Bhushan Kotnis

According to our database, Bhushan Kotnis authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision.

Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

What Makes a Good Paraphrase: Do Automated Evaluations Work?

Anna Moskvina, Bhushan Kotnis, Chris Catacata, Michael Janz, Nasrin Saef

CoRR, 2023

2022

Human-Centric Research for NLP: Towards a Definition and Guiding Questions.

Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu

CoRR, 2022

A Human-Centric Assessment Framework for AI.

Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence

CoRR, 2022

MILIE: Modular & Iterative Multilingual Open Information Extraction.

Bhushan Kotnis, Kiril Gashteovski, Daniel Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

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

BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens.

Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert

CoRR, 2021

Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders.

Bhushan Kotnis, Carolin Lawrence, Mathias Niepert

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

On Aligning OpenIE Extractions with Knowledge Bases: A Case Study.

Kiril Gashteovski, Rainer Gemulla, Bhushan Kotnis, Sven Hertling, Christian Meilicke

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

2019

Abstract Graphs and Abstract Paths for Knowledge Graph Completion.

Vivi Nastase, Bhushan Kotnis

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Attending to Future Tokens for Bidirectional Sequence Generation.

Carolin Lawrence, Bhushan Kotnis, Mathias Niepert

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Numerical Attributes in Knowledge Bases.

Bhushan Kotnis, Alberto García-Durán

Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2017

Incentivized Campaigning in Social Networks.

Bhushan Kotnis, Albert Sunny, Joy Kuri

IEEE/ACM Trans. Netw., 2017

Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs.

Bhushan Kotnis, Vivi Nastase

CoRR, 2017

Learning Knowledge Graph Embeddings with Type Regularizer.

Bhushan Kotnis, Vivi Nastase

Proceedings of the Knowledge Capture Conference, 2017

2016

Cost Effective Campaigning in Social Networks.

Bhushan Kotnis, Joy Kuri

CoRR, 2016

Urban monitoring using participatory sensing: An optimal budget allocation approach.

Siddhartha Sarma, Kundan Kandhway, Bhushan Kotnis, Joy Kuri

Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

Game theoretic analysis of tree based referrals for crowd sensing social systems with passive rewards.

Kundan Kandhway, Bhushan Kotnis

Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

2015

Knowledge Base Inference using Bridging Entities.

Bhushan Kotnis, Pradeep Bansal, Partha P. Talukdar

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Cost Effective Rumor Containment in Social Networks.

Bhushan Kotnis, Joy Kuri

CoRR, 2014