Shikhar Vashishth

According to our database1, Shikhar Vashishth authored at least 21 papers between 2016 and 2021.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets.
J. Biomed. Informatics, 2021

Knowledge-Rich Self-Supervised Entity Linking.
CoRR, 2021

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues.
Proceedings of the 9th International Conference on Learning Representations, 2021

Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
MedType: Improving Medical Entity Linking with Semantic Type Prediction.
CoRR, 2020

Composition-based Multi-Relational Graph Convolutional Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Graph-based Deep Learning in Natural Language Processing.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

A Re-evaluation of Knowledge Graph Completion Methods.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Neural Graph Embedding Methods for Natural Language Processing.
CoRR, 2019

Attention Interpretability Across NLP Tasks.
CoRR, 2019

Lovasz Convolutional Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Confidence-based Graph Convolutional Networks for Semi-Supervised Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Graph Convolutional Networks based Word Embeddings.
CoRR, 2018

CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Dating Documents using Graph Convolution Networks.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Meticulous Measurement of Control Packets in SDN.
Proceedings of the Symposium on SDN Research, 2017

2016
Addressing Challenges in Browser Based P2P Content Sharing Framework Using WebRTC.
Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications, 2016


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