Merge pull request #124 from vmenger/detect-multi-token-names

Detect multi token names

Author: vmenger

CHANGELOG.md

@@ -5,6 +5,12 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## 2.4.2 (2023-11-22)
+
+### Changed
+- multi-token lookup for first- and last names, so multi token names are now detected
+- some small lookup list additions
+
 ## 2.4.3 (2023-11-22) 
 
 ### Changed

config.json

@@ -128,49 +128,19 @@
       }
     },
     "first_name_lookup": {
-      "annotator_type": "token_pattern",
+      "annotator_type": "multi_token",
       "group": "names",
       "args": {
         "tag": "voornaam",
-        "skip": [],
-        "pattern": [
-          {
-            "and": [
-              {
-                "lookup": "first_names"
-              },
-              {
-                "neg_lookup": "first_name_exceptions"
-              },
-              {
-                "neg_lookup": "whitelist"
-              }
-            ]
-          }
-        ]
+        "lookup_values": "first_names"
       }
     },
     "surname_lookup": {
-      "annotator_type": "token_pattern",
+      "annotator_type": "multi_token",
       "group": "names",
       "args": {
         "tag": "achternaam",
-        "skip": [],
-        "pattern": [
-          {
-            "and": [
-              {
-                "lookup": "surnames"
-              },
-              {
-                "neg_lookup": "surname_exceptions"
-              },
-              {
-                "neg_lookup": "whitelist"
-              }
-            ]
-          }
-        ]
+        "lookup_values": "surnames"
       }
     },
     "person_first_name": {

deduce-data/lookup_lists/medical_terms.txt

@@ -3386,6 +3386,7 @@ lange
 langs
 langzame
 langzamer
+lap
 laquo
 largactil
 laryngeus
@@ -4872,6 +4873,7 @@ population
 porfyrie
 porphyria
 portae
+pos
 positief
 positive
 postbus
@@ -5421,6 +5423,7 @@ scheikunde
 scheikundig
 scheikundige
 schele
+schep
 scherp
 scherpe
 scherpstelling
@@ -5500,6 +5503,7 @@ sensitization
 sensorieel
 sensorisch
 sensory
+sep
 sepsis
 septi
 septic
@@ -5681,6 +5685,7 @@ spondylitis
 spondylolyse
 spongiforme
 spontaan
+spoor
 spoorelement
 sporadic
 sporadisch

deduce-data/lookup_lists/names/first_names.txt

@@ -854,7 +854,6 @@ Anne-Roos
 Anne-Ruth
 Anne-Sophie
 Anne-Wil
-Anne-marie
 Annebel
 Annebelle
 Annebet
@@ -7134,8 +7133,6 @@ Jo-An
 Jo-Ann
 Jo-Anna
 Jo-Anne
-Jo-ann
-Jo-anne
 Joa
 Joab
 Joachem
@@ -8009,7 +8006,6 @@ Kwint
 Kwinten
 Kwok
 Ky-Mani
-Ky-mani
 Kyan
 Kyana
 Kyandro

deduce-data/lookup_lists/names/interfixes.txt

@@ -18,6 +18,7 @@ in het
 l'
 la
 le
+lo
 op 't
 op de
 op den

deduce-data/lookup_lists/top_1000_terms.txt

@@ -128,6 +128,7 @@ bui
 buiten
 bureau
 buren
+burger
 bus
 buurman
 buurvrouw
@@ -184,8 +185,10 @@ drinken
 drogen
 dromen
 droog
+droog
 druk
 dubbel
+duits
 dun
 dus
 duur
@@ -207,6 +210,7 @@ elektrisch
 elk
 elke
 en
+engels
 enkele
 enthousiast
 er
@@ -267,6 +271,7 @@ gevaar
 gevaarlijk
 gevangenis
 geven
+geven
 gevolg
 gewicht
 gewoon
@@ -550,6 +555,7 @@ naam
 naar
 naast
 nacht
+nader
 nat
 natuur
 natuurlijk
@@ -621,6 +627,7 @@ opnemen
 oranje
 orde
 oud
+oud
 ouder
 over
 overeenkomen
@@ -637,6 +644,7 @@ park
 partner
 pas
 passeren
+pauw
 pen
 peper
 per

deduce/lookup_sets.py

@@ -34,6 +34,17 @@ def _get_first_names() -> dd.ds.LookupSet:
         cleaning_pipeline=[dd.str.FilterByLength(min_len=2)],
     )
 
+    first_name_exceptions = _get_first_name_exceptions()
+
+    first_names.remove_items_from_iterable(first_name_exceptions)
+
+    first_names.add_items_from_self(
+        cleaning_pipeline=[
+            FilterBasedOnLookupSet(filter_set=_get_whitelist(), case_sensitive=False),
+        ],
+        replace=True,
+    )
+
     return first_names
 
 
@@ -92,6 +103,17 @@ def _get_surnames() -> dd.ds.LookupSet:
         cleaning_pipeline=[dd.str.FilterByLength(min_len=2)],
     )
 
+    surname_exceptions = _get_surname_exceptions()
+
+    surnames.remove_items_from_iterable(surname_exceptions)
+
+    surnames.add_items_from_self(
+        cleaning_pipeline=[
+            FilterBasedOnLookupSet(filter_set=_get_whitelist(), case_sensitive=False),
+        ],
+        replace=True,
+    )
+
     return surnames
 
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "deduce"
-version = "2.4.3"
+version = "2.4.4"
 description = "Deduce: de-identification method for Dutch medical text"
 authors = ["Vincent Menger <vmenger@protonmail.com>"]
 maintainers = ["Vincent Menger <vmenger@protonmail.com>"]

tests/regression/data/names.json

@@ -843,19 +843,6 @@
                 }
             ]
         },
-        {
-            "id": 94,
-            "text": "Voornaam-Voornaam Achternaam",
-            "annotations": [
-                {
-                    "text": "Voornaam-Voornaam Achternaam",
-                    "start_char": 0,
-                    "end_char": 28,
-                    "tag": "persoon"
-                }
-            ]
-        },
-
         {
             "id": 95,
             "text": "de Heer",
@@ -1043,6 +1030,90 @@
                     "tag": "persoon"
                 }
             ]
+        },
+        {
+            "id": 117,
+            "text": "Jan-Willem",
+            "annotations": [
+                {
+                    "text": "Jan-Willem",
+                    "start_char": 0,
+                    "end_char": 10,
+                    "tag": "persoon"
+                }
+            ]
+        },
+        {
+            "id": 118,
+            "text": "Jan-Onbekendenaam",
+            "annotations": [
+                {
+                    "text": "Jan-Onbekendenaam",
+                    "start_char": 0,
+                    "end_char": 17,
+                    "tag": "persoon"
+                }
+            ]
+        },
+        {
+            "id": 119,
+            "text": "Onbekendenaam-Willem",
+            "annotations": [
+                {
+                    "text": "Onbekendenaam-Willem",
+                    "start_char": 0,
+                    "end_char": 20,
+                    "tag": "persoon"
+                }
+            ]
+        },
+        {
+            "id": 120,
+            "text": "El Ahmadi",
+            "annotations": [
+                {
+                    "text": "Ahmadi",
+                    "start_char": 3,
+                    "end_char": 9,
+                    "tag": "persoon"
+                }
+            ]
+        },
+        {
+            "id": 121,
+            "text": "Bruins Slot",
+            "annotations": [
+                {
+                    "text": "Bruins Slot",
+                    "start_char": 0,
+                    "end_char": 11,
+                    "tag": "persoon"
+                }
+            ]
+        },
+        {
+            "id": 122,
+            "text": "Groot Wassink",
+            "annotations": [
+                {
+                    "text": "Groot Wassink",
+                    "start_char": 0,
+                    "end_char": 13,
+                    "tag": "persoon"
+                }
+            ]
+        },
+        {
+            "id": 123,
+            "text": "Pieter Oude Nijhuis",
+            "annotations": [
+                {
+                    "text": "Pieter Oude Nijhuis",
+                    "start_char": 0,
+                    "end_char": 19,
+                    "tag": "persoon"
+                }
+            ]
         }
     ]
 }

tests/regression/test_regression.py

@@ -53,7 +53,6 @@ def test_regression_name(self, model):
                 "name_context",
                 "person_annotation_converter",
             },
-            known_failures={94},
         )
 
     def test_regression_location(self, model):