61 citations · 107 across the 16 of their papers we have counts for
17 papers
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
Makoto Takamoto, Daniel Oñoro-Rubio, Wiem Ben Rim +2
Knowledge graph embedding (KGE) models encode the structural information of knowledge graphs to predicting new links. Effective training of these models requires distinguishing bet…
What Makes a Good Paraphrase: Do Automated Evaluations Work?
Anna Moskvina, Bhushan Kotnis, Chris Catacata +2
Paraphrasing is the task of expressing an essential idea or meaning in different words. But how different should the words be in order to be considered an acceptable paraphrase? An…
Human-Centric Research for NLP: Towards a Definition and Guiding Questions
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger +7
With Human-Centric Research (HCR) we can steer research activities so that the research outcome is beneficial for human stakeholders, such as end users. But what exactly makes rese…
A Human-Centric Assessment Framework for AI
Sascha Saralajew, Ammar Shaker, Zhao Xu +5
With the rise of AI systems in real-world applications comes the need for reliable and trustworthy AI. An essential aspect of this are explainable AI systems. However, there is no…
milIE: Modular & Iterative Multilingual Open Information Extraction
Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro Rubio +5
Open Information Extraction (OpenIE) is the task of extracting (subject, predicate, object) triples from natural language sentences. Current OpenIE systems extract all triple slots…
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark
Niklas Friedrich, Kiril Gashteovski, Mingying Yu +4
Open Information Extraction (OIE) is the task of extracting facts from sentences in the form of relations and their corresponding arguments in schema-free manner. Intrinsic perform…
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
Kiril Gashteovski, Mingying Yu, Bhushan Kotnis +3
Intrinsic evaluations of OIE systems are carried out either manually -- with human evaluators judging the correctness of extractions -- or automatically, on standardized benchmarks…
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
Representation learning for knowledge graphs (KGs) has focused on the problem of answering simple link prediction queries. In this work we address the more ambitious challenge of p…
Attending to Future Tokens For Bidirectional Sequence Generation
Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
Neural sequence generation is typically performed token-by-token and left-to-right. Whenever a token is generated only previously produced tokens are taken into consideration. In c…
Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs
Bhushan Kotnis, Vivi Nastase
Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective struc…
Learning Knowledge Graph Embeddings with Type Regularizer
Bhushan Kotnis, Vivi Nastase
Learning relations based on evidence from knowledge bases relies on processing the available relation instances. Many relations, however, have clear domain and range, which we hypo…
Cost Effective Campaigning in Social Networks
Bhushan Kotnis, Joy Kuri
Campaigners are increasingly using online social networking platforms for promoting products, ideas and information. A popular method of promoting a product or even an idea is ince…
Incentivized Campaigning in Social Networks
Bhushan Kotnis, Albert Sunny, Joy Kuri
Campaigners, advertisers and activists are increasingly turning to social recommendation mechanisms, provided by social media, for promoting their products, services, brands and ev…
Game Theoretic Analysis of Tree Based Referrals for Crowd Sensing Social Systems with Passive Rewards
Kundan Kandhway, Bhushan Kotnis
Participatory crowd sensing social systems rely on the participation of large number of individuals. Since humans are strategic by nature, effective incentive mechanisms are needed…
Percolation on Networks with Antagonistic and Dependent Interactions
Bhushan Kotnis, Joy Kuri
Drawing inspiration from real world interacting systems we study a system consisting of two networks that exhibit antagonistic and dependent interactions. By antagonistic and depen…
Cost Effective Rumor Containment in Social Networks
Bhushan Kotnis, Joy Kuri
The spread of rumors through social media and online social networks can not only disrupt the daily lives of citizens but also result in loss of life and property. A rumor spreads…
Evaluating the Usefulness of Paratransgenesis for Malaria Control
Bhushan Kotnis, Joy Kuri
Malaria is a serious global health problem which is especially devastating to the developing world. Mosquitoes are the carriers of the parasite responsible for the disease, and hen…