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20172024
most citedAugmenting Neural Machine Translation with Knowledge Graphs

16 citations · 27 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.CL20242 cited

A Hybrid Approach To Aspect Based Sentiment Analysis Using Transfer Learning

Gaurav Negi, Rajdeep Sarkar, Omnia Zayed +1

Aspect-Based Sentiment Analysis (ABSA) aims to identify terms or multiword expressions (MWEs) on which sentiments are expressed and the sentiment polarities associated with them. T…

cs.CL2020

Contextual Modulation for Relation-Level Metaphor Identification

Omnia Zayed, John P. McCrae, Paul Buitelaar

Identifying metaphors in text is very challenging and requires comprehending the underlying comparison. The automation of this cognitive process has gained wide attention lately. H…

cs.CL2019

Polylingual Wordnet

Mihael Arcan, John McCrae, Paul Buitelaar

Princeton WordNet is one of the most important resources for natural language processing, but is only available for English. While it has been translated using the expand approach…

cs.CL201916 cited

Augmenting Neural Machine Translation with Knowledge Graphs

Diego Moussallem, Mihael Arčan, Axel-Cyrille Ngonga Ngomo +1

While neural networks have been used extensively to make substantial progress in the machine translation task, they are known for being heavily dependent on the availability of lar…

cs.CL2018

Open Domain Suggestion Mining: Problem Definition and Datasets

Sapna Negi, Maarten de Rijke, Paul Buitelaar

We propose a formal definition for the task of suggestion mining in the context of a wide range of open domain applications. Human perception of the term \emph{suggestion} is subje…

cs.CL20179 cited

Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings

Sapna Negi, Paul Buitelaar

Mining suggestion expressing sentences from a given text is a less investigated sentence classification task, and therefore lacks hand labeled benchmark datasets. In this work, we…