1 code implementation • 1 Sep 2023 • Andreea Iana, Mehwish Alam, Alexander Grote, Nevena Nikolajevic, Katharina Ludwig, Philipp Müller, Christof Weinhardt, Heiko Paulheim
News recommendation plays a critical role in shaping the public's worldviews through the way in which it filters and disseminates information about different topics.
1 code implementation • 23 Aug 2023 • Fabian Suchanek, Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, Jules Soria
Knowledge Bases (KBs) find applications in many knowledge-intensive tasks and, most notably, in information retrieval.
no code implementations • 31 Jul 2023 • Mehwish Alam, Frank van Harmelen, Maribel Acosta
Most of the current algorithms consider a KG as a multidirectional labeled graph and lack the ability to capture the semantics underlying the schematic information.
1 code implementation • 21 Nov 2022 • Genet Asefa Gesese, Harald Sack, Mehwish Alam
In this work, a novel Relation Aware Inductive Link preDiction (RAILD) is proposed for KG completion which learns representations for both unseen entities and unseen relations.
no code implementations • 28 Jul 2022 • Russa Biswas, Jan Portisch, Heiko Paulheim, Harald Sack, Mehwish Alam
Entity typing is the task of assigning or inferring the semantic type of an entity in a KG.
no code implementations • 11 Mar 2022 • Mehwish Alam, Andreea Iana, Alexander Grote, Katharina Ludwig, Philipp Müller, Heiko Paulheim
News recommender systems are used by online news providers to alleviate information overload and to provide personalized content to users.
1 code implementation • 24 Jan 2022 • Cristian Santini, Genet Asefa Gesese, Silvio Peroni, Aldo Gangemi, Harald Sack, Mehwish Alam
These efforts to standardize these data and make them accessible have also led to many challenges such as exploration of scholarly articles, ambiguous authors, etc.
1 code implementation • LREC 2022 • Giorgio Ottolina, Matteo Palmonari, Mehwish Alam, Manuel Vimercati
To the best of our knowledge, this is the first study that examines the metaphor detection task with a detailed exploratory analysis where different temporal and static word embeddings are used to account for different representations of literal meanings.
1 code implementation • 17 Aug 2021 • Yiyi Chen, Harald Sack, Mehwish Alam
The goal of this study is the analysis of social media platform to quantify public attitudes towards migrations and the identification of different factors causing these attitudes.
no code implementations • 28 Apr 2020 • Russa Biswas, Radina Sofronova, Mehwish Alam, Harald Sack
Open Knowledge Graphs (such as DBpedia, Wikidata, YAGO) have been recognized as the backbone of diverse applications in the field of data mining and information retrieval.
no code implementations • 22 Apr 2020 • Genet Asefa Gesese, Mehwish Alam, Harald Sack
Most Knowledge Graphs (KGs) contain textual descriptions of entities in various natural languages.
no code implementations • 21 Feb 2020 • Russa Biswas, Mehwish Alam, Harald Sack
Representation Learning of words and Knowledge Graphs (KG) into low dimensional vector spaces along with its applications to many real-world scenarios have recently gained momentum.
no code implementations • 28 Oct 2019 • Genet Asefa Gesese, Russa Biswas, Mehwish Alam, Harald Sack
This paper conducts a survey of KG embedding models which not only consider the structured information contained in the form of entities and relations in a KG but also the unstructured information represented as literals such as text, numerical values, images, etc.
no code implementations • 4 Nov 2018 • Mehwish Alam, Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero
This paper introduces TakeFive, a new semantic role labeling method that transforms a text into a frame-oriented knowledge graph.
no code implementations • 30 May 2018 • Aldo Gangemi, Mehwish Alam, Valentina Presutti
This paper presents Amnestic Forgery, an ontology for metaphor semantics, based on MetaNet, which is inspired by the theory of Conceptual Metaphor.