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README.md

@@ -16,6 +16,97 @@ tags:
 - encoder
 - entity recognition
 ---
+# Entity Types Classification
+
+## Personal Information
+- Date of birth
+- Age
+- Gender
+- Last name
+- Occupation
+- Education level
+- Phone number
+- Email
+- Street address
+- City
+- Country
+- Postcode
+- User name
+- Password
+- Tax ID
+- License plate
+- CVV
+- Bank routing number
+- Account number
+- SWIFT BIC
+- Biometric identifier
+- Device identifier
+- Location
+
+## Financial Information
+- Account number
+- Bank routing number
+- SWIFT BIC
+- CVV
+- Tax ID
+- API key
+
+## Health and Medical Information
+- Blood type
+- Biometric identifier
+- Organ
+- Diseases symptom
+- Diagnostics
+- Preventive medicine
+- Treatment
+- Surgery
+- Drug chemical
+- Medical device technique
+- Personal care
+
+## Online and Web-related Information
+- URL
+- IP address
+- Email
+- User name
+- API key
+
+## Professional Information
+- Occupation
+- Skill
+- Organization
+- Company name
+
+## Location Information
+- City
+- Country
+- Postcode
+- Street address
+- Location
+
+## Time-Related Information
+- Date
+- Date time
+
+## Miscellaneous
+- Event
+- Miscellaneous
+
+## Product and Goods Information
+- Product
+- Quantity
+- Food drink
+- Transportation
+
+## Identifiers
+- Device identifier
+- Biometric identifier
+- User name
+- Email
+- Phone number
+- URL
+- License plate
+
 # About
 
 GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoders (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource-constrained scenarios.

count.json

@@ -1,53 +1,53 @@
 {
-    "diagnostics": 1302,
-    "date": 25179,
-    "blood type": 3101,
-    "organization": 37540,
-    "occupation": 2860,
-    "date time": 10263,
-    "last name": 6257,
-    "meddevicetechnique": 1460,
-    "datetime": 2996,
-    "license plate": 878,
-    "quantity": 18083,
-    "cvv": 1665,
-    "fooddrink": 4882,
     "biometric identifier": 114,
-    "swift bic": 333,
-    "tax id": 3130,
-    "personalcare": 2356,
-    "location": 16087,
-    "phone number": 22377,
-    "education level": 2095,
-    "account number": 7455,
-    "drugchemical": 9503,
+    "date of birth": 12824,
     "country": 15005,
-    "street address": 15208,
-    "preventivemed": 1529,
+    "unitcalibrator": 1261,
+    "datetime": 2996,
+    "device identifier": 1921,
     "bank routing number": 1549,
-    "api key": 964,
-    "age": 3524,
-    "event": 3192,
-    "password": 958,
-    "diseasesymtom": 11770,
-    "gender": 2245,
-    "city": 28410,
+    "postcode": 1878,
+    "preventivemed": 1529,
+    "url": 2108,
+    "tax id": 3130,
+    "license plate": 878,
     "miscellaneous": 1766,
-    "product": 10464,
-    "organ": 2263,
+    "account number": 7455,
+    "password": 958,
+    "fooddrink": 4882,
+    "skill": 2760,
+    "date time": 10263,
+    "company name": 29040,
+    "last name": 6257,
+    "blood type": 3101,
     "ipv4": 589,
+    "event": 3192,
+    "drugchemical": 9503,
+    "transportation": 244,
+    "education level": 2095,
+    "location": 16087,
+    "organization": 37540,
+    "diagnostics": 1302,
+    "organ": 2263,
+    "city": 28410,
+    "swift bic": 333,
+    "quantity": 18083,
+    "age": 3524,
+    "phone number": 22377,
+    "meddevicetechnique": 1460,
     "email": 17576,
-    "skill": 2760,
-    "user name": 819,
+    "product": 10464,
+    "person": 32677,
     "surgery": 3939,
+    "occupation": 2860,
+    "gender": 2245,
+    "cvv": 1665,
+    "personalcare": 2356,
+    "date": 25179,
+    "user name": 819,
+    "api key": 964,
+    "diseasesymtom": 11770,
     "persontype": 6482,
-    "person": 32677,
-    "treatment": 3081,
-    "unitcalibrator": 1261,
-    "transportation": 244,
-    "date of birth": 12824,
-    "postcode": 1878,
-    "device identifier": 1921,
-    "company name": 29040,
-    "url": 2108
+    "street address": 15208,
+    "treatment": 3081
 }

count_test.json

@@ -1,53 +1,53 @@
 {
-    "diagnostics": 127,
-    "date": 1312,
-    "blood type": 144,
-    "organization": 3150,
-    "occupation": 271,
-    "date time": 1480,
-    "last name": 322,
-    "meddevicetechnique": 119,
-    "datetime": 292,
-    "license plate": 31,
-    "quantity": 1513,
-    "cvv": 93,
-    "fooddrink": 284,
     "biometric identifier": 7,
-    "swift bic": 14,
-    "tax id": 197,
-    "personalcare": 199,
-    "location": 1691,
-    "phone number": 1178,
-    "education level": 108,
-    "account number": 387,
-    "drugchemical": 707,
+    "date of birth": 645,
     "country": 737,
-    "street address": 780,
-    "preventivemed": 139,
+    "unitcalibrator": 243,
+    "datetime": 292,
+    "device identifier": 109,
     "bank routing number": 67,
-    "api key": 52,
-    "age": 290,
-    "event": 265,
-    "password": 52,
-    "diseasesymtom": 1199,
-    "gender": 174,
-    "city": 1475,
+    "postcode": 119,
+    "preventivemed": 139,
+    "url": 109,
+    "tax id": 197,
+    "license plate": 31,
     "miscellaneous": 236,
-    "product": 1064,
-    "organ": 492,
+    "account number": 387,
+    "password": 52,
+    "fooddrink": 284,
+    "skill": 185,
+    "date time": 1480,
+    "company name": 1440,
+    "last name": 322,
+    "blood type": 144,
     "ipv4": 47,
+    "event": 265,
+    "drugchemical": 707,
+    "transportation": 22,
+    "education level": 108,
+    "location": 1691,
+    "organization": 3150,
+    "diagnostics": 127,
+    "organ": 492,
+    "city": 1475,
+    "swift bic": 14,
+    "quantity": 1513,
+    "age": 290,
+    "phone number": 1178,
+    "meddevicetechnique": 119,
     "email": 899,
-    "skill": 185,
-    "user name": 33,
+    "product": 1064,
+    "person": 3091,
     "surgery": 221,
+    "occupation": 271,
+    "gender": 174,
+    "cvv": 93,
+    "personalcare": 199,
+    "date": 1312,
+    "user name": 33,
+    "api key": 52,
+    "diseasesymtom": 1199,
     "persontype": 1034,
-    "person": 3091,
-    "treatment": 288,
-    "unitcalibrator": 243,
-    "transportation": 22,
-    "date of birth": 645,
-    "postcode": 119,
-    "device identifier": 109,
-    "company name": 1440,
-    "url": 109
+    "street address": 780,
+    "treatment": 288
 }

count_vietmed.json

@@ -1,20 +1,20 @@
 {
+    "occupation": 545,
+    "location": 292,
+    "preventivemed": 343,
+    "gender": 210,
     "diagnostics": 373,
+    "personalcare": 383,
     "surgery": 200,
-    "diseasesymtom": 2966,
-    "treatment": 740,
+    "organ": 1972,
+    "organization": 19,
     "fooddrink": 257,
+    "age": 455,
     "unitcalibrator": 822,
-    "transportation": 5,
-    "gender": 210,
-    "personalcare": 383,
-    "location": 292,
-    "organization": 19,
-    "occupation": 545,
-    "drugchemical": 1127,
     "meddevicetechnique": 327,
+    "diseasesymtom": 2966,
     "datetime": 695,
-    "preventivemed": 343,
-    "organ": 1972,
-    "age": 455
+    "drugchemical": 1127,
+    "transportation": 5,
+    "treatment": 740
 }

count_vlsp_2021.json

@@ -1,17 +1,17 @@
 {
-    "quantity": 5048,
-    "persontype": 5304,
-    "person": 9762,
-    "skill": 79,
-    "organization": 9526,
-    "phone number": 258,
     "location": 9270,
+    "organization": 9526,
+    "url": 350,
     "miscellaneous": 1480,
+    "quantity": 5048,
+    "skill": 79,
     "date time": 7050,
-    "product": 3358,
-    "street address": 646,
+    "phone number": 258,
     "ipv4": 66,
     "email": 96,
-    "url": 350,
-    "event": 1362
+    "persontype": 5304,
+    "event": 1362,
+    "product": 3358,
+    "street address": 646,
+    "person": 9762
 }