Melissa Ailem

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Language Resources

Distributional Assumptions

Negative Matrix Factorization

Document Clustering

Top Venues

Publications

Melissa Ailem, Katerina Marazopoulou, Charlotte Siska, James Bono
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks. CoRR (2024)
Charlotte Siska, Katerina Marazopoulou, Melissa Ailem, James Bono
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks. ACL (1) (2024)
Mickael Febrissy, Aghiles Salah, Melissa Ailem, Mohamed Nadif
Improving NMF clustering by leveraging contextual relationships among words. Neurocomputing 495 (2022)
Melissa Ailem, Jingshu Liu, Jean-Gabriel Barthelemy, Raheel Qader
Lingua Custodia's Participation at the WMT 2022 Word-Level Auto-completion Shared Task. WMT (2022)
Melissa Ailem, Jingshu Liu, Raheel Qader
Encouraging Neural Machine Translation to Satisfy Terminology Constraints. TALN-RECITAL (2022)
Melissa Ailem, Jingshu Liu, Raheel Qader
Encouraging Neural Machine Translation to Satisfy Terminology Constraints. ACL/IJCNLP (Findings) (2021)
Melissa Ailem, Jingshu Liu, Raheel Qader
Encouraging Neural Machine Translation to Satisfy Terminology Constraints. CoRR (2021)
Melissa Ailem, Jingshu Liu, Raheel Qader
Lingua Custodia's Participation at the WMT 2021 Machine Translation Using Terminologies Shared Task. WMT@EMNLP (2021)
Melissa Ailem, Jingshu Liu, Raheel Qader
Lingua Custodia's participation at the WMT 2021 Machine Translation using Terminologies shared task. CoRR (2021)
Yiming Yan, Melissa Ailem, Fei Sha
Amortized Inference of Variational Bounds for Learning Noisy-OR. AISTATS (2020)
Melissa Ailem, Bowen Zhang, Fei Sha
Topic Augmented Generator for Abstractive Summarization. CoRR (2019)
Yiming Yan, Melissa Ailem, Fei Sha
Amortized Inference of Variational Bounds for Learning Noisy-OR. CoRR (2019)
Melissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis, Fei Sha
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images. EMNLP (2018)
Aghiles Salah, Melissa Ailem, Mohamed Nadif
Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. AAAI (2018)
Melissa Ailem, François Role, Mohamed Nadif
Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract). ICDE (2018)
Melissa Ailem, Aghiles Salah, Mohamed Nadif
Non-negative Matrix Factorization Meets Word Embedding. SIGIR (2017)
Aghiles Salah, Melissa Ailem, Mohamed Nadif
A Way to Boost Semi-NMF for Document Clustering. CIKM (2017)
Melissa Ailem, François Role, Mohamed Nadif
Model-based co-clustering for the effective handling of sparse data. Pattern Recognit. 72 (2017)
Melissa Ailem, François Role, Mohamed Nadif
Sparse Poisson Latent Block Model for Document Clustering. IEEE Trans. Knowl. Data Eng. 29 (7) (2017)
Melissa Ailem, François Role, Mohamed Nadif
Graph modularity maximization as an effective method for co-clustering text data. Knowl. Based Syst. 109 (2016)
Melissa Ailem, François Role, Mohamed Nadif, Florence Demenais
Unsupervised text mining for assessing and augmenting GWAS results. J. Biomed. Informatics 60 (2016)
Melissa Ailem, François Role, Mohamed Nadif
Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity. CIKM (2015)