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researcher

Stephen M. Ash

4 papers hereh-index 5149 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.DB1

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedDesign Challenges in Named Entity Transliteration

25 citations · 44 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 9 cited

UNITE: A Unified Benchmark for Text-to-SQL Evaluation

Wuwei Lan, Zhiguo Wang, Anuj Chauhan +15

A practical text-to-SQL system should generalize well on a wide variety of natural language questions, unseen database schemas, and novel SQL query structures. To comprehensively e…

cs.CL2023★ 10 cited

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness

Shuaichen Chang, Jun Wang, Mingwen Dong +13

Neural text-to-SQL models have achieved remarkable performance in translating natural language questions into SQL queries. However, recent studies reveal that text-to-SQL models ar…

cs.DB2020

Scalable Blocking for Very Large Databases

Andrew Borthwick, Stephen Ash, Bin Pang +2

In the field of database deduplication, the goal is to find approximately matching records within a database. Blocking is a typical stage in this process that involves cheaply find…

cs.CL2018★ 25 cited

Design Challenges in Named Entity Transliteration

Yuval Merhav, Stephen Ash

We analyze some of the fundamental design challenges that impact the development of a multilingual state-of-the-art named entity transliteration system, including curating bilingua…

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