activity
20192022
most citedBridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases

58 citations · 85 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2022

PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation

Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran +4

Semantic role labeling (SRL) identifies the predicate-argument structure in a sentence. This task is usually accomplished in four steps: predicate identification, predicate sense d…

cs.HC20216 cited

TableLab: An Interactive Table Extraction System with Adaptive Deep Learning

Nancy Xin Ru Wang, Douglas Burdick, Yunyao Li

Table extraction from PDF and image documents is a ubiquitous task in the real-world. Perfect extraction quality is difficult to achieve with one single out-of-box model due to (1)…

cs.CL20204 cited

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation

Ishan Jindal, Ranit Aharonov, Siddhartha Brahma +2

Deep neural models achieve some of the best results for semantic role labeling. Inspired by instance-based learning that utilizes nearest neighbors to handle low-frequency context-…

cs.CL2020

CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling

Ishan Jindal, Yunyao Li, Siddhartha Brahma +1

Semantic role labeling (SRL) identifies predicate-argument structure(s) in a given sentence. Although different languages have different argument annotations, polyglot training, th…

cs.DB201917 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.DB201958 cited

Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases

Christopher Baik, H. V. Jagadish, Yunyao Li

A critical challenge in constructing a natural language interface to database (NLIDB) is bridging the semantic gap between a natural language query (NLQ) and the underlying data. T…