28 citations · 106 across the 12 of their papers we have counts for
13 papers
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…
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning
Ghanshyam Verma, Shovon Sengupta, Simon Simanta +5
Personalized recommender systems play a crucial role in direct marketing, particularly in financial services, where delivering relevant content can enhance customer engagement and…
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes
Shardul Suryawanshi, Bharathi Raja Chakravarthi, Mihael Arcan +2
Research into the classification of Image with Text (IWT) troll memes has recently become popular. Since the online community utilizes the refuge of memes to express themselves, th…
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…
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…
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…
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…
Automatic Taxonomy Generation - A Use-Case in the Legal Domain
Cécile Robin, James O'Neill, Paul Buitelaar
A key challenge in the legal domain is the adaptation and representation of the legal knowledge expressed through texts, in order for legal practitioners and researchers to access…
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…
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation
Mihael Arcan, Daniel Torregrosa, Paul Buitelaar
Our work presented in this paper focuses on the translation of terminological expressions represented in semantically structured resources, like ontologies or knowledge graphs. The…
A Lexicon for Underspecified Semantic Tagging
Paul Buitelaar
The paper defends the notion that semantic tagging should be viewed as more than disambiguation between senses. Instead, semantic tagging should be a first step in the interpretati…
A Compositional Treatment of Polysemous Arguments in Categorial Grammar
Anne-Marie Mineur, Paul Buitelaar
We discuss an extension of the standard logical rules (functional application and abstraction) in Categorial Grammar (CG), in order to deal with some specific cases of polysemy. We…
Bridging as Coercive Accommodation
Johan Bos, Paul Buitelaar, Anne-Marie Mineur
In this paper we discuss the notion of "bridging" in Discourse Representation Theory as a tool to account for discourse referents that have only been established implicitly, throug…