diff --git a/lab6_named_entity_recognition/README.md b/lab6_named_entity_recognition/README.md
index 6f1ea90..55bbcd1 100644
--- a/lab6_named_entity_recognition/README.md
+++ b/lab6_named_entity_recognition/README.md
@@ -12,23 +12,23 @@ poetry install
 
 ## Native
 
-Naive version implemented in [naive.py](naive.py) uses a regex to extract proper names.
+Naive version implemented in [named_entity_recognition/naive.py](named_entity_recognition/naive.py) uses a regex to extract proper names.
 
 ```bash
-poetry run python naive.py
+poetry run python named_entity_recognition/naive.py
 ```
 
-Results are saved to [output/naive.txt](output/naive.txt).
+Results are saved to [named_entity_recognition/output/naive.txt](named_entity_recognition/output/naive.txt).
 
 ## NLTK
 
-Version implemented in [using_nltk.py](using_nltk.py) uses NLTK's word tokenizer, part of speech tagger, and finally named entities chunker.
+Version implemented in [named_entity_recognition/using_nltk.py](named_entity_recognition/using_nltk.py) uses NLTK's word tokenizer, part of speech tagger, and finally named entities chunker.
 
 ```bash
-poetry run python using_nltk.py
+poetry run python named_entity_recognition/using_nltk.py
 ```
 
-Results are saved to [output/naive.txt](output/nltk.txt).
+Results are saved to [named_entity_recognition/output/naive.txt](named_entity_recognition/output/nltk.txt).
 
 ### Initial setup
 
@@ -50,20 +50,20 @@ $ poetry run python
 
 ## Tag with Wikidata (SPARQL)
 
-Named entites found with NLTK are annotated with what they are instances of accorcing to Wikidata, see implementation in [tag_with_wikidata_sparql.py](tag_with_wikidata_sparql.py).
+Named entites found with NLTK are annotated with what they are instances of accorcing to Wikidata, see implementation in [named_entity_recognition/tag_with_wikidata_sparql.py](named_entity_recognition/tag_with_wikidata_sparql.py).
 
 ```bash
-poetry run python tag_with_wikidata_sparql.py
+poetry run python named_entity_recognition/tag_with_wikidata_sparql.py
 ```
 
-Results are saved to HTML table in [output/tagged_with_wikidata.html](output/tagged_with_wikidata.html).
+Results are saved to HTML table in [named_entity_recognition/output/tagged_with_wikidata.html](named_entity_recognition/output/tagged_with_wikidata.html).
 
 ## Tag with Google Knowledge Graph Search API
 
-Named entites found with NLTK are annotated with what type they are accorcing to Knowledge Graph, see implementation in [tag_with_google_knowledge_graph.py](tag_with_google_knowledge_graph.py). You need to get API key from [here](https://console.cloud.google.com/flows/enableapi?apiid=kgsearch.googleapis.com&credential=client_key).
+Named entites found with NLTK are annotated with what type they are accorcing to Knowledge Graph, see implementation in [named_entity_recognition/tag_with_google_knowledge_graph.py](named_entity_recognition/tag_with_google_knowledge_graph.py). You need to get API key from [here](https://console.cloud.google.com/flows/enableapi?apiid=kgsearch.googleapis.com&credential=client_key).
 
 ```bash
-API_KEY={put your API key here} poetry run python tag_with_google_knowledge_graph.py
+API_KEY={put your API key here} poetry run python named_entity_recognition/tag_with_google_knowledge_graph.py
 ```
 
-Results are saved to HTML table in [output/tagged_with_google_graph.html](tagged_with_google_graph.html).
+Results are saved to HTML table in [named_entity_recognition/output/tagged_with_google_graph.html](named_entity_recognition/output/tagged_with_google_graph.html).
diff --git a/lab6_named_entity_recognition/named_entity_recognition/tag_with_google_knowledge_graph.py b/lab6_named_entity_recognition/named_entity_recognition/tag_with_google_knowledge_graph.py
index 341080d..cdc134c 100644
--- a/lab6_named_entity_recognition/named_entity_recognition/tag_with_google_knowledge_graph.py
+++ b/lab6_named_entity_recognition/named_entity_recognition/tag_with_google_knowledge_graph.py
@@ -1,13 +1,12 @@
-from named_entity_recognition.utils import (join_with_newlines, load_list,
-                                            save_text)
 import json
-import time
-import urllib
+import os
 from typing import List, Tuple
 from urllib.parse import quote
 
 import urllib3
-import os
+
+from named_entity_recognition.utils import (join_with_newlines, load_list,
+                                            save_text)
 
 LIMIT = 0
 
@@ -48,7 +47,8 @@ def fetch_classes_from_google(api_key: str, name: str) -> str:
     jsonld = json.loads(response.data)
     classes = set()
     if 'itemListElement' not in jsonld:
-        raise RuntimeError('Incorrect response: ' + json.dumps(jsonld, indent=2))
+        raise RuntimeError('Incorrect response: ' +
+                           json.dumps(jsonld, indent=2))
     for item in jsonld['itemListElement']:
         try:
             for t in item['result']['@type']:
diff --git a/lab6_named_entity_recognition/named_entity_recognition/utils.py b/lab6_named_entity_recognition/named_entity_recognition/utils.py
index a0a3570..00095ba 100644
--- a/lab6_named_entity_recognition/named_entity_recognition/utils.py
+++ b/lab6_named_entity_recognition/named_entity_recognition/utils.py
@@ -1,24 +1,27 @@
 from typing import Iterable, List
 
+import os
+
+CURRENT_DIR = os.path.dirname(os.path.realpath(__file__))
 
 def load_text(file_path: str) -> str:
-    with open(file_path) as f:
+    with open(os.path.join(CURRENT_DIR, file_path)) as f:
         return f.read()
 
 
 def save_text(file_path: str, text: str) -> None:
-    with open(file_path, 'w') as f:
+    with open(os.path.join(CURRENT_DIR, file_path), 'w') as f:
         return f.write(text)
 
 
 def save_list(file_name: str, list: List) -> None:
-    with open(f'output/{file_name}', 'w') as f:
+    with open(os.path.join(CURRENT_DIR, f'output/{file_name}'), 'w') as f:
         for el in list:
             f.write(f'{el}\n')
 
 
 def load_list(file_path: str) -> List[str]:
-    with open(file_path) as f:
+    with open(os.path.join(CURRENT_DIR, file_path)) as f:
         return [x.strip() for x in f.readlines()]
 
 def join_with_newlines(x: Iterable[str]) -> str: