Cost Effective Rumor Containment in Social Networks. - Bhushan Kotnis; Joy Kuri (CoRR, 2014)

Knowledge Base Inference using Bridging Entities. - Bhushan Kotnis; Pradeep Bansal; Partha P. Talukdar (EMNLP, 2015)

Game theoretic analysis of tree based referrals for crowd sensing social systems with passive rewards. - Kundan Kandhway; Bhushan Kotnis (COMSNETS, 2016)

Urban monitoring using participatory sensing: An optimal budget allocation approach. - Siddhartha Sarma; Kundan Kandhway; Bhushan Kotnis; Joy Kuri (COMSNETS, 2016)

Cost Effective Campaigning in Social Networks. - Bhushan Kotnis; Joy Kuri (CoRR, 2016)

Learning Knowledge Graph Embeddings with Type Regularizer. - Bhushan Kotnis; Vivi Nastase (K-CAP, 2017)

Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs. - Bhushan Kotnis; Vivi Nastase (CoRR, 2017)

Incentivized Campaigning in Social Networks. - Bhushan Kotnis; Albert Sunny; Joy Kuri (IEEE/ACM Trans. Netw., 2017)

Learning Numerical Attributes in Knowledge Bases. - Bhushan Kotnis; Alberto García-Durán (AKBC, 2019)

Attending to Future Tokens for Bidirectional Sequence Generation. - Carolin Lawrence; Bhushan Kotnis; Mathias Niepert (EMNLP/IJCNLP (1), 2019)

Abstract Graphs and Abstract Paths for Knowledge Graph Completion. - Vivi Nastase; Bhushan Kotnis (*SEM@NAACL-HLT, 2019)

On Aligning OpenIE Extractions with Knowledge Bases: A Case Study. - Kiril Gashteovski; Rainer Gemulla; Bhushan Kotnis; Sven Hertling; Christian Meilicke (Eval4NLP, 2020)

Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. - Bhushan Kotnis; Carolin Lawrence; Mathias Niepert (AAAI, 2021)

BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens. - Kiril Gashteovski; Mingying Yu; Bhushan Kotnis; Carolin Lawrence; Goran Glavas; Mathias Niepert (CoRR, 2021)

Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. - Bhushan Kotnis; Kiril Gashteovski; Carolin Lawrence; Daniel Oñoro-Rubio; Vanesa Rodriguez-Tembras; Makoto Takamoto; Mathias Niepert (CoRR, 2021)

AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. - Niklas Friedrich; Kiril Gashteovski; Mingying Yu; Bhushan Kotnis; Carolin Lawrence; Mathias Niepert; Goran Glavas (ACL (demo), 2022)

BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. - Kiril Gashteovski; Mingying Yu; Bhushan Kotnis; Carolin Lawrence; Mathias Niepert; Goran Glavas (ACL (1), 2022)

MILIE: Modular & Iterative Multilingual Open Information Extraction. - Bhushan Kotnis; Kiril Gashteovski; Daniel Oñoro-Rubio; Ammar Shaker; Vanesa Rodriguez-Tembras; Makoto Takamoto; Mathias Niepert; Carolin Lawrence (ACL (1), 2022)

A Human-Centric Assessment Framework for AI. - Sascha Saralajew; Ammar Shaker; Zhao Xu 001; Kiril Gashteovski; Bhushan Kotnis; Wiem Ben Rim; Jürgen Quittek; Carolin Lawrence (CoRR, 2022)

Human-Centric Research for NLP: Towards a Definition and Guiding Questions. - Bhushan Kotnis; Kiril Gashteovski; Julia Gastinger; Giuseppe Serra 002; Francesco Alesiani; Timo Sztyler; Ammar Shaker; Na Gong; Carolin Lawrence; Zhao Xu 001 (CoRR, 2022)

What Makes a Good Paraphrase: Do Automated Evaluations Work? - Anna Moskvina; Bhushan Kotnis; Chris Catacata; Michael Janz; Nasrin Saef (CoRR, 2023)

A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision. - Wiem Ben Rim; Ammar Shaker; Zhao Xu 001; Kiril Gashteovski; Bhushan Kotnis; Carolin Lawrence; Jürgen Quittek; Sascha Saralajew (ECML/PKDD (5), 2024)

Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction. - Makoto Takamoto; Daniel Oñoro-Rubio; Wiem Ben Rim; Takashi Maruyama; Bhushan Kotnis (Trans. Mach. Learn. Res., 2025)