no code implementations • 1 Mar 2024 • Nurendra Choudhary, Edward W Huang, Karthik Subbian, Chandan K. Reddy
This lack of interpretability hinders the development and adoption of new techniques in the field.
1 code implementation • 2 May 2023 • Nurendra Choudhary, Chandan K. Reddy
Reasoning over knowledge graphs (KGs) is a challenging task that requires a deep understanding of the complex relationships between entities and the underlying logic of their relations.
no code implementations • 6 Jul 2022 • Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
In TESH-GCN, we extract semantic node information, which successively acts as a connection signal to extract relevant nodes' local neighborhood and graph-level metapath features from the sparse adjacency tensor in a reformulated hyperbolic graph convolution layer.
1 code implementation • 9 Jun 2022 • Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
Such an approach enables us to propose a hyperbolic normalization layer and to further simplify the entire hyperbolic model to a Euclidean model cascaded with our hyperbolic normalization layer.
no code implementations • 7 Jun 2022 • Nurendra Choudhary, Chandan K. Reddy
However, their adoption in practice remains restricted due to (i) non-scalability on accelerated deep learning hardware, (ii) vanishing gradients due to the closure of hyperbolic space, and (iii) information loss due to frequent mapping between local tangent space and fully hyperbolic space.
1 code implementation • NeurIPS 2021 • Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Current approaches employ spatial geometries such as boxes to learn query representations that encompass the answer entities and model the logical operations of projection and intersection.
1 code implementation • 23 Dec 2020 • Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Promising approaches to tackle this problem include embedding the KG units (e. g., entities and relations) in a Euclidean space such that the query embedding contains the information relevant to its results.
no code implementations • COLING 2018 • Nurendra Choudhary, Rajat Singh, Vijjini Anvesh Rao, Manish Shrivastava
In this paper, we leverage social media platforms such as twitter for developing corpus across multiple languages.
no code implementations • 10 Jun 2018 • Nurendra Choudhary, Rajat Singh, Manish Shrivastava
The model learns the representation of resource-poor and resource-rich sentences in a common space by using the similarity between their assigned annotation tags.
no code implementations • 3 Apr 2018 • Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
The model learns the representations of resource-poor and resource-rich language in a common emoji space by using a similarity metric based on the emojis present in sentences from both languages.
no code implementations • 3 Apr 2018 • Rajat Singh, Nurendra Choudhary, Manish Shrivastava
Social media platforms such as Twitter and Facebook are becoming popular in multilingual societies.
no code implementations • 3 Apr 2018 • Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
Machine learning approaches in sentiment analysis principally rely on the abundance of resources.
1 code implementation • 3 Apr 2018 • Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
Code-mixed data is an important challenge of natural language processing because its characteristics completely vary from the traditional structures of standard languages.
no code implementations • 28 Mar 2018 • Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
CREDO consists of different modules for capturing various features responsible for the credibility of an article.