Dr. Nitisha Jain

Dr. Nitisha Jain

All Publications

All Publications - Nitisha Jain
  • Nitisha Jain, Antoine Domingues, Adwait Baokar, Albert Meroño Peñuela, Elena Simperl : Towards Interpretable Embeddings: Aligning Representations with Semantic Aspects. Neurosymbolic AI Journal 2025. [Paper]

  • Nitisha Jain, Chiara Di Bonaventura, Albert Meroño-Peñuela, Barbara McGillivray : An Annotation Protocol for Diachronic Evaluation of Semantic Drift in Disability Sources. Linguistic Annotation Workshop (LAW) 2025, Association for Computational Linguistics (ACL). [Paper]

  • Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Luca Foschini, Joan Giner-Miguelez, Pieter Gijsbers, Sujata Goswami, Nitisha Jain et al. : Croissant: A Metadata Format for ML-Ready Datasets. Neural Information Processing Systems (NeurIPS) 2024. [Paper] (Spotlight paper)

  • Towards deployment-centric multimodal AI beyond vision and language. arXiv preprint 2025 arXiv:2504.03603
  • Elisavet Koutsiana, Ioannis Reklos, Kholoud Saad Alghamdi, Nitisha Jain, Albert Meroño-Peñuela, Elena Simperl : Talking Wikidata: Communication Patterns and Their Impact on Community Engagement in Collaborative Knowledge Graphs. Transactions on Graph Data & Knowledge, 2025. [Paper]
  • Elisavet Koutsiana, Tushita Yadav, Nitisha Jain, Albert Merono Penuela, Elena Simperl : Agreeing and disagreeing in collaborative knowledge graph construction: An analysis of Wikidata. Journal of Web Semantics, 2025. [Paper]
  • Nitisha Jain, Mubashara Akhtar, Joan Giner-Miguelez, Rajat Shinde, Omar Benjelloun, Elena Simperl et al. : A Standardized Machine-readable Dataset Documentation Format for Responsible AI. arXiv preprint 2024 arXiv:2407.16883
  • Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Pieter Gijsbers, Joan Giner-Miguelez, Nitisha Jain et al.: Croissant: A Metadata Format for ML-Ready Datasets. Data Management for End-to-End Machine Learning (DEEM), 2024. [Paper] (Best Paper Award)
  • Antoine Domingues, Nitisha Jain, Albert Meroño Peñuela, Elena Simperl: Bringing Back Semantics to Knowledge Graph Embeddings : An Interpretability Approach. Neural-Symbolic Learning and Reasoning (NeSy), 2024. [Paper]
  • Jacopo de Berardinis, Valentina Anita Carriero, Nitisha Jain et al.: The Polifonia Ontology Network: Building a Semantic Backbone for Musical Heritage. International Semantic Web Conference (ISWC), 2023. [Paper]
  • Bohui Zhang, Ioannis Reklos, Nitisha Jain, Albert Meroño Peñuela, Elena Simperl: Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata. KBC-LM workshop and the LM-KBC challenge @ ISWC 2023. [Paper]
  • Nitisha Jain, Ralf Krestel: Discovering Fine-Grained Semantics in Knowledge Graph Relations. ACM International Conference on Information and Knowledge Management (CIKM), 2022. [Paper]

  • Nitisha Jain, Alejandro Sierra, Jan Ehmueller, Ralf Krestel : Generation of Training Data for Named Entity Recognition of Artworks. Semantic Web Journal (SWJ) Volume 14, Number 2, 2023 - Special Issue on Cultural Heritage and Semantic Web. [Paper]

  • Maria Lomaeva, Nitisha Jain: Relation Canonicalization in Open Knowledge Graphs - A Quantitative Analysis. Extended Semantic Web Conference (ESWC), 2022 (Best Poster Nomination). [Poster]

  • Nitisha Jain, Trung-Kien Tran, Mohamed H. Gad-Elrab, Daria Stepanova: Improving Knowledge Graph Embeddings with Ontological Reasoning. International Semantic Web Conference (ISWC), 2021. [Paper] [Talk]
  • Nitisha Jain, Jan-Christoph Kalo, Wolf-Tilo Balke, Ralf Krestel: Do Embeddings Actually Capture Knowledge Graph Semantics?. Extended Semantic Web Conference (ESWC), 2021. [Paper]
  • Nitisha Jain, Ralf Krestel: Learning Fine-Grained Semantics for Multi-Relational Data. International Semantic Web Conference, Posters and Demos (ISWC), 2020. [Paper] [Poster]
  • Nitisha Jain: Domain-Specific Knowledge Graph Construction for Semantic Analysis. Extended Semantic Web Conference (ESWC), 2020. [Paper] [Poster]
  • Simon  Razniewski, Nitisha Jain, Paramita  Mirza, Gerhard  Weikum: Coverage of Information Extraction from Sentences and Paragraphs. Empirical Methods in Natural Language Processing and the International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019. [Paper]
  • Nitisha Jain, Ralf Krestel: Who is Mona L.? Identifying Mentions of Artworks in Historical Archives. Theory and Practice of Digital Libraries (TPDL), 2019. [Paper]

Workshops, Tutorials and Non-archival

  • Nitisha Jain, Ralf Krestel: Discovering Fine-Grained Semantics in Knowledge Graph Relations. Poster presentation at the 4th Conference on Automated Knowledge Base Construction (AKBC 2022) 2022. [Poster]
  • Nitisha Jain, Ralf Krestel: Semantics-driven Refinement for Relational Data. Paper presentation at the Structured and Unstructured Knowledge Integration (SUKI) workshop at NAACL 2022. [Paper]
  • Armand Boschin, Nitisha Jain, Gurami Keretchashvili, Fabian M. Suchanek: Combining Embeddings and Rules for Fact Prediction. Invited tutorial at the Summer School on Artificial Intelligence in Bergen (AIB) 2022. [Paper]
  • Nitisha Jain, Alejandro Sierra-Múnera, Maria Lomaeva, Julius Streit, Simon Thormeyer, Philipp Schmidt and Ralf Krestel: Generating Domain-Specific Knowledge Graphs - Challenges with Open Information Extraction. Proceedings of International Workshop on Knowledge Graph Generation from Text (Text2KG), co-located with the Extended Semantic Web Conference (ESWC 2022). [Paper]
  • Nitisha Jain: Knowledge Graph Representation with Embeddings. Featured talk at the the 2nd Workshop on Unstructured and Structured KBs at AKBC 2021 conference. [Featured Abstract]
  • Nitisha Jain, Jan-Christoph Kalo, Wolf-Tilo Balke, Ralf Krestel: Do Embeddings Actually Capture Knowledge Graph Semantics?. Paper presentation at the International Conference on Principles of Knowledge Representation and Reasoning (KR), 2021. [Extended Abstract] [Poster]
  • Nitisha Jain, Christian Bartz, Tobias Bredow, Emanuel Metzenthin, Jona Otholt, Ralf Krestel: Semantic Analysis of Cultural Heritage Data: Aligning Paintings and Descriptions in Art-Historic Collections. Proceedings of the International Workshop on Fine Art Pattern Extraction and Recognition (FAPER@ICPR), 2020. [Paper]
  • Nitisha Jain: Multimodal Knowledge Graphs for Semantic Analysis of Cultural Heritage Data.  Invited Talk at the Workshop on Knowledge Bases and Multiple Modalities (KBMM@AKBC) 2020. [Abstract]
  • Nitisha Jain, Christian Bartz, Ralf Krestel: Automatic Matching of Paintings and Descriptions in Art-Historic Archives using Multimodal Analysis. Proceedings of the International Workshop on Artificial Intelligence for Historical Image Enrichment and Access (AI4HI@LREC), 2020. [Paper]