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Found 6 papers, 0 papers with code
Domain Specific Fine-tuning of Denoising Sequence-to-Sequence Models for Natural Language Summarization
Summarization of long-form text data is a problem especially pertinent in knowledge economy jobs such as medicine and finance, that require continuously remaining informed on a sophisticated and evolving body of knowledge.
Multilingual Corpus Creation for Multilingual Semantic Similarity Task
In this work, we describe a semi-automated framework to create a multilingual corpus which can be used for the multilingual semantic similarity task.
You Only Need Attention to Traverse Trees
To this end, we propose Tree Transformer, a model that captures phrase level syntax for constituency trees as well as word-level dependencies for dependency trees by doing recursive traversal only with attention.
Improving Tree-LSTM with Tree Attention
In Natural Language Processing (NLP), we often need to extract information from tree topology.
A Novel Neural Sequence Model with Multiple Attentions for Word Sense Disambiguation
Word sense disambiguation (WSD) is a well researched problem in computational linguistics.
Improving Neural Sequence Labelling using Additional Linguistic Information
Sequence labelling is the task of assigning categorical labels to a data sequence.
