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ORCIDBhushan Kotnis
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2020 – today
- 2024
[c13]Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew:
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision. ECML/PKDD (5) 2024: 20-37- 2023
- [i14]Anna Moskvina, Bhushan Kotnis, Chris Catacata, Michael Janz, Nasrin Saef:
What Makes a Good Paraphrase: Do Automated Evaluations Work? CoRR abs/2307.14818 (2023) - 2022
- [c12]Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas:
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. ACL (demo) 2022: 44-60 - [c11]Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas:
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. ACL (1) 2022: 4472-4490 - [c10]Bhushan Kotnis, Kiril Gashteovski, Daniel Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence:
MILIE: Modular & Iterative Multilingual Open Information Extraction. ACL (1) 2022: 6939-6950 - [i13]Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence:
A Human-Centric Assessment Framework for AI. CoRR abs/2205.12749 (2022) - [i12]Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu:
Human-Centric Research for NLP: Towards a Definition and Guiding Questions. CoRR abs/2207.04447 (2022) - 2021
- [c9]Bhushan Kotnis, Carolin Lawrence, Mathias Niepert:
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. AAAI 2021: 4968-4977 - [i11]Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert:
BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens. CoRR abs/2109.06850 (2021) - [i10]Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas:
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. CoRR abs/2109.07464 (2021) - [i9]Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert:
Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. CoRR abs/2110.08144 (2021) - 2020
- [c8]Kiril Gashteovski, Rainer Gemulla
, Bhushan Kotnis, Sven Hertling, Christian Meilicke:
On Aligning OpenIE Extractions with Knowledge Bases: A Case Study. Eval4NLP 2020: 143-154 - [i8]Bhushan Kotnis, Carolin Lawrence, Mathias Niepert:
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. CoRR abs/2004.02596 (2020)
2010 – 2019
- 2019
- [c7]Bhushan Kotnis, Alberto García-Durán:
Learning Numerical Attributes in Knowledge Bases. AKBC 2019 - [c6]Carolin Lawrence, Bhushan Kotnis, Mathias Niepert:
Attending to Future Tokens for Bidirectional Sequence Generation. EMNLP/IJCNLP (1) 2019: 1-10 - [c5]Vivi Nastase, Bhushan Kotnis:
Abstract Graphs and Abstract Paths for Knowledge Graph Completion. *SEM@NAACL-HLT 2019: 147-157 - [i7]Carolin Lawrence, Bhushan Kotnis, Mathias Niepert:
Attending to Future Tokens For Bidirectional Sequence Generation. CoRR abs/1908.05915 (2019) - 2017
- [j1]Bhushan Kotnis, Albert Sunny, Joy Kuri:
Incentivized Campaigning in Social Networks. IEEE/ACM Trans. Netw. 25(3): 1621-1634 (2017) - [c4]Bhushan Kotnis, Vivi Nastase:
Learning Knowledge Graph Embeddings with Type Regularizer. K-CAP 2017: 19:1-19:4 - [i6]Bhushan Kotnis, Vivi Nastase:
Learning Knowledge Graph Embeddings with Type Regularizer. CoRR abs/1706.09278 (2017) - [i5]Bhushan Kotnis, Vivi Nastase:
Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs. CoRR abs/1708.06816 (2017) - 2016
- [c3]Kundan Kandhway, Bhushan Kotnis:
Game theoretic analysis of tree based referrals for crowd sensing social systems with passive rewards. COMSNETS 2016: 1-6 - [c2]Siddhartha Sarma, Kundan Kandhway, Bhushan Kotnis, Joy Kuri:
Urban monitoring using participatory sensing: An optimal budget allocation approach. COMSNETS 2016: 1-6 - [i4]Kundan Kandhway, Bhushan Kotnis:
Game Theoretic Analysis of Tree Based Referrals for Crowd Sensing Social Systems with Passive Rewards. CoRR abs/1601.07505 (2016) - [i3]Bhushan Kotnis, Albert Sunny, Joy Kuri:
Incentivized Campaigning in Social Networks. CoRR abs/1606.05179 (2016) - [i2]Bhushan Kotnis, Joy Kuri:
Cost Effective Campaigning in Social Networks. CoRR abs/1606.05209 (2016) - 2015
- [c1]Bhushan Kotnis, Pradeep Bansal, Partha P. Talukdar:
Knowledge Base Inference using Bridging Entities. EMNLP 2015: 2038-2043 - 2014
- [i1]Bhushan Kotnis, Joy Kuri:
Cost Effective Rumor Containment in Social Networks. CoRR abs/1403.6315 (2014)
Coauthor Index
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