93 citations · 133 across the 13 of their papers we have counts for
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Label Dependent Deep Variational Paraphrase Generation
Siamak Shakeri, Abhinav Sethy
Generating paraphrases that are lexically similar but semantically different is a challenging task. Paraphrases of this form can be used to augment data sets for various NLP tasks…
Semi-Supervised Learning for Text Classification by Layer Partitioning
Alexander Hanbo Li, Abhinav Sethy
Most recent neural semi-supervised learning algorithms rely on adding small perturbation to either the input vectors or their representations. These methods have been successful on…
Knowledge Distillation in Document Retrieval
Siamak Shakeri, Abhinav Sethy, Cheng Cheng
Complex deep learning models now achieve state of the art performance for many document retrieval tasks. The best models process the query or claim jointly with the document. Howev…
Knowledge Enhanced Attention for Robust Natural Language Inference
Alexander Hanbo Li, Abhinav Sethy
Neural network models have been very successful at achieving high accuracy on natural language inference (NLI) tasks. However, as demonstrated in recent literature, when tested on…