rita-dsl 0.4.0

DSL for building language rules

RITA DSL

This is a language, loosely based on language Apache UIMA RUTA, focused on writing manual language rules, which compiles into spaCy compatible patterns. These patterns can be used for doing manual NER as well as used in other processes, like retokenizing and pure matching

Links

• Live Demo
• Documentation
• QuickStart

Support

Simple Rules example

rules = """
cuts = {"fitted", "wide-cut"}
lengths = {"short", "long", "calf-length", "knee-length"}
fabric_types = {"soft", "airy", "crinkled"}
fabrics = {"velour", "chiffon", "knit", "woven", "stretch"}

{IN_LIST(cuts)?, IN_LIST(lengths), WORD("dress")}->MARK("DRESS_TYPE")
{IN_LIST(lengths), IN_LIST(cuts), WORD("dress")}->MARK("DRESS_TYPE")
{IN_LIST(fabric_types)?, IN_LIST(fabrics)}->MARK("DRESS_FABRIC")
"""

Loading in spaCy

import spacy
from rita.shortcuts import setup_spacy


nlp = spacy.load("en")
setup_spacy(nlp, rules_string=rules)

And using it:

>>> r = nlp("She was wearing a short wide-cut dress")
>>> [{"label": e.label_, "text": e.text} for e in r.ents]
[{'label': 'DRESS_TYPE', 'text': 'short wide-cut dress'}]

Loading using Regex (standalone)

import rita

patterns = rita.compile_string(rules, use_engine="standalone")

And using it:

>>> list(patterns.execute("She was wearing a short wide-cut dress"))
[{'end': 38, 'label': 'DRESS_TYPE', 'start': 18, 'text': 'short wide-cut dress'}]
```## Changelog
0.4.0 (2020-01-25)
****************************

Features
--------

- Support for deaccent. In general, if accented version of word is given, both deaccented and accented will be used to match. To turn iit off - `!CONFIG("deaccent", "N")`
  #38
- Added shortcuts module to simplify injecting into spaCy
  #42

Fix
---

- Fix issue regarding Spacy rules with `IN_LIST` and using case-sensitive mode. It was creating Regex pattern which is not valid spacy pattern
  #40


0.3.2 (2019-12-19)
***********************

Features
--------

- - Introduced `towncrier` to track changes
  - Added linter `flake8`
  - Refactored code to match `pep8`
  #32

Fix
---

- - Fix WORD split by `-`

  - Split by ` ` (empty space) as well

  - Coverage score increase
  #35