A new suffix tree similarity measure for document clustering

By Hung Chim, Xiaotie Deng. 2007

131 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Information Retrieval & Search, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Daphne Ippolito
2. Katherine Lee
3. Nicholas Carlini
4. Chiyuan Zhang
5. Luke S. Zettlemoyer
6. Percy Liang
7. Chris Callison-Burch
8. Mohit Bansal

In Information Systems

1. Katherine Lee
2. Chiyuan Zhang
3. Chris Callison-Burch
4. Nicholas Carlini
5. Daphne Ippolito

In Information Retrieval & Search

1. Chiyuan Zhang
2. Chris Callison-Burch
3. Andrew Nystrom
4. Douglas Eck
5. Nicholas Carlini
6. Katherine Lee
7. Daphne Ippolito

In Natural Language Processing

1. Daphne Ippolito
2. Nicholas Carlini
3. Katherine Lee
4. Chiyuan Zhang
5. Chris Callison-Burch
6. Andrew Nystrom
7. Douglas Eck
8. Mohit Bansal

Citations in the corpus

• Deduplicating Training Data Makes Language Models Better (2021, methodology): “They have been used widely in NLP, such as for efficient TF-IDF computation (Yamamoto and Church, 2001) and document clustering (Chim and Deng, 2007).”