Melissa Ailem

According to our database1, Melissa Ailem authored at least 16 papers between 2015 and 2022.

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

Timeline

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Links

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Bibliography

2022
Improving NMF clustering by leveraging contextual relationships among words.
Neurocomputing, 2022

Lingua Custodia's Participation at the WMT 2022 Word-Level Auto-completion Shared Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

Encouraging Neural Machine Translation to Satisfy Terminology Constraints.
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.
Proceedings of the Sixth Conference on Machine Translation, 2021

2020
Amortized Inference of Variational Bounds for Learning Noisy-OR.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Topic Augmented Generator for Abstractive Summarization.
CoRR, 2019

2018
Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images.
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.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Sparse Poisson Latent Block Model for Document Clustering.
IEEE Trans. Knowl. Data Eng., 2017

Model-based co-clustering for the effective handling of sparse data.
Pattern Recognit., 2017

Non-negative Matrix Factorization Meets Word Embedding.
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.
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.
Knowl. Based Syst., 2016

Unsupervised text mining for assessing and augmenting GWAS results.
J. Biomed. Informatics, 2016

2015
Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015


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