FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source

no code implementations • NAACL (SUKI) 2022 • Aman Kumar, Akshay G Bharadwaj, Binil Starly, Collin Lynch

As the demands for large-scale information processing have grown, knowledge graph-based approaches have gained prominence for representing general and domain knowledge.

Knowledge Graphs NER +2

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages

no code implementations • 10 Mar 2022 • Aman Kumar, Himani Shrotriya, Prachi Sahu, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Amogh Mishra, Mitesh M. Khapra, Pratyush Kumar

Natural Language Generation (NLG) for non-English languages is hampered by the scarcity of datasets in these languages.

Benchmarking Headline generation +5

Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook

no code implementations • 20 Nov 2021 • Aman Kumar, Swathi Dinakaran

A knowledge graph is an essential and trending technology with great applications in entity recognition, search, or question answering.

named-entity-recognition Named Entity Recognition +2

Experiments in Candidate Phrase Selection for Financial Named Entity Extraction - A Demo

no code implementations • COLING 2016 • Aman Kumar, Hassan Alam, Tina Werner, Manan Vyas

In this study we develop a system that tags and extracts financial concepts called financial named entities (FNE) along with corresponding numeric values {--} monetary and temporal.

BIG-bench Machine Learning Entity Extraction using GAN

Revisiting Arabic Semantic Role Labeling using SVM Kernel Methods

no code implementations • COLING 2012 • Laurel Hart, Hassan Alam, Aman Kumar

Boundary Detection Semantic Role Labeling