FROM_TEXTS
Automatic detection of expert models: The exploration of expert modeling methods applicable to technology-based assessment and instruction
Automatic detection of expert models: The exploration of expert modeling methods applicable to technology-based assessment and instruction
Min Kyu Kim, Amal Zouaq, So Mi Kim
Computers & Education 101 (2016): 55-69  ·  doi:10.1016/j.compedu.2016.05.007

2015

Assessing the Quality of Domain Concepts Descriptions in DBpedia
Assessing the Quality of Domain Concepts Descriptions in DBpedia
Ludovic Font, Amal Zouaq, Michel Gagnon
12th International Conference on Signal Image Technology & Internet Based Systems, Bangkok, p. 254-261  ·  doi:10.1109/SITIS.2015.104
What do cMOOC participants talk about in Social Media A Topic Analysis of Discourse in a cMOOC.
What do cMOOC participants talk about in Social Media? A Topic Analysis of Discourse in a cMOOC.
Srecko Joksimovic, Vitomir Kovanovic, Jelena Jovanovic, Amal Zouaq, Dragan Gasevic, Marek Hatala
Proceedings of the 5th International Conference on Learning Analytics & Knowledge (LAK 2015)  ·  doi:10.1145/2723576.2723609
Short Answers to Deep Questions: Insights from Tutorial Dialogue
Short Answers to Deep Questions: Insights from Tutorial Dialogue
Jenny McDonald, Amal Zouaq, Michel Gagnon, R Bird
ALASI 2015  ·  url:https://publications.polymtl.ca/41096/
OntoMap: De Mapas Conceituais a Ontologias OWL
OntoMap: De Mapas Conceituais a Ontologias OWL
Guilherme N. Pinotte, Davidson Cury, Amal Zouaq
In Proceedings of TISE 2015, pp. 172-180.  ·  url:https://www.researchgate.net/publication/296695287_OntoMap_De_Mapas_Conceituais_a_Ontologias_OWL

2014

An Assessment of Online Semantic Annotators for the Keyword Extraction Task
An Assessment of Online Semantic Annotators for the Keyword Extraction Task
Ludovic Jean-Louis, Amal Zouaq, Michel Gagnon, Faezeh Ensan
The 13rd Pacific Rim Internationl Conference on Artificial Intelligence, Gold Coast, Australia.  ·  doi:10.1007/978-3-319-13560-1_44
A Comparison of Graph-based and Statistical Metrics for Learning Domain Keywords.
A Comparison of Graph-based and Statistical Metrics for Learning Domain Keywords.
Alexandre Kouznetsov, Amal Zouaq
13th Pacific Rim Knowledge Acquisition Workshop - PKAW 2014, pp. 260-268, Gold Coast, Australia.  ·  doi:10.1007/978-3-319-13332-4_21