Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

Sorry About That

By Edwin L. Battistella

Sorry About That "explores why we apologize or don't and how our apologies succeed or fail."


New from Cambridge University Press!

ad

Sociolinguistics from the Periphery

By Sari Pietikäinen, Alexandra Jaffe, Helen Kelly-Holmes, Nik Coupland

Sociolinguistics from the Periphery "presents a fascinating book about change: shifting political, economic and cultural conditions; ephemeral, sometimes even seasonal, multilingualism; and altered imaginaries for minority and indigenous languages and their users"


Academic Paper


Title: Chinese Named Entity Recognition Using Lexicalized HMMs
Author: Guohong Fu
Email: click here TO access email
Institution: Heilongjiang University
Linguistic Field: Computational Linguistics
Abstract: This paper presents a lexicalized HMM-based approach to Chinese named entity recognition (NER). To tackle the problem of unknown words, we unify unknown word identification and NER as a single tagging task on a sequence of known words. To do this, we first employ a known-word bigram-based model to segment a sentence into a sequence of known words, and then apply the uniformly lexicalized HMMs to assign each known word a proper hybrid tag that indicates its pattern in forming an entity and the category of the formed entity. Our system is able to integrate both the internal formation patterns and the surrounding contextual clues for NER under the framework of HMMs. As a result, the performance of the system can be improved without losing its efficiency in training and tagging. We have tested our system using different public corpora. The results show that lexicalized HMMs can substantially improve NER performance over standard HMMs. The results also indicate that character-based tagging (viz. the tagging based on pure single-character words) is comparable to and can even outperform the relevant known-word based tagging when a lexicalization technique is applied.
Type: Individual Paper
Status: In Progress


Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page