Bhushan Kotnis

Orcid: 0000-0002-8683-0675

According to our database1, Bhushan Kotnis authored at least 21 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
What Makes a Good Paraphrase: Do Automated Evaluations Work?
CoRR, 2023

2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions.
CoRR, 2022

A Human-Centric Assessment Framework for AI.
CoRR, 2022

MILIE: Modular & Iterative Multilingual Open Information Extraction.
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.
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.
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.
CoRR, 2021

BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens.
CoRR, 2021

Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
On Aligning OpenIE Extractions with Knowledge Bases: A Case Study.
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

2019
Abstract Graphs and Abstract Paths for Knowledge Graph Completion.
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Attending to Future Tokens for Bidirectional Sequence Generation.
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.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2017
Incentivized Campaigning in Social Networks.
IEEE/ACM Trans. Netw., 2017

Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs.
CoRR, 2017

Learning Knowledge Graph Embeddings with Type Regularizer.
Proceedings of the Knowledge Capture Conference, 2017

2016
Cost Effective Campaigning in Social Networks.
CoRR, 2016

Urban monitoring using participatory sensing: An optimal budget allocation approach.
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.
Proceedings of the 8th International Conference on Communication Systems and Networks, 2016

2015
Knowledge Base Inference using Bridging Entities.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Cost Effective Rumor Containment in Social Networks.
CoRR, 2014


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