Mohammed Saeed

Orcid: 0000-0001-6815-9374

Affiliations:
  • Eurecom, Biot Sophia Antipolis, France


According to our database1, Mohammed Saeed authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Querying Large Language Models with SQL.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
The Community Notes Observatory: Can Crowdsourced Fact-Checking be Trusted in Practice?
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Attribute Ambiguity Discovery: A Deep Learning Approach via Unsupervised Learning.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Data Ambiguity Profiling for the Generation of Training Examples.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Employing Transformers and Humans for Textual-Claim Verification. (Utilisation de transformateurs et d'humains pour la vérification de revendications textuelles).
PhD thesis, 2022

Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Ambiguity Detection and Textual Claims Generation from Relational Data.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

You Are My Type! Type Embeddings for Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Fact-Checking Statistical Claims with Tables.
IEEE Data Eng. Bull., 2021

Automatic Verification of Data Summaries.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

RuleBERT: Teaching Soft Rules to Pre-Trained Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Scrutinizer: Fact Checking Statistical Claims.
Proc. VLDB Endow., 2020

Scrutinizer: A Mixed-Initiative Approach to Large-Scale, Data-Driven Claim Verification.
Proc. VLDB Endow., 2020

2019
Explainable Fact Checking with Probabilistic Answer Set Programming.
Proceedings of the 2019 Truth and Trust Online Conference (TTO 2019), 2019


  Loading...