activity
20182023
most citedImproving Spoken Language Understanding By Exploiting ASR N-best Hypotheses

14 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting

Jinglun Cai, Mingda Li, Ziyan Jiang +5

Query Rewriting (QR) plays a critical role in large-scale dialogue systems for reducing frictions. When there is an entity error, it imposes extra challenges for a dialogue system…

cs.CL2020★ 14 cited

Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses

Mingda Li, Weitong Ruan, Xinyue Liu +3

In a modern spoken language understanding (SLU) system, the natural language understanding (NLU) module takes interpretations of a speech from the automatic speech recognition (ASR…

cs.DB2019★ 6 cited

Monotonic Properties of Completed Aggregates in Recursive Queries

Carlo Zaniolo, Ariyam Das, Jiaqi Gu +3

The use of aggregates in recursion enables efficient and scalable support for a wide range of BigData algorithms, including those used in graph applications, KDD applications, and…

cs.LO2019★ 9 cited

BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion

Ariyam Das, Youfu Li, Jin Wang +2

In the past, the semantic issues raised by the non-monotonic nature of aggregates often prevented their use in the recursive statements of logic programs and deductive databases. H…

cs.DB2018

Mining CFD Rules on Big Data

Hongzhi Wang, Mingda Li, Jiawei Zhao +2

Current conditional functional dependencies (CFDs) discovery algorithms always need a well-prepared training data set. This makes them difficult to be applied on large datasets whi…