Nitish Gupta - Semantic Scholar

Entity Linking via Joint Encoding of Types, Descriptions, and Context

For accurate entity linking, we need to capture various information aspects of an entity, such as its description in a KB, contexts in which it is mentioned, and structured knowledge. Additionally, a… (More)

Collectively Embedding Multi-Relational Data for Predicting User Preferences

Matrix factorization has found incredible success and widespread application as a collaborative filtering based approach to recommendations. Unfortunately, incorporating additional sources of… (More)

Joint Multilingual Supervision for Cross-lingual Entity Linking

Cross-lingual Entity Linking (XEL) aims to ground entity mentions written in any language to an English Knowledge Base (KB), such as Wikipedia. XEL for most languages is challenging, owing to limited… (More)

Revisiting the Evaluation for Cross Document Event Coreference

Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth
COLING
2016

Cross document event coreference (CDEC) is an important task that aims at aggregating eventrelated information across multiple documents. We revisit the evaluation for CDEC, and discover that past… (More)

Neural Compositional Denotational Semantics for Question Answering

Answering compositional questions requiring multi-step reasoning is challenging for current models. We introduce an end-to-end differentiable model for interpreting questions, which is inspired by… (More)

UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference

Chase Duncan, Liang-Wei Chan, +6 authors Dan Roth
TAC
2017

The UI CCG team participated in the Entity Discovery and Linking (EDL), Event Nugget Detection, and Event Nugget Co-reference tasks. The EDL system extended Illinois Cross Lingual Wikifier (Tsai and… (More)

Collective Factorization for Relational Data : An Evaluation on the Yelp Datasets

Nitish Gupta, Sameer Singh
2015

Matrix factorization has found incredible success and widespread application as a collaborative filtering based approach to recommendations. Unfortunately, incorporating additional sources of… (More)

Automatic Breast Lesion Segmentation and Scoring in Color Elastography Images

Nitish Gupta
2013

While breast biopsy remains the gold standard for diagnosis of suspicious lesions, a large proportion of biopsy specimens reveal a benign result. Therefore, a noninvasive and reliable method to… (More)

Movie Rating Prediction System using Content-Boosted Collaborative Filtering

Divyanshu Bhartiya, Nitish Gupta, Satyajit Bhadange, Umair Z. Ahmed
2013

Recommender Systems are becoming a quinessential part of our lives with a plethora of information available and wide variety of choices to choose from in various domains. Recommender sytems have a… (More)