concise-concepts

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Looks like patterns currently prevent verbs? individual_pattern = { "lemma": {"regex": r"(?i)" + word}, "POS": {"NOT_IN": ["VERB"]}, "DEP": {"NOT_IN": ["nsubjpass"]}, }

Wes4329

Still unable to pass in a custom Gensim model

4

Raised an issue earlier regarding the same problem and @davidberenstein1957 committed a fix and posted this code block as solution import spacy from spacy import displacy import concise_concepts data =...

akshaydevml

OSError on while adding concise_concepts to spacy nlp pipeline

1

Hi Team, I am getting below issue while adding concise_concepts to spacy nlp pipeline in the latest version **nlp.add_pipe("concise_concepts", config={"data" : prints_data})** ``` 2022-10-11 16:25:18.181 ISTextract_expertreports_printsdu74r1dm4mrf ERROR:root:Traceback (most recent call...

mithrepo

json array too large

2

We are getting a 500MB array for the JSON output for concise concepts. Is it possible to exclude the results from the JSON from being returned?

nv78

Handling of Multiple Words

5

Seems like concise concepts, while great, isn't able to assign entities to "multiple words". For instance, it might pick up: Mashed -> ENT Potato -> ENT But not "Mashed Potato"...

nv78

Lemmatization need for LEMMA patterns

2

I believe you are missing to call the lematization function before you build the conceptual patterns. I saw you already have the function for it but not calling it: I...

swelcker

Corrected run(), added lemmatization and seperated the expanded data from the original for infer the expanded data, some list results had mixed str/form object, cast to str added

swelcker

davidberenstein1957

```bash Name a comma-separated list of fruits: banana, apple, orange, ```

davidberenstein1957