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Found 7 papers, 4 papers with code
Densely connected neural networks for nonlinear regression
Densely connected convolutional networks (DenseNet) behave well in image processing.
Neural semi-Markov CRF for Monolingual Word Alignment
Monolingual word alignment is important for studying fine-grained editing operations (i. e., deletion, addition, and substitution) in text-to-text generation tasks, such as paraphrase generation, text simplification, neutralizing biased language, etc.
Neural CRF Model for Sentence Alignment in Text Simplification
The success of a text simplification system heavily depends on the quality and quantity of complex-simple sentence pairs in the training corpus, which are extracted by aligning sentences between parallel articles.
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Text Simplification
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Discourse Level Factors for Sentence Deletion in Text Simplification
We inspect various document and discourse factors associated with sentence deletion, using a new manually annotated sentence alignment corpus we collected.
Learning Word Embeddings for Low-Resource Languages by PU Learning
In such a situation, the co-occurrence matrix is sparse as the co-occurrences of many word pairs are unobserved.
LearningWord Embeddings for Low-resource Languages by PU Learning
In such a situation, the co-occurrence matrix is sparse as the co-occurrences of many word pairs are unobserved.
Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks
Learning distributed sentence representations is one of the key challenges in natural language processing.
