Exploiting Diverse Knowledge Sources via Maximum Entropy in Named Entity Recognition. - Andrew Borthwick; John Sterling; Eugene Agichtein; Ralph Grishman (VLC@COLING/ACL, 1998)

NYU: Description of the MENE Named Entity System as Used in MUC-7. - Andrew Borthwick; John Sterling; Eugene Agichtein; Ralph Grishman (MUC, 1998)

A Maximum Entropy Approach to Named Entity Recognition. - Andrew Borthwick (1999)

MEDD: An Approximate Matching Technology for Database Searching, Linking, and De-Duplicating. - Arthur Goldberg; Andrew Borthwick (IQ, 2001)

Record Matching for a Large Master Client Index at the New York City Health Department. - Andrew Borthwick (ICIQ, 2003)

ClueMaker: A Language for Approximate Record Matching. - Martin Buechi; Andrew Borthwick; Adam Winkel; Arthur Goldberg (ICIQ, 2003)

Business Requirements of A Record Matching System. - Andrew Borthwick; Maggie Soffer (ICIQ, 2004)

WePS-3 Evaluation Campaign: Overview of the Web People Search Clustering and Attribute Extraction Tasks. - Javier Artiles; Andrew Borthwick; Julio Gonzalo; Satoshi Sekine; Enrique Amigó (CLEF (Notebook Papers/LABs/Workshops), 2010)

The Intelius Nickname Collection: Quantitative Analyses from Billions of Public Records. - Vitor R. Carvalho; Yigit Kiran; Andrew Borthwick (HLT-NAACL, 2012)

Intelius-NYU TAC-KBP2012 Cold Start System. - Xin Wang; Ang Sun; Sen Xu; Yigit Kiran; Poornima Shakthi; Andrew Borthwick; Ralph Grishman (TAC, 2012)

Probabilistic estimates of attribute statistics and match likelihood for people entity resolution. - Xin Wang; Ang Sun; Hakan Kardes; Siddharth Agrawal; Lin Chen; Andrew Borthwick (IEEE BigData, 2014)

SuperPart: Supervised Graph Partitioning for Record Linkage. - Russell Reas; Steve Ash; Rob Barton; Andrew Borthwick (ICDM, 2018)

Record2Vec: Unsupervised Representation Learning for Structured Records. - Adelene Y. L. Sim; Andrew Borthwick (ICDM, 2018)

Scalable Blocking for Very Large Databases. - Andrew Borthwick; Stephen Ash; Bin Pang; Shehzad Qureshi; Timothy Jones (PKDD/ECML Workshops, 2020)

Proactive and Automatic Detection of Product Misclassifications at Massive Scale. - Ling Jiang; Xiaoyu Chu; Saaransh Gulati; Pulkit Garg; Andrew Borthwick; Gang Luo 001 (CIKM, 2023)

Neural Locality Sensitive Hashing for Entity Blocking. - Runhui Wang; Luyang Kong; Yefan Tao; Andrew Borthwick; Davor Golac; Henrik Johnson; Shadie Hijazi; Dong Deng 001; Yongfeng Zhang (SDM, 2024)