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Jennifer D'Souza 0001

Jennifer Dsouza 0001

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affiliation: TIB Leibniz Information Centre for Science and Technology, Hannover, Germany
affiliation (PhD 2015): University of Texas at Dallas, Human Language Technology Research Institute, Richardson, TX, USA

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2020 – today

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2024
[j8]
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Vladyslav Nechakhin, Jennifer D'Souza, Steffen Eger:
Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. Inf. 15(6): 328 (2024)
[j7]
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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): 41-54 (2024)
[c47]
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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: 3163-3173
[c46]
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Salomon Kabongo, Jennifer D'Souza, Sören Auer:
Exploring the Latest LLMs for Leaderboard Extraction. CLEF (Working Notes) 2024: 3246-3260
[c45]
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Mahsa Shamsabadi, Jennifer D'Souza, Sören Auer:
Large Language Models for Scientific Information Extraction: An Empirical Study for Virology. EACL (Findings) 2024: 374-392
[c44]
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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: 28-35
[c43]
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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: 3-18
[c42]
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Anisa Rula, Jennifer D'Souza:
Exploring Large Language Models for Procedure Extraction from Documents. SEBD 2024: 368-376
[i35]
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  - journals/corr/abs-2401-10040
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Mahsa Shamsabadi, Jennifer D'Souza, Sören Auer:
Large Language Models for Scientific Information Extraction: An Empirical Study for Virology. CoRR abs/2401.10040 (2024)
[i34]
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  - journals/corr/abs-2402-14622
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Mahsa Shamsabadi, Jennifer D'Souza:
From Keywords to Structured Summaries: Streamlining Scholarly Knowledge Access. CoRR abs/2402.14622 (2024)
[i33]
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  - journals/corr/abs-2404-08443
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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 abs/2404.08443 (2024)
[i32]
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  - journals/corr/abs-2404-10317
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Hamed Babaei Giglou, Jennifer D'Souza, Felix Engel, Sören Auer:
LLMs4OM: Matching Ontologies with Large Language Models. CoRR abs/2404.10317 (2024)
[i31]
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  - journals/corr/abs-2405-02105
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Vladyslav Nechakhin, Jennifer D'Souza, Steffen Eger:
Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. CoRR abs/2405.02105 (2024)
[i30]
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  - journals/corr/abs-2405-02602
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Julia Evans, Sameer Sadruddin, Jennifer D'Souza:
Astro-NER - Astronomy Named Entity Recognition: Is GPT a Good Domain Expert Annotator? CoRR abs/2405.02602 (2024)
[i29]
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  - journals/corr/abs-2405-14601
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Mahsa Shamsabadi, Jennifer D'Souza:
A FAIR and Free Prompt-based Research Assistant. CoRR abs/2405.14601 (2024)
[i28]
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  - journals/corr/abs-2406-04383
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Salomon Kabongo, Jennifer D'Souza, Sören Auer:
Exploring the Latest LLMs for Leaderboard Extraction. CoRR abs/2406.04383 (2024)
[i27]
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  - journals/corr/abs-2406-07257
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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 abs/2406.07257 (2024)
[i26]
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  - journals/corr/abs-2407-02409
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Salomon Kabongo, Jennifer D'Souza, Sören Auer:
Effective Context Selection in LLM-based Leaderboard Generation: An Empirical Study. CoRR abs/2407.02409 (2024)
[i25]
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  - journals/corr/abs-2407-02977
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Julia Evans, Jennifer D'Souza, Sören Auer:
Large Language Models as Evaluators for Scientific Synthesis. CoRR abs/2407.02977 (2024)
2023
[j6]
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  - journals/biomedsem/RabbyDODSA23
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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): 18 (2023)
[j5]
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Jennifer D'Souza, Isaiah Onando Mulang', Sören Auer:
Ranking facts for explaining answers to elementary science questions. Nat. Lang. Eng. 29(2): 228-253 (2023)
[c41]
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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: 2539-2551
[c40]
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  - conf/cordi/AuerSKO0L23
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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
[c39]
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  - conf/dexa/DSouzaHA23
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Jennifer D'Souza, Moussab Hrou, Sören Auer:
Evaluating Prompt-Based Question Answering for Object Prediction in the Open Research Knowledge Graph. DEXA (1) 2023: 508-515
[c38]
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  - conf/gi/KarmakarZLZU0CR23
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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: 909-918
[c37]
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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: 925-929
[c36]
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  - conf/gi/Ahmad0RDK00LU23
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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: 931-935
[c35]
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  - conf/i-semantics/Nechakhin023
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Vladyslav Nechakhin, Jennifer D'Souza:
Similar Papers Recommendation for Research Comparisons. SEMANTICS Workshops 2023
[c34]
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  - conf/i-semantics/Thiessen0S23
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Freya Thießen, Jennifer D'Souza, Markus Stocker:
Probing Large Language Models for Scientific Synonyms. SEMANTICS Workshops 2023
[c33]
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  - conf/icadl/AnilD23
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Swathi Anil, Jennifer D'Souza:
Toward Semantic Publishing in Non-invasive Brain Stimulation: A Comprehensive Analysis of rTMS Studies. ICADL (2) 2023: 141-151
[c32]
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  - conf/jcdl/KabongoDA23
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Salomon Kabongo, Jennifer D'Souza, Sören Auer:
Zero-Shot Entailment of Leaderboards for Empirical AI Research. JCDL 2023: 237-241
[c31]
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  - conf/kcap/Rula023
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Anisa Rula, Jennifer D'Souza:
Procedural Text Mining with Large Language Models. K-CAP 2023: 9-16
[c30]
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  - conf/onto4fair/Ahmad0Z0RODA23
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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: 23-31
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Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer:
LLMs4OL: Large Language Models for Ontology Learning. ISWC 2023: 408-427
[e4]
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Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Edgard Marx:
Joint Proceedings of the Second International Workshop on Knowledge Graph Generation From Text and the First International BiKE Challenge co-located with 20th Extended Semantic Conference (ESWC 2023), Hersonissos, Greece, May 29th, 2023. CEUR Workshop Proceedings 3447, CEUR-WS.org 2023 [contents]
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Jennifer D'Souza, Anisa Rula, David Chaves-Fraga, Mersedeh Sadeghi, Shahrom Hosseini Sohi, Julián Andrés Rojas, Pieter Colpaert, Edlira Vakaj, Sanju Tiwari, Sahar Vahdati, Anna Lisa Gentile:
Joint Workshop Proceedings of the 5th International Workshop on A Semantic Data Space For Transport (Sem4Tra) and 2nd NLP4KGC: Natural Language Processing for Knowledge Graph Construction co-located with the 19th International Conference on Semantic Systems (SEMANTiCS 2023), Leipzig, Germany and Online, 20 September, 2023. CEUR Workshop Proceedings 3510, CEUR-WS.org 2023 [contents]
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Cássia Trojahn, Luiz Olavo Bonino da Silva Santos, Giancarlo Guizzardi, Clément Jonquet, Megan Katsumi, Emilio M. Sanfilippo, Jennifer D'Souza, Anisa Rula:
Joint Proceedings of the Onto4FAIR 2023 Workshops, collocated with 13th International Conference on Formal Ontology in Information Systems, FOIS 2023, Sherbrooke, QC, Canada, July 20, 2023 and 19th International Conference on Semantic Systems, SEMANTiCS 2023, Leipzig, Germany, September 20, 2023. HAL 2023, ISBN 978-3-642-14622-0 [contents]
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  - journals/corr/abs-2303-16835
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Salomon Kabongo, Jennifer D'Souza, Sören Auer:
Zero-shot Entailment of Leaderboards for Empirical AI Research. CoRR abs/2303.16835 (2023)
[i23]
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  - journals/corr/abs-2305-02291
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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 abs/2305.02291 (2023)
[i22]
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  - journals/corr/abs-2305-11068
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Salomon Kabongo, Jennifer D'Souza, Sören Auer:
ORKG-Leaderboards: A Systematic Workflow for Mining Leaderboards as a Knowledge Graph. CoRR abs/2305.11068 (2023)
[i21]
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  - journals/corr/abs-2305-12900
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Jennifer D'Souza, Moussab Hrou, Sören Auer:
Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph. CoRR abs/2305.12900 (2023)
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  - journals/corr/abs-2307-16648
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Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer:
LLMs4OL: Large Language Models for Ontology Learning. CoRR abs/2307.16648 (2023)
[i19]
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  - journals/corr/abs-2310-03376
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Anisa Rula, Jennifer D'Souza:
Procedural Text Mining with Large Language Models. CoRR abs/2310.03376 (2023)
[i18]
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  - journals/corr/abs-2310-06517
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Swathi Anil, Jennifer D'Souza:
Toward Semantic Publishing in Non-Invasive Brain Stimulation: A Comprehensive Analysis of rTMS Studies. CoRR abs/2310.06517 (2023)
2022
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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): 197-215 (2022)
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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: 63-68
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Jennifer D'Souza, Sören Auer:
Computer Science Named Entity Recognition in the Open Research Knowledge Graph. ICADL 2022: 35-45
[c26]
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Omar Arab Oghli, Jennifer D'Souza, Sören Auer:
Clustering Semantic Predicates in the Open Research Knowledge Graph. ICADL 2022: 477-484
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Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Loris Bozzato, Valentina Anita Carriero, Torsten Hahmann, Antoine Zimmermann:
Proceedings of the 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge co-located with 19th Extended Semantic Conference (ESWC 2022), Hersonissos, Greece, May 30th, 2022. CEUR Workshop Proceedings 3184, CEUR-WS.org 2022 [contents]
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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 abs/2203.14574 (2022)
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  - journals/corr/abs-2203-14579
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Jennifer D'Souza, Sören Auer:
Computer Science Named Entity Recognition in the Open Research Knowledge Graph. CoRR abs/2203.14579 (2022)
[i15]
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Jennifer D'Souza:
Overview of STEM Science as Process, Method, Material, and Data Named Entities. CoRR abs/2205.11863 (2022)
[i14]
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Omar Arab Oghli, Jennifer D'Souza, Sören Auer:
Clustering Semantic Predicates in the Open Research Knowledge Graph. CoRR abs/2210.02034 (2022)
2021
[j3]
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Jennifer D'Souza, Sören Auer:
Sentence, Phrase, and Triple Annotations to Build a Knowledge Graph of Natural Language Processing Contributions - A Trial Dataset. J. Data Inf. Sci. 6(3): 6-34 (2021)
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Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer:
Easy Semantification of Bioassays. AI*IA 2021: 198-212
[c24]
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Jennifer D'Souza, Sören Auer:
Pattern-Based Acquisition of Scientific Entities from Scholarly Article Titles. ICADL 2021: 401-410
[c23]
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Salomon Kabongo, Jennifer D'Souza, Sören Auer:
Automated Mining of Leaderboards for Empirical AI Research. ICADL 2021: 453-470
[c22]
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Jennifer D'Souza, Sören Auer, Ted Pedersen:
SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph. SemEval@ACL/IJCNLP 2021: 364-376
[i13]
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  - journals/corr/abs-2105-05150
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Grischa Fraumann, Jennifer D'Souza, Kim Holmberg:
Eigenfactor. CoRR abs/2105.05150 (2021)
[i12]
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  - journals/corr/abs-2106-07385
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Jennifer D'Souza, Sören Auer, Ted Pedersen:
SemEval-2021 Task 11: NLPContributionGraph - Structuring Scholarly NLP Contributions for a Research Knowledge Graph. CoRR abs/2106.07385 (2021)
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  - journals/corr/abs-2109-00199
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Jennifer D'Souza, Sören Auer:
Pattern-based Acquisition of Scientific Entities from Scholarly Article Titles. CoRR abs/2109.00199 (2021)
[i10]
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  - journals/corr/abs-2109-13089
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Salomon Kabongo, Jennifer D'Souza, Sören Auer:
Automated Mining of Leaderboards for Empirical AI Research. CoRR abs/2109.13089 (2021)
[i9]
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  - journals/corr/abs-2110-09036
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Jennifer D'Souza, Isaiah Onando Mulang', Sören Auer:
Ranking Facts for Explaining Answers to Elementary Science Questions. CoRR abs/2110.09036 (2021)
[i8]
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  - journals/corr/abs-2111-15182
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Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer:
Easy Semantification of Bioassays. CoRR abs/2111.15182 (2021)
2020
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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
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Arthur Brack, Jennifer D'Souza, Anett Hoppe, Sören Auer, Ralph Ewerth:
Domain-Independent Extraction of Scientific Concepts from Research Articles. ECIR (1) 2020: 251-266
[c19]
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Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer:
SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph. EKAW (Posters & Demos) 2020: 22-30
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Ming Jiang, Jennifer D'Souza, Sören Auer, J. Stephen Downie:
Improving Scholarly Knowledge Representation: Evaluating BERT-Based Models for Scientific Relation Classification. ICADL 2020: 3-19
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Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer:
Representing Semantified Biological Assays in the Open Research Knowledge Graph. ICADL 2020: 89-98
[c16]
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Jennifer D'Souza, Sören Auer:
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature. EEKE@JCDL 2020: 16-27
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Lars Vogt, Jennifer D'Souza, Markus Stocker, Sören Auer:
Toward Representing Research Contributions in Scholarly Knowledge Graphs Using Knowledge Graph Cells. JCDL 2020: 107-116
[c14]
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Jennifer D'Souza, Anett Hoppe, Arthur Brack, Mohamad Yaser Jaradeh, Sören Auer, Ralph Ewerth:
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources. LREC 2020: 2192-2203
[c13]
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Isaiah Onando Mulang', Jennifer D'Souza, Sören Auer:
Fine-tuning BERT with Focus Words for Explanation Regeneration. *SEM@COLING 2020: 125-130
[i7]
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  - journals/corr/abs-2001-03067
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Arthur Brack, Jennifer D'Souza, Anett Hoppe, Sören Auer, Ralph Ewerth:
Domain-independent Extraction of Scientific Concepts from Research Articles. CoRR abs/2001.03067 (2020)
[i6]
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Jennifer D'Souza, Anett Hoppe, Arthur Brack, Mohamad Yaser Jaradeh, Sören Auer, Ralph Ewerth:
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources. CoRR abs/2003.01006 (2020)
[i5]
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  - journals/corr/abs-2004-06153
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Ming Jiang, Jennifer D'Souza, Sören Auer, J. Stephen Downie:
Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification. CoRR abs/2004.06153 (2020)
[i4]
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  - journals/corr/abs-2006-12870
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Jennifer D'Souza, Sören Auer:
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature. CoRR abs/2006.12870 (2020)
[i3]
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  - journals/corr/abs-2009-07642
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Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer:
Representing Semantified Biological Assays in the Open Research Knowledge Graph. CoRR abs/2009.07642 (2020)
[i2]
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Marco Anteghini, Jennifer D'Souza, Vítor A. P. Martins dos Santos, Sören Auer:
SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph. CoRR abs/2009.08801 (2020)
[i1]
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  - journals/corr/abs-2010-04388
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Jennifer D'Souza, Sören Auer:
Graphing Contributions in Natural Language Processing Research: Intra-Annotator Agreement on a Trial Dataset. CoRR abs/2010.04388 (2020)

2010 – 2019

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2019
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Mohamad Yaser Jaradeh, Allard Oelen, Kheir Eddine Farfar, Manuel Prinz, Jennifer D'Souza, Gábor Kismihók, Markus Stocker, Sören Auer:
Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge. K-CAP 2019: 243-246
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Jennifer D'Souza, Isaiah Onando Mulang', Sören Auer:
Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions. TextGraphs@EMNLP 2019: 90-100
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Mohamad Yaser Jaradeh, Allard Oelen, Viktor Kovtun, Manuel Prinz, Gábor Kismihók, Jennifer D'Souza, Markus Stocker, Sören Auer:
ORKG overview resources. Version 3. Zenodo, 2019 [all versions]
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Mohamad Yaser Jaradeh, Allard Oelen, Viktor Kovtun, Manuel Prinz, Gábor Kismihók, Jennifer D'Souza, Markus Stocker, Sören Auer:
TPDL 2019, ORKG overview resources. Version 2. Zenodo, 2019 [all versions]
2015
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Jennifer D'Souza:
A Multi-Pass Sieve for Name Normalization. AAAI 2015: 4150-4151
[c9]
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Jennifer D'Souza:
A Sequence Labeling Approach to Deriving Word Variants. AAAI 2015: 4152-4153
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Jennifer D'Souza, Vincent Ng:
Sieve-Based Entity Linking for the Biomedical Domain. ACL (2) 2015: 297-302
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Jennifer D'Souza, Vincent Ng:
Sieve-Based Spatial Relation Extraction with Expanding Parse Trees. EMNLP 2015: 758-768
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Jennifer D'Souza, Vincent Ng:
UTD: Ensemble-Based Spatial Relation Extraction. SemEval@NAACL-HLT 2015: 862-869
2014
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Jennifer D'Souza, Vincent Ng:
Knowledge-rich temporal relation identification and classification in clinical notes. Database J. Biol. Databases Curation 2014 (2014)
[c5]
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Jennifer D'Souza, Vincent Ng:
Ensemble-Based Medical Relation Classification. COLING 2014: 1682-1693
[c4]
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Jennifer D'Souza, Vincent Ng:
Annotating Inter-Sentence Temporal Relations in Clinical Notes. LREC 2014: 2758-2765
2013
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Jennifer D'Souza, Vincent Ng:
Classifying temporal relations in clinical data: A hybrid, knowledge-rich approach. J. Biomed. Informatics 46(6): S29-S39 (2013)
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Jennifer D'Souza, Vincent Ng:
Temporal Relation Identification and Classification in Clinical Notes. BCB 2013: 392
[c2]
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Jennifer D'Souza, Vincent Ng:
Classifying Temporal Relations with Rich Linguistic Knowledge. HLT-NAACL 2013: 918-927
2012
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Jennifer D'Souza, Vincent Ng:
Anaphora resolution in biomedical literature: a hybrid approach. BCB 2012: 113-122

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