activity
20192022
most citedLow-resource Deep Entity Resolution with Transfer and Active Learning

17 citations · 20 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CL2022

Entity Set Co-Expansion in StackOverflow

Yu Zhang, Yunyi Zhang, Yucheng Jiang +5

Given a few seed entities of a certain type (e.g., Software or Programming Language), entity set expansion aims to discover an extensive set of entities that share the same type as…

cs.LG20223 cited

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning

Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti +4

Deep neural networks have seen great success in recent years; however, training a deep model is often challenging as its performance heavily depends on the hyper-parameters used. I…

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

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.CL2020

Learning Structured Representations of Entity Names using Active Learning and Weak Supervision

Kun Qian, Poornima Chozhiyath Raman, Yunyao Li +1

Structured representations of entity names are useful for many entity-related tasks such as entity normalization and variant generation. Learning the implicit structured representa…

cs.CV2020

Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context

Xinyi Zheng, Doug Burdick, Lucian Popa +2

Documents are often used for knowledge sharing and preservation in business and science, within which are tables that capture most of the critical data. Unfortunately, most documen…