Jennifer D'Souza

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 51

Top Topics

Named Entity Recognition

Question Answering

Top Venues

CLEF (Working Notes)

GI-Jahrestagung

Int. J. Digit. Libr.

Publications

Salomon Kabongo, Jennifer D'Souza, Sören Auer
Exploring the Latest LLMs for Leaderboard Extraction. CoRR (2024)
Mahsa Shamsabadi, Jennifer D'Souza, Sören Auer
Large Language Models for Scientific Information Extraction: An Empirical Study for Virology. CoRR (2024)
Salomon Kabongo, Jennifer D'Souza, Sören Auer
Effective Context Selection in LLM-based Leaderboard Generation: An Empirical Study. CoRR (2024)
Jennifer D'Souza, Salomon Kabongo, Hamed Babaei Giglou, Yue Zhang
Overview of the CLEF 2024 SimpleText Task 4: SOTA? Tracking the State-of-the-Art in Scholarly Publications. CLEF (Working Notes) (2024)
Hamed Babaei Giglou, Jennifer D'Souza, Felix Engel, Sören Auer
LLMs4OM: Matching Ontologies with Large Language Models. CoRR (2024)
Anisa Rula, Jennifer D'Souza
Exploring Large Language Models for Procedure Extraction from Documents. SEBD (2024)
Julia Evans, Sameer Sadruddin, Jennifer D'Souza
Astro-NER - Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator? CoRR (2024)
Vladyslav Nechakhin, Jennifer D'Souza, Steffen Eger
Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. CoRR (2024)
Liana Ermakova, Eric SanJuan, Stéphane Huet, Hosein Azarbonyad, Giorgio Maria Di Nunzio, Federica Vezzani, Jennifer D'Souza, Salomon Kabongo, Hamed Babaei Giglou, Yue Zhang, Sören Auer, Jaap Kamps
CLEF 2024 SimpleText Track - Improving Access to Scientific Texts for Everyone. ECIR (6) (2024)
Vladyslav Nechakhin, Jennifer D'Souza, Steffen Eger
Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. Inf. 15 (6) (2024)
Mahsa Shamsabadi, Jennifer D'Souza
A FAIR and Free Prompt-based Research Assistant. CoRR (2024)
Salomon Kabongo, Jennifer D'Souza, Sören Auer
Exploring the Latest LLMs for Leaderboard Extraction. CLEF (Working Notes) (2024)
Mahsa Shamsabadi, Jennifer D'Souza, Sören Auer
Large Language Models for Scientific Information Extraction: An Empirical Study for Virology. EACL (Findings) (2024)
Julia Evans, Jennifer D'Souza, Sören Auer
Large Language Models as Evaluators for Scientific Synthesis. CoRR (2024)
Mahsa Shamsabadi, Jennifer D'Souza
From Keywords to Structured Summaries: Streamlining Scholarly Knowledge Access. CoRR (2024)
Hamed Babaei Giglou, Tilahun Abedissa Taffa, Rana Abdullah, Aida Usmanova, Ricardo Usbeck, Jennifer D'Souza, Sören Auer
Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway. CoRR (2024)
Hamed Babaei Giglou, Tilahun Abedissa Taffa, Rana Abdullah, Aida Usmanova, Ricardo Usbeck, Jennifer D'Souza, Sören Auer
Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway. NSLP (2024)
Raia Abu Ahmad, Jennifer D'Souza, Matthäus Zloch, Wolfgang Otto, Georg Rehm, Allard Oelen, Stefan Dietze, Sören Auer
Toward FAIR Semantic Publishing of Research Dataset Metadata in the Open Research Knowledge Graph. CoRR (2024)
Salomon Kabongo, Jennifer D'Souza, Sören Auer
ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph. Int. J. Digit. Libr. 25 (1) (2024)
Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer
LLMs4OL: Large Language Models for Ontology Learning. ISWC (2023)
Salomon Kabongo, Jennifer D'Souza, Sören Auer
Zero-shot Entailment of Leaderboards for Empirical AI Research. CoRR (2023)
Hamed Babaei Giglou, Mostafa Rahgouy, Jennifer D'Souza, Milad Molazadeh Oskuee, Hadi Bayrami Asl Tekanlou, Cheryl D. Seals
Leveraging Large Language? Models with Multiple Loss Learners for Few-Shot Author Profiling. CLEF (Working Notes) (2023)
Ekaterina Borisova, Raia Abu Ahmad, Georg Rehm, Ricardo Usbeck, Jennifer D'Souza, Markus Stocker, Sören Auer, Judith Gilsbach, Anastasia Wolschewski, Johannes Keller, Daniel Schneider, Thomas Neumuth, Sonja Schimmler
NFDI4DS Transfer and Application. GI-Jahrestagung (2023)
Jennifer D'Souza, Moussab Hrou, Sören Auer
Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph. CoRR (2023)
Raia Abu Ahmad, Jennifer D'Souza, Matthäus Zloch, Wolfgang Otto, Georg Rehm, Allard Oelen, Stefan Dietze, Sören Auer
Towards FAIR Semantic Publishing of Research Dataset Metadata in the Open Research Knowledge Graph. Onto4FAIR (2023)
Ming Jiang, Jennifer D'Souza, Sören Auer, J. Stephen Downie
Evaluating BERT-based Scientific Relation Classifiers for Scholarly Knowledge Graph Construction on Digital Library Collections. CoRR (2023)
Jennifer D'Souza, Isaiah Onando Mulang', Sören Auer
Ranking facts for explaining answers to elementary science questions. Nat. Lang. Eng. 29 (2) (2023)
Gollam Rabby, Jennifer D'Souza, Allard Oelen, Lucie Dvorackova, Vojtech Svátek, Sören Auer
Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph. J. Biomed. Semant. 14 (1) (2023)
Swathi Anil, Jennifer D'Souza
Toward Semantic Publishing in Non-Invasive Brain Stimulation: A Comprehensive Analysis of rTMS Studies. CoRR (2023)
Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer
LLMs4OL: Large Language Models for Ontology Learning. CoRR (2023)
Swathi Anil, Jennifer D'Souza
Toward Semantic Publishing in Non-invasive Brain Stimulation: A Comprehensive Analysis of rTMS Studies. ICADL (2) (2023)
Freya Thießen, Jennifer D'Souza, Markus Stocker
Probing Large Language Models for Scientific Synonyms. SEMANTICS Workshops (2023)
Vladyslav Nechakhin, Jennifer D'Souza
Similar Papers Recommendation for Research Comparisons. SEMANTICS Workshops (2023)
Raia Abu Ahmad, Ekaterina Borisova, Georg Rehm, Stefan Dietze, Saurav Kamakar, Wolfgang Otto, Jennifer D'Souza, Fidan Limani, Ricardo Usbeck
NFDI4DS Shared Tasks. GI-Jahrestagung (2023)
Saurav Karmakar, Matthäus Zloch, Fidan Limani, Benjamin Zapilko, Sharmila Upadhyaya, Jennifer D'Souza, Leyla Jael Castro, Georg Rehm, Marcel R. Ackermann, Harald Sack, Zeyd Boukhers, Sonja Schimmler, Danilo Dessì, Peter Mutschke, Stefan Dietze
Research Knowledge Graphs in NFDI4DS. GI-Jahrestagung (2023)
Jennifer D'Souza, Moussab Hrou, Sören Auer
Evaluating Prompt-Based Question Answering for Object Prediction in the Open Research Knowledge Graph. DEXA (1) (2023)
Anisa Rula, Jennifer D'Souza
Procedural Text Mining with Large Language Models. CoRR (2023)
Sören Auer, Markus Stocker, Oliver Karras, Allard Oelen, Jennifer D'Souza, Anna-Lena Lorenz
Organizing Scholarly Knowledge in the Open Research Knowledge Graph An Open-Science Platform for FAIR Scholarly Knowledge. CoRDI (2023)
Salomon Kabongo, Jennifer D'Souza, Sören Auer
ORKG-Leaderboards: A Systematic Workflow for Mining Leaderboards as a Knowledge Graph. CoRR (2023)
Anisa Rula, Jennifer D'Souza
Procedural Text Mining with Large Language Models. K-CAP (2023)
Salomon Kabongo, Jennifer D'Souza, Sören Auer
Zero-Shot Entailment of Leaderboards for Empirical AI Research. JCDL (2023)
Jennifer D'Souza, Anita Monteverdi, Muhammad Haris, Marco Anteghini, Kheir Eddine Farfar, Markus Stocker, Vítor A. P. Martins dos Santos, Sören Auer
The Digitalization of Bioassays in the Open Research Knowledge Graph. DEXA (1) (2022)
Jennifer D'Souza
Overview of STEM Science as Process, Method, Material, and Data Named Entities. CoRR (2022)
Omar Arab Oghli, Jennifer D'Souza, Sören Auer
Clustering Semantic Predicates in the Open Research Knowledge Graph. CoRR (2022)
Ming Jiang, Jennifer D'Souza, Sören Auer, J. Stephen Downie
Evaluating BERT-based scientific relation classifiers for scholarly knowledge graph construction on digital library collections. Int. J. Digit. Libr. 23 (2) (2022)
Omar Arab Oghli, Jennifer D'Souza, Sören Auer
Clustering Semantic Predicates in the Open Research Knowledge Graph. ICADL (2022)
Jennifer D'Souza, Sören Auer
Computer Science Named Entity Recognition in the Open Research Knowledge Graph. ICADL (2022)
Jennifer D'Souza, Anita Monteverdi, Muhammad Haris, Marco Anteghini, Kheir Eddine Farfar, Markus Stocker, Vítor A. P. Martins dos Santos, Sören Auer
The Digitalization of Bioassays in the Open Research Knowledge Graph. CoRR (2022)
Jennifer D'Souza, Sören Auer
Computer Science Named Entity Recognition in the Open Research Knowledge Graph. CoRR (2022)
Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer
Easy Semantification of Bioassays. AI*IA (2021)
Ming Jiang, Jennifer D'Souza, Sören Auer, J. Stephen Downie
Targeting precision: A hybrid scientific relation extraction pipeline for improved scholarly knowledge organization. ASIST (2020)