MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles

no code implementations • 11 Dec 2022 • Mohamad Yaser Jaradeh, Markus Stocker, Sören Auer

Information extraction from scholarly articles is a challenging task due to the sizable document length and implicit information hidden in text, figures, and citations.

Management named-entity-recognition +3

Plumber: A Modular Framework to Create Information Extraction Pipelines

1 code implementation • 3 Jun 2022 • Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, Sören Auer

Information Extraction (IE) tasks are commonly studied topics in various domains of research.

Triple Classification for Scholarly Knowledge Graph Completion

no code implementations • 23 Nov 2021 • Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, Sören Auer

Scholarly Knowledge Graphs (KGs) provide a rich source of structured information representing knowledge encoded in scientific publications.

Classification Link Prediction +2

Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines

no code implementations • 22 Feb 2021 • Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, Andreas Both, Sören Auer

In the last decade, a large number of Knowledge Graph (KG) information extraction approaches were proposed.

coreference-resolution Entity Linking +1

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

no code implementations • 22 Dec 2020 • Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, Marìa Granados Buey, Ismail Harrando, Ivan Heibi, Vitor Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, Weiqin Xu

Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything.

Common Sense Reasoning Knowledge Graphs

Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs

1 code implementation • 14 Aug 2020 • Jan Portisch, Omaima Fallatah, Sebastian Neumaier, Mohamad Yaser Jaradeh, Axel Polleres

Open Government Data (OGD) is being published by various public administration organizations around the globe.

Knowledge Graphs

Question Answering on Scholarly Knowledge Graphs

no code implementations • 2 Jun 2020 • Mohamad Yaser Jaradeh, Markus Stocker, Sören Auer

Our system can retrieve direct answers to a variety of different questions asked on tabular data in articles.

Knowledge Base Question Answering Knowledge Graphs

The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources

no code implementations • LREC 2020 • Jennifer D'Souza, Anett Hoppe, Arthur Brack, Mohamad Yaser Jaradeh, Sören Auer, Ralph Ewerth

We introduce the STEM (Science, Technology, Engineering, and Medicine) Dataset for Scientific Entity Extraction, Classification, and Resolution, version 1. 0 (STEM-ECR v1. 0).

Entity Extraction using GAN Entity Linking +3

Towards Optimisation of Collaborative Question Answering over Knowledge Graphs

no code implementations • 14 Aug 2019 • Kuldeep Singh, Mohamad Yaser Jaradeh, Saeedeh Shekarpour, Akash Kulkarni, Arun Sethupat Radhakrishna, Ioanna Lytra, Maria-Esther Vidal, Jens Lehmann

Collaborative Question Answering (CQA) frameworks for knowledge graphs aim at integrating existing question answering (QA) components for implementing sequences of QA tasks (i. e. QA pipelines).

feature selection Knowledge Graphs +1

Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge

no code implementations • 30 Jan 2019 • Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar, Manuel Prinz, Jennifer D'Souza, Gábor Kismihók, Markus Stocker, Sören Auer

In this paper, we present the first steps towards a knowledge graph based infrastructure that acquires scholarly knowledge in machine actionable form thus enabling new possibilities for scholarly knowledge curation, publication and processing.

Knowledge Graphs