Bhushan Kotnis

30 papers A* 2B 1Misc 2Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction.
CoRR
Makoto Takamoto, Daniel Oñoro-Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis
2025 J jnl
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction.
Trans. Mach. Learn. Res.
Makoto Takamoto, Daniel Oñoro-Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis
2024 — conf
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision.
ECML/PKDD (5)
Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew
2023 J jnl
What Makes a Good Paraphrase: Do Automated Evaluations Work?
CoRR
Anna Moskvina, Bhushan Kotnis, Chris Catacata, Michael Janz, Nasrin Saef
2022 J jnl
A Human-Centric Assessment Framework for AI.
CoRR
Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence
2022 — conf
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark.
ACL (demo)
Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2022 — conf
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation.
ACL (1)
Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2022 J jnl
Human-Centric Research for NLP: Towards a Definition and Guiding Questions.
CoRR
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu
2022 — conf
MILIE: Modular & Iterative Multilingual Open Information Extraction.
ACL (1)
Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
2021 J jnl
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark.
CoRR
Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2021 A* conf
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders.
AAAI
Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
2021 J jnl
BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens.
CoRR
Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert
2021 J jnl
Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction.
CoRR
Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert
2020 J jnl
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders.
CoRR
Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
2020 — conf
On Aligning OpenIE Extractions with Knowledge Bases: A Case Study.
Eval4NLP
Kiril Gashteovski, Rainer Gemulla, Bhushan Kotnis, Sven Hertling, Christian Meilicke
2019 — conf
Abstract Graphs and Abstract Paths for Knowledge Graph Completion.
*SEM@NAACL-HLT
Vivi Nastase, Bhushan Kotnis
2019 J jnl
Attending to Future Tokens For Bidirectional Sequence Generation.
CoRR
Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
2019 — conf
Attending to Future Tokens for Bidirectional Sequence Generation.
EMNLP/IJCNLP (1)
Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
2019 — conf
Learning Numerical Attributes in Knowledge Bases.
AKBC
Bhushan Kotnis, Alberto García-Durán
2017 J jnl
Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs.
CoRR
Bhushan Kotnis, Vivi Nastase
2017 J jnl
Incentivized Campaigning in Social Networks.
IEEE/ACM Trans. Netw.
Bhushan Kotnis, Albert Sunny, Joy Kuri
2017 B conf
Learning Knowledge Graph Embeddings with Type Regularizer.
K-CAP
Bhushan Kotnis, Vivi Nastase
2017 J jnl
Learning Knowledge Graph Embeddings with Type Regularizer.
CoRR
Bhushan Kotnis, Vivi Nastase
2016 J jnl
Cost Effective Campaigning in Social Networks.
CoRR
Bhushan Kotnis, Joy Kuri
2016 J jnl
Game Theoretic Analysis of Tree Based Referrals for Crowd Sensing Social Systems with Passive Rewards.
CoRR
Kundan Kandhway, Bhushan Kotnis
2016 Misc conf
Game theoretic analysis of tree based referrals for crowd sensing social systems with passive rewards.
COMSNETS
Kundan Kandhway, Bhushan Kotnis
2016 J jnl
Incentivized Campaigning in Social Networks.
CoRR
Bhushan Kotnis, Albert Sunny, Joy Kuri
2016 Misc conf
Urban monitoring using participatory sensing: An optimal budget allocation approach.
COMSNETS
Siddhartha Sarma, Kundan Kandhway, Bhushan Kotnis, Joy Kuri
2015 A* conf
Knowledge Base Inference using Bridging Entities.
EMNLP
Bhushan Kotnis, Pradeep Bansal, Partha P. Talukdar
2014 J jnl
Cost Effective Rumor Containment in Social Networks.
CoRR
Bhushan Kotnis, Joy Kuri