When it's all piling up: investigating error propagation in an NLP pipeline. - Tommaso Caselli; Piek Vossen; Marieke van Erp; Antske Fokkens; Filip Ilievski; Rubén Izquierdo; Minh Le; Roser Morante; Marten Postma (WNACP@NLDB, 2015)

Missing Mr. Brown and Buying an Abraham Lincoln - Dark Entities and DBpedia. - Marieke van Erp; Filip Ilievski; Marco Rospocher; Piek Vossen (NLP-DBPEDIA@ISWC, 2015)

LOTUS: Linked Open Text UnleaShed. - Filip Ilievski; Wouter Beek; Marieke van Erp; Laurens Rietveld; Stefan Schlobach (COLD, 2015)

Semantic overfitting: what 'world' do we consider when evaluating disambiguation of text? - Filip Ilievski; Marten Postma; Piek Vossen (COLING, 2016)

LOTUS: Adaptive Text Search for Big Linked Data. - Filip Ilievski; Wouter Beek; Marieke van Erp; Laurens Rietveld; Stefan Schlobach (ESWC, 2016)

Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job. - Marieke van Erp; Pablo N. Mendes; Heiko Paulheim; Filip Ilievski; Julien Plu; Giuseppe Rizzo 002; Jörg Waitelonis (LREC, 2016)

Context-enhanced Adaptive Entity Linking. - Filip Ilievski; Giuseppe Rizzo 002; Marieke van Erp; Julien Plu; Raphaël Troncy (LREC, 2016)

LOD Lab: Scalable Linked Data Processing. - Wouter Beek; Laurens Rietveld; Filip Ilievski; Stefan Schlobach (RW, 2016)

The Predicate Matrix and the Event and Implied Situation Ontology: Making More of Events. - Roxane Segers; Egoitz Laparra; Marco Rospocher; Piek Vossen; German Rigau; Filip Ilievski (GWC, 2016)

Hunger for Contextual Knowledge and a Road Map to Intelligent Entity Linking. - Filip Ilievski; Piek Vossen; Marieke van Erp (LDK, 2017)

Systematic Study of Long Tail Phenomena in Entity Linking. - Filip Ilievski; Piek Vossen; Stefan Schlobach (COLING, 2018)

Don't Annotate, but Validate: a Data-to-Text Method for Capturing Event Data. - Piek Vossen; Filip Ilievski; Marten Postma; Roxane Segers (LREC, 2018)

SemEval-2018 Task 5: Counting Events and Participants in the Long Tail. - Marten Postma; Filip Ilievski; Piek Vossen (SemEval@NAACL-HLT, 2018)

ReferenceNet: a semantic-pragmatic network for capturing reference relations. - Piek Vossen; Filip Ilievski; Marten Postrma (GWC, 2018)

The Profiling Machine: Active Generalization over Knowledge. - Filip Ilievski; Eduard H. Hovy; Qizhe Xie; Piek Vossen (CoRR, 2018)

Literally better: Analyzing and improving the quality of literals. - Wouter Beek; Filip Ilievski; Jeremy Debattista; Stefan Schlobach; Jan Wielemaker (Semantic Web, 2018)

Identity of Long-tail Entities in Text - Filip Ilievski (IOS Press, 2019)

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. - Peifeng Wang; Nanyun Peng 001; Filip Ilievski; Pedro A. Szekely; Xiang Ren 001 (EMNLP (Findings), 2020)

Large-scale Cross-lingual Language Resources for Referencing and Framing. - Piek Vossen; Filip Ilievski; Marten Postma; Antske Fokkens; Gosse Minnema; Levi Remijnse (LREC, 2020)

KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis. - Filip Ilievski; Daniel Garijo; Hans Chalupsky; Naren Teja Divvala; Yixiang Yao; Craig Milo Rogers; Ronpeng Li; Jun Liu; Amandeep Singh; Daniel Schwabe 001; Pedro A. Szekely (ISWC (2), 2020)

Commonsense Knowledge in Wikidata. - Filip Ilievski; Pedro A. Szekely; Daniel Schwabe 001 (Wikidata@ISWC, 2020)

Consolidating Commonsense Knowledge. - Filip Ilievski; Pedro A. Szekely; Jingwei Cheng; Fu Zhang 001; Ehsan Qasemi (CoRR, 2020)

Knowledge-driven Self-supervision for Zero-shot Commonsense Question Answering. - Kaixin Ma; Filip Ilievski; Jonathan Francis; Yonatan Bisk; Eric Nyberg; Alessandro Oltramari (CoRR, 2020)

The role of knowledge in determining identity of long-tail entities. - Filip Ilievski; Eduard H. Hovy; Piek Vossen; Stefan Schlobach; Qizhe Xie (J. Web Semant., 2020)

Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering. - Kaixin Ma; Filip Ilievski; Jonathan Francis; Yonatan Bisk; Eric Nyberg; Alessandro Oltramari (AAAI, 2021)

Do Language Models Perform Generalizable Commonsense Inference? - Peifeng Wang; Filip Ilievski; Muhao Chen 001; Xiang Ren 001 (ACL/IJCNLP (Findings), 2021)

Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models. - Kaixin Ma; Filip Ilievski; Jonathan Francis; Satoru Ozaki; Eric Nyberg; Alessandro Oltramari (EMNLP (1), 2021)

Numeracy enhances the Literacy of Language Models. - Avijit Thawani; Jay Pujara; Filip Ilievski (EMNLP (1), 2021)

Demo: Knowledge Graph-Based Housing Market Analysis. - Ziping Hu; Zepei Zhao; Mohammad Rostami; Filip Ilievski; Basel Shbita (KGCW@ESWC, 2021)

CSKG: The CommonSense Knowledge Graph. - Filip Ilievski; Pedro A. Szekely; Bin Zhang (ESWC, 2021)

Open Drug Knowledge Graph. - Mark Mann; Filip Ilievski; Mohammad Rostami; Aastha; Basel Shbita (KGCW@ESWC, 2021)

Generating Explainable Abstractions for Wikidata Entities. - Nicholas Klein; Filip Ilievski; Pedro A. Szekely (K-CAP, 2021)

Analyzing Race and Citizenship Bias in Wikidata. - Zaina Shaik; Filip Ilievski; Fred Morstatter (MASS, 2021)

Representing Numbers in NLP: a Survey and a Vision. - Avijit Thawani; Jay Pujara; Filip Ilievski; Pedro A. Szekely (NAACL-HLT, 2021)

Creating and Querying Personalized Versions of Wikidata on a Laptop. - Hans Chalupsky; Pedro A. Szekely; Filip Ilievski; Daniel Garijo; Kartik Shenoy (Wikidata@ISWC, 2021)

User-friendly Comparison of Similarity Algorithms on Wikidata. - Filip Ilievski; Pedro A. Szekely; Gleb Satyukov; Amandeep Singh (Wikidata@ISWC, 2021)

CoreQuisite: Circumstantial Preconditions of Common Sense Knowledge. - Ehsan Qasemi; Filip Ilievski; Muhao Chen 001; Pedro A. Szekely (CoRR, 2021)

Analyzing Race and Country of Citizenship Bias in Wikidata. - Zaina Shaik; Filip Ilievski; Fred Morstatter (CoRR, 2021)

Dimensions of commonsense knowledge. - Filip Ilievski; Alessandro Oltramari; Kaixin Ma; Bin Zhang; Deborah L. McGuinness; Pedro A. Szekely (Knowl. Based Syst., 2021)

Generalizable Neuro-Symbolic Systems for Commonsense Question Answering. - Alessandro Oltramari; Jonathan Francis; Filip Ilievski; Kaixin Ma; Roshanak Mirzaee (Neuro-Symbolic Artificial Intelligence, 2021)

A Study of Zero-shot Adaptation with Commonsense Knowledge. - Jiarui Zhang 002; Filip Ilievski; Kaixin Ma; Jonathan Francis; Alessandro Oltramari (AKBC, 2022)

Coalescing Global and Local Information for Procedural Text Understanding. - Kaixin Ma; Filip Ilievski; Jonathan Francis; Eric Nyberg; Alessandro Oltramari (COLING, 2022)

PaCo: Preconditions Attributed to Commonsense Knowledge. - Ehsan Qasemi; Filip Ilievski; Muhao Chen 001; Pedro A. Szekely (EMNLP (Findings), 2022)

Contextualized Scene Imagination for Generative Commonsense Reasoning. - Peifeng Wang; Jonathan Zamora; Junfeng Liu; Filip Ilievski; Muhao Chen 001; Xiang Ren 001 (ICLR, 2022)

Augmenting Knowledge Graphs for Better Link Prediction. - Jiang Wang; Filip Ilievski; Pedro A. Szekely; Ke-Thia Yao (IJCAI, 2022)

Does Wikidata Support Analogical Reasoning? - Filip Ilievski; Jay Pujara; Kartik Shenoy (KGSWC, 2022)

Identifying Surprising Facts in Wikidata. - Nicholas Klein; Filip Ilievski; Hayden Freedman; Pedro A. Szekely (Wikidata@ISWC, 2022)

Enriching Wikidata with Linked Open Data. - Bohui Zhang; Filip Ilievski; Pedro A. Szekely (Wikidata@ISWC, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs. - Jiarui Zhang 002; Filip Ilievski; Kaixin Ma; Jonathan Francis; Alessandro Oltramari (CoRR, 2022)

Understanding Narratives through Dimensions of Analogy. - Thiloshon Nagarajah; Filip Ilievski; Jay Pujara (CoRR, 2022)

Multimodal and Explainable Internet Meme Classification. - Abhinav Kumar Thakur; Filip Ilievski; Hông-Ân Sandlin; Alain Mermoud; Zhivar Sourati; Luca Luceri; Riccardo Tommasini 001 (CoRR, 2022)

A Study of Slang Representation Methods. - Aravinda Kolla; Filip Ilievski; Hông-Ân Sandlin; Alain Mermoud (CoRR, 2022)

Utilizing Background Knowledge for Robust Reasoning over Traffic Situations. - Jiarui Zhang 002; Filip Ilievski; Aravinda Kollaa; Jonathan Francis; Kaixin Ma; Alessandro Oltramari (CoRR, 2022)

Where Does Bias in Common Sense Knowledge Models Come From? - Sara Melotte; Filip Ilievski; Linglan Zhang; Aditya Malte; Namita Mutha; Fred Morstatter; Ninareh Mehrabi (IEEE Internet Comput., 2022)

A study of the quality of Wikidata. - Kartik Shenoy; Filip Ilievski; Daniel Garijo; Daniel Schwabe 001; Pedro A. Szekely (J. Web Semant., 2022)

Transferring Procedural Knowledge Across Commonsense Tasks. - Yifan Jiang 001; Filip Ilievski; Kaixin Ma (ECAI, 2023)

BRAINTEASER: Lateral Thinking Puzzles for Large Language Models. - Yifan Jiang 001; Filip Ilievski; Kaixin Ma; Zhivar Sourati (EMNLP, 2023)

IMKG: The Internet Meme Knowledge Graph. - Riccardo Tommasini 001; Filip Ilievski; Thilini Wijesiriwardene (ESWC, 2023)

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. - Peifeng Wang; Aaron Chan; Filip Ilievski; Muhao Chen 001; Xiang Ren 001 (ICLR, 2023)

Case-Based Reasoning with Language Models for Classification of Logical Fallacies. - Zhivar Sourati; Filip Ilievski; Hông-Ân Sandlin; Alain Mermoud (IJCAI, 2023)

Knowledge-enhanced Agents for Interactive Text Games. - Prateek Chhikara; Jiarui Zhang 002; Filip Ilievski; Jonathan Francis; Kaixin Ma (K-CAP, 2023)

A Study of Situational Reasoning for Traffic Understanding. - Jiarui Zhang 002; Filip Ilievski; Kaixin Ma; Aravinda Kollaa; Jonathan Francis; Alessandro Oltramari (KDD, 2023)

Generalizable Neuro-Symbolic Systems for Commonsense Question Answering. - Alessandro Oltramari; Jonathan Francis; Filip Ilievski; Kaixin Ma; Roshanak Mirzaee (NeSy, 2023)

Explainable Classification of Internet Memes. - Abhinav Kumar Thakur; Filip Ilievski; Hông-Ân Sandlin; Zhivar Sourati; Luca Luceri; Riccardo Tommasini 001; Alain Mermoud (NeSy, 2023)

Comparison of Knowledge Graph Representations for Consumer Scenarios. - Ana Iglesias-Molina; Kian Ahrabian; Filip Ilievski; Jay Pujara; Óscar Corcho (ISWC, 2023)

Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models. - Jiarui Zhang 002; Mahyar Khayatkhoei; Prateek Chhikara; Filip Ilievski (CoRR, 2023)

Identifying and Consolidating Knowledge Engineering Requirements. - Bradley P. Allen; Filip Ilievski; Saurav Joshi (CoRR, 2023)

ARN: A Comprehensive Framework and Dataset for Analogical Reasoning on Narratives. - Zhivar Sourati; Filip Ilievski; Pia Sommerauer (CoRR, 2023)

Visual Cropping Improves Zero-Shot Question Answering of Multimodal Large Language Models. - Jiarui Zhang 002; Mahyar Khayatkhoei; Prateek Chhikara; Filip Ilievski (CoRR, 2023)

Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models. - Filip Ilievski; Kaixin Ma; Alessandro Oltramari; Peifeng Wang; Jay Pujara (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Robust and explainable identification of logical fallacies in natural language arguments. - Zhivar Sourati; Vishnu Priya Prasanna Venkatesh; Darshan Deshpande; Himanshu Rawlani; Filip Ilievski; Hông-Ân Sandlin; Alain Mermoud (Knowl. Based Syst., 2023)

Knowledge-Powered Recommendation for an Improved Diet Water Footprint. - Saurav Joshi; Filip Ilievski; Jay Pujara (AAAI, 2024)

Robust Text Classification: Analyzing Prototype-Based Networks. - Zhivar Sourati; Darshan Deshpande; Filip Ilievski; Kiril Gashteovski; Sascha Saralajew (EMNLP (Findings), 2024)

First International Workshop on Generative Neuro-Symbolic AI (GeNeSy 2024). - Filip Ilievski; Jacopo de Berardinis; Jongmo Kim; Nitisha Jain (ESWC Workshops, 2024)

Contextualizing Argument Quality Assessment with Relevant Knowledge. - Darshan Deshpande; Zhivar Sourati; Filip Ilievski; Fred Morstatter (NAACL (Short Papers), 2024)

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. - Yifan Jiang 001; Jiarui Zhang 002; Kexuan Sun 002; Zhivar Sourati; Kian Ahrabian; Kaixin Ma; Filip Ilievski; Jay Pujara (NeurIPS, 2024)

SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense. - Yifan Jiang 001; Filip Ilievski; Kaixin Ma (SemEval@NAACL, 2024)

FIRE: Food Image to REcipe generation. - Prateek Chhikara; Dhiraj Chaurasia; Yifan Jiang 001; Omkar Masur; Filip Ilievski (WACV, 2024)

Contextualizing Internet Memes Across Social Media Platforms. - Saurav Joshi; Filip Ilievski; Luca Luceri (WWW (Companion Volume), 2024)

Exploring Perceptual Limitation of Multimodal Large Language Models. - Jiarui Zhang 002; Jinyi Hu; Mahyar Khayatkhoei; Filip Ilievski; Maosong Sun 001 (CoRR, 2024)

Aligning Generalisation Between Humans and Machines. - Filip Ilievski; Barbara Hammer; Frank van Harmelen; Benjamin Paassen; Sascha Saralajew; Ute Schmid; Michael Biehl; Marianna Bolognesi; Xin Luna Dong; Kiril Gashteovski; Pascal Hitzler; Giuseppe Marra; et al. (CoRR, 2024)

Generalization by People and Machines (Dagstuhl Seminar 24192). - Barbara Hammer; Filip Ilievski; Sascha Saralajew; Frank van Harmelen (Dagstuhl Reports, 2024)

A study of concept similarity in Wikidata. - Filip Ilievski; Kartik Shenoy; Hans Chalupsky; Nicholas Klein; Pedro A. Szekely (Semantic Web, 2024)

ARN: Analogical Reasoning on Narratives. - Zhivar Sourati; Filip Ilievski; Pia Sommerauer; Yifan Jiang 001 (Trans. Assoc. Comput. Linguistics, 2024)

Standardizing Knowledge Engineering Practices with a Reference Architecture. - Bradley P. Allen; Filip Ilievski (TGDK, 2024)

COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes. - Koen Kraaijveld; Yifan Jiang 001; Kaixin Ma; Filip Ilievski (AAAI, 2025)

Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning. - Huabin Liu 001; Filip Ilievski; Cees G. M. Snoek (CVPR, 2025)

MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs. - Jiarui Zhang 002; Mahyar Khayatkhoei; Prateek Chhikara; Filip Ilievski (ICLR, 2025)

Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity. - Tygo Bloem; Filip Ilievski (ICWSM, 2025)

Investigating the Robustness of Deductive Reasoning with Large Language Models. - Fabian Hoppe 001; Filip Ilievski; Jan-Christoph Kalo (CoRR, 2025)

Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations. - Bradley P. Allen; Prateek Chhikara; Thomas Macaulay Ferguson; Filip Ilievski; Paul Groth (CoRR, 2025)

ORBIT: An Object Property Reasoning Benchmark for Visual Inference Tasks. - Abhishek Kolari; Mohammadhossein Khojasteh; Yifan Jiang 001; Floris den Hengst; Filip Ilievski (CoRR, 2025)