The document discusses annotating strings and documents using the NLP Interchange Format (NIF). It provides steps to use various NIF wrappers like OpenNLP, Stanford Core NLP, Snowball Stemmer, and DBpedia Spotlight to annotate texts. It also demonstrates how to query annotated corpora using SPARQL through the Twinkle tool. The practical session aims to help participants learn how to annotate strings and documents and then query their annotated corpus.

1. 1
The NIF format (hands on)
Annotating Strings and Documents using the
NLP Interchange Format

2. 2
Practical session outcomes
• Participants will learn to use NIF API to
annotate strings and documents using
the following wrappers:
–OpenNLP
–Stanford Core NLP
–Snowball Stemmer
–DBpedia Spotlight
• Query your corpus using SPARQL

3. 3
NIF Example

4. 4
Snowball Stemmer Wrapper
• Stemming algorithm is a process
for removing suffixes from words.
–CONNECT
• CONNECTED
• CONNECTION
• CONNECTING
• CONNECTIONS

5. 5
Snowball Stemmer Wrapper
java -jar snowball.jar -f text -i 'I am
connected.'
• -f is used to define the format
• -i is used to define the input

6. 6
Snowball Stemmer Wrapper

7. 7
Snowball Stemmer Wrapper

8. 8
Snowball Stemmer Wrapper
NIF Standard Annotations
NIF Offset

9. 9
Snowball Stemmer Wrapper
NIF Standard Annotations
Snowball Stemmer
NIF Offset

10. 10
Annotating Strings: Step-by-step
• 1. Open the USB stick folder
• 2. Decompress the “session-nif.zip” folder
• 3. Open the “NIF_DATATHON” folder and
decompress
“NIF_tutorial_hands_on_jars.zip”
• Open the prompt command, and use the
commands from the next slide in the “jar”
folder.

11. 11
Available Wrappers
• To annotate documents, use the local wrappers (USB Stick)
java -jar opennlp.jar -f text -i 'This is a test.' -modelFolder ../model/
java -jar stanford.jar -f text -i 'This is a test.'
java -jar snowball.jar -f text -i 'This is my favorite test.'
java -jar spotlight.jar -f text -i 'Welcome to Germany.' -confidence 0.2
• To annotate small strings, you can try the on-line services:
http://spotlight.nlp2rdf.aksw.org/spotlight?
f=text&i=Welcome+to+Germany.&t=direct&confidence=0.3&prefix=http://yourDomain.org/
• http://snowball.nlp2rdf.aksw.org/snowball?
f=text&i=This+is+my+favorite+test.&t=direct&prefix=http://yourDomain.org/
• http://stanford.nlp2rdf.aksw.org/stanfordcorenlpn?
f=text&i=This+is+a+test.&t=direct&prefix=http://yourDomain.org/
• http://opennlp.nlp2rdf.aksw.org/opennlp?
f=text&i=This+is+a+test.&t=direct&modelFolder=model&prefix=http://yourDomain.org

12. 12
Reading and Writing Files
• Write results in a file:
“--outfile myAnnotatedFile.ttl“
• Read a document as input
“--intype file -i /path/myDoc”

13. 13
POS tagger for multiple languages
• The -modelFolder parameter set the folder
that contains the POS tagging OpenNLP
trained models and tokenization.
• Different languages can be found at
OpenNLP website
http://opennlp.sourceforge.net/models-
1.5/http://opennlp.sourceforge.net/models-1.5/

14. 14
Example 2: Query a Corpus

15. 15
Querying with Twinkle
Open the “/twinkle” folder and run
the command:
java -jar twinkle.jar

16. 16
Querying a Corpus

17. 17
Querying a Corpus

18. 18
Querying a Corpus

19. 19
Querying a Corpus

20. 20
Querying a Corpus

21. 21
Querying a Corpus

22. 22
Querying a Corpus

23. 23
Querying a Corpus

24. 24
Querying a Corpus

25. 25
Querying a Corpus

26. 26
Querying a Corpus

27. 27
Querying a Corpus

28. 28
Querying a Corpus

29. 29
Exercise 3: Querying your own NIF
annotated corpus

30. 30
Querying your own NIF annotated
corpus
1. Annotate your string using one of the
wrappers
2. Save your annotated sentence to a file
(using “--outfile”)
3. Open Twinkle
4. Query your corpus using Twinkle

31. 31
• Query your annotated corpus:
– nif:Context
– nif:Sentence
– nif:anchorOf
– nif:oliaCategory
– nif:oliaLink
… or practice with Brown Corpus!

32. 32

33. 33
Thank you!
http://site.nlp2rdf.org/