coolisf 0.2.3b2

A Python 3 implementation of the Integrated Semantic Framework that provides computational deep semantic analysis by combining structural semantics from construction grammars and lexical semantics from ontologies in a single representation.

Integrated Semantic Framework (intsem.fx)

A Python 3 implementation of the Integrated Semantic Framework that provides computational deep semantic analysis by combining structural semantics from construction grammars and lexical semantics from ontologies in a single representation.

Install

coolisf only works on Linux distributions at the moment (built and tested on Fedora and Ubuntu Linux).

• Install coolisf package from PyPI using pip

pip install coolisf

• Create coolisf data folder at /home/user/local/isf/data
• Download ace-0.9.26 binary from https://osf.io/x52fy/ to /home/user/bin/ace. Make sure that you can run ace by

[isf]$ ~/bin/ace -V
ACE version 0.9.26
compiled at 18:48:50 on Sep 14 2017

• Install lelesk and yawlib with data
• Download coolisf lexical rules database from https://osf.io/qn4wz/ and extract it to /home/user/local/isf/data/lexrules.db
• Download grammar files (erg.dat, jacy.dat, virgo.dat, etc.) and copy them to /home/user/local/isf/data/grammars/

The final data folder should look something like this

/home/user/local/isf/data
├── grammars
│   ├── erg.dat
│   └── jacy.dat
├── lexrules.db

Using ISF

To parse a sentence, use coolisf text command

python -m coolisf text "I drink green tea." -f dmrs

:`I drink green tea.` (len=5)
------------------------------------------------------------
dmrs {
  10000 [pron<0:1> x ind=+ num=sg pers=1 pt=std];
  10001 [pronoun_q<0:1> x ind=+ num=sg pers=1 pt=std];
  10002 [_drink_v_1_rel<2:7> e mood=indicative perf=- prog=- sf=prop tense=pres];
  10003 [udef_q<8:18> x num=sg pers=3];
  10004 [_green+tea_n_1_rel<8:18> x num=sg pers=3];
  0:/H -> 10002;
  10001:RSTR/H -> 10000;
  10002:ARG1/NEQ -> 10000;
  10002:ARG2/NEQ -> 10004;
  10003:RSTR/H -> 10004;
}
# 10002 -> 01170052-v[drink/lelesk]
# 10004 -> 07935152-n[green tea/lelesk]
...

For batch processing, create a text file with each sentence on a separate line. For example here is the content of the file sample.txt

I drink green tea.
Sherlock Holmes has three guard dogs.
A soul is not a living thing.
Do you have any green tea chest?

After that, run the following command and the output will be written to the file demo_out.xml

python -m coolisf parse demo.txt -o demo_out.xml

If you encounter any issue, please submit an issue at: https://github.com/letuananh/intsem.fx/issues