named-entity-recognition

来源： https://stackoverflow.com/questions/59105346/longest-match-only-with-spacy-phrasematcher

来源： https://stackoverflow.com/questions/59105346/longest-match-only-with-spacy-phrasematcher

问题 I have used Entity Rule to add new label for social security number. I even set overwrite_ents=true but it still does't recognize I verified regular expression is correct. not sure what else I need to do I tried before="ner" but same result text = "My name is yuyyvb and I leave on 605 W Clinton Street. My social security 690-96-4032" nlp = spacy.load("en_core_web_sm") ruler = EntityRuler(nlp, overwrite_ents=True) ruler.add_patterns([{"label": "SSN", "pattern": [{"TEXT": {"REGEX": r"\d{3}[^\w]

问题 I have used Entity Rule to add new label for social security number. I even set overwrite_ents=true but it still does't recognize I verified regular expression is correct. not sure what else I need to do I tried before="ner" but same result text = "My name is yuyyvb and I leave on 605 W Clinton Street. My social security 690-96-4032" nlp = spacy.load("en_core_web_sm") ruler = EntityRuler(nlp, overwrite_ents=True) ruler.add_patterns([{"label": "SSN", "pattern": [{"TEXT": {"REGEX": r"\d{3}[^\w]

问题 Im trying to tag full name as a complete tag(one person) instead of individual tags. Here is an example. http://nlp.stanford.edu:8080/ner/process (Stanford NER online) Example sentence: Muhammad Ali was a great boxer. Ali's greatest rival was Joe Frazier. The name can also be written as M. Ali and J. Frazier. This is my existing PHP code` $text = "Muhammad Ali was a great boxer. Ali's greatest rival was Joe Frazier. The name can also be written as M. Ali and J. Frazier"; $pos = new

问题 Im trying to tag full name as a complete tag(one person) instead of individual tags. Here is an example. http://nlp.stanford.edu:8080/ner/process (Stanford NER online) Example sentence: Muhammad Ali was a great boxer. Ali's greatest rival was Joe Frazier. The name can also be written as M. Ali and J. Frazier. This is my existing PHP code` $text = "Muhammad Ali was a great boxer. Ali's greatest rival was Joe Frazier. The name can also be written as M. Ali and J. Frazier"; $pos = new

问题 Im trying to tag full name as a complete tag(one person) instead of individual tags. Here is an example. http://nlp.stanford.edu:8080/ner/process (Stanford NER online) Example sentence: Muhammad Ali was a great boxer. Ali's greatest rival was Joe Frazier. The name can also be written as M. Ali and J. Frazier. This is my existing PHP code` $text = "Muhammad Ali was a great boxer. Ali's greatest rival was Joe Frazier. The name can also be written as M. Ali and J. Frazier"; $pos = new

问题 I am trying to run 'en' for Spacy library, which took a lot of debugging to install and finally got it to import in the python library. Next step to load 'en', I spent lot of time debugging why I can't load the files and unable to load in any type of scenarios. # in Python: These libraries are getting loaded. import spacy import ujson import en_core_web_sm In Command Line/ linux: I used command below to download 'en' for spacy. python -m spacy download en I got this successful message "You

问题 I am trying training a custom NER model for multiple entities. Here is the sample training data: count all <START:item_type> operating tables <END> on the <START:location_id> third <END> <START:location_type> floor <END> count all <START:item_type> items <END> on the <START:location_id> third <END> <START:location_type> floor <END> how many <START:item_type> beds <END> are in <START:location_type> room <END> <START:location_id> 2 <END> The NameFinderME.train(.) method takes a string parameter

问题 I am trying training a custom NER model for multiple entities. Here is the sample training data: count all <START:item_type> operating tables <END> on the <START:location_id> third <END> <START:location_type> floor <END> count all <START:item_type> items <END> on the <START:location_id> third <END> <START:location_type> floor <END> how many <START:item_type> beds <END> are in <START:location_type> room <END> <START:location_id> 2 <END> The NameFinderME.train(.) method takes a string parameter