Melissa Ailem

According to our database, Melissa Ailem authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks.

Charlotte Siska, Katerina Marazopoulou, Melissa Ailem, James Bono

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

Improving NMF clustering by leveraging contextual relationships among words.

Mickael Febrissy, Aghiles Salah, Melissa Ailem, Mohamed Nadif

Neurocomputing, 2022

Lingua Custodia's Participation at the WMT 2022 Word-Level Auto-completion Shared Task.

Melissa Ailem, Jingshu Liu, Jean-Gabriel Barthelemy, Raheel Qader

Proceedings of the Seventh Conference on Machine Translation, 2022

Encouraging Neural Machine Translation to Satisfy Terminology Constraints.

Melissa Ailem, Jingshu Liu, Raheel Qader

Proceedings of the Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2022

2021

Lingua Custodia's Participation at the WMT 2021 Machine Translation Using Terminologies Shared Task.

Melissa Ailem, Jingshu Liu, Raheel Qader

Proceedings of the Sixth Conference on Machine Translation, 2021

2020

Amortized Inference of Variational Bounds for Learning Noisy-OR.

Yiming Yan, Melissa Ailem, Fei Sha

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Topic Augmented Generator for Abstractive Summarization.

Melissa Ailem, Bowen Zhang, Fei Sha

CoRR, 2019

2018

Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract).

Melissa Ailem, François Role, Mohamed Nadif

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images.

Melissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis, Fei Sha

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering.

Aghiles Salah, Melissa Ailem, Mohamed Nadif

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Sparse Poisson Latent Block Model for Document Clustering.

Melissa Ailem, François Role, Mohamed Nadif

IEEE Trans. Knowl. Data Eng., 2017

Model-based co-clustering for the effective handling of sparse data.

Melissa Ailem, François Role, Mohamed Nadif

Pattern Recognit., 2017

Non-negative Matrix Factorization Meets Word Embedding.

Melissa Ailem, Aghiles Salah, Mohamed Nadif

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Way to Boost Semi-NMF for Document Clustering.

Aghiles Salah, Melissa Ailem, Mohamed Nadif

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Graph modularity maximization as an effective method for co-clustering text data.

Melissa Ailem, François Role, Mohamed Nadif

Knowl. Based Syst., 2016

Unsupervised text mining for assessing and augmenting GWAS results.

Melissa Ailem, François Role, Mohamed Nadif, Florence Demenais

J. Biomed. Informatics, 2016

2015

Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity.

Melissa Ailem, François Role, Mohamed Nadif

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015