1. Recognizing Location Names from Chinese Texts
严德美
2017年10月9日

2. segment and assign part-of-speech tags
break segmented words into characters,assign its features
identify the location names using M3 Net

3. IBO2 representation for proper chunks
I Current token is inside of a chunk
O Current token is outside of any chunk
B Current token is the beginning of a chunk yi

4. feature extraction for Chinese location names
The location name characteristic table is set up in advance and characteristics of location names such such as “市”，“省”，“县” etc.

5. POS tags

6. An example of features extraction
Posiotion
Character Da Lian Shi Ren Min
POS tags n-B n-E n-S n-B n-E
LC N N Y N N
BeforeLoc Y N N N N
BehindLoc N N N Y N

7. two kinds of Markov networks
feature function is
feature function is

8. Experiment and results
1 million characters in training corpus (18522 location names)
223 thousand characters in the testing corpus (3658 location names)

9. Q&A
Thank you!