Semantic Scholar Open Access 2014 538 sitasi

Automatic Keyphrase Extraction: A Survey of the State of the Art

K. Hasan Vincent Ng

Lihat Sumber DOI

Abstrak

While automatic keyphrase extraction has been examined extensively, state-of-theart performance on this task is still much lower than that on many core natural language processing tasks. We present a survey of the state of the art in automatic keyphrase extraction, examining the major sources of errors made by existing systems and discussing the challenges ahead.

Topik & Kata Kunci

Computer Science

Penulis (2)

K. Hasan

Vincent Ng

Format Sitasi

APA MLA BibTeX

Hasan, K., Ng, V. (2014). Automatic Keyphrase Extraction: A Survey of the State of the Art. https://doi.org/10.3115/v1/P14-1119

Akses Cepat

Lihat di Sumber doi.org/10.3115/v1/P14-1119

Informasi Jurnal

Tahun Terbit: 2014
Bahasa: en
Total Sitasi: 538×
Sumber Database: Semantic Scholar
DOI: 10.3115/v1/P14-1119
Akses: Open Access ✓