activity
20162021
most citedLow-resource Deep Entity Resolution with Transfer and Active Learning

17 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking

Hang Jiang, Sairam Gurajada, Qiuhao Lu +5

Entity linking (EL), the task of disambiguating mentions in text by linking them to entities in a knowledge graph, is crucial for text understanding, question answering or conversa…

cs.CL2020★ 9 cited

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering

Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar +27

Knowledge base question answering (KBQA)is an important task in Natural Language Processing. Existing approaches face significant challenges including complex question understandin…

cs.DB2019★ 17 cited

Low-resource Deep Entity Resolution with Transfer and Active Learning

Jungo Kasai, Kun Qian, Sairam Gurajada +2

Entity resolution (ER) is the task of identifying different representations of the same real-world entities across databases. It is a key step for knowledge base creation and text…

cs.DB2016★ 1 cited

Distributed Processing of Generalized Graph-Pattern Queries in SPARQL 1.1

Sairam Gurajada, Martin Theobald

We propose an efficient and scalable architecture for processing generalized graph-pattern queries as they are specified by the current W3C recommendation of the SPARQL 1.1 "Query…

cs.AI2016★ 12 cited

KOGNAC: Efficient Encoding of Large Knowledge Graphs

Jacopo Urbani, Sourav Dutta, Sairam Gurajada +1

Many Web applications require efficient querying of large Knowledge Graphs (KGs). We propose KOGNAC, a dictionary-encoding algorithm designed to improve SPARQL querying with a judi…