Search Results for author: Krtin Kumar

Found 4 papers, 0 papers with code

From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables

no code implementations18 Apr 2021 Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu

Embedding matrices are key components in neural natural language processing (NLP) models that are responsible to provide numerical representations of input tokens.\footnote{In this paper words and subwords are referred to as \textit{tokens} and the term \textit{embedding} only refers to embeddings of inputs.}

Machine Translation NMT +2

Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples

no code implementations NAACL 2019 Krtin Kumar, Jackie Chi Kit Cheung

Neural abstractive summarizers generate summary texts using a language model conditioned on the input source text, and have recently achieved high ROUGE scores on benchmark summarization datasets.

Language Modelling

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