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Hanane Kteich

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2024
[c4]
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  - conf/acl/KteichLCBS24
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Hanane Kteich, Na Li, Usashi Chatterjee, Zied Bouraoui, Steven Schockaert:
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings. ACL (Findings) 2024: 1467-1480
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Waheed Ahmed Abro, Hanane Kteich, Zied Bouraoui:
Self-supervised Segment Contrastive Learning for Medical Document Representation. AIME (1) 2024: 312-321
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  - journals/corr/abs-2403-16984
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Hanane Kteich, Na Li, Usashi Chatterjee, Zied Bouraoui, Steven Schockaert:
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings. CoRR abs/2403.16984 (2024)
2023
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  - conf/sigir/LiKBS23
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Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert:
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. SIGIR 2023: 216-226
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  - journals/corr/abs-2305-09785
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Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert:
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. CoRR abs/2305.09785 (2023)
2021
[c1]
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  - conf/smartnets/McheickHK21
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Hamid Mcheick, Houssam Hajj Hassan, Hanane Kteich:
D2D Communication: COVID-19 Contact Tracing Application Using Wi-Fi Direct. SmartNets 2021: 1-6

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