11187c1fd28a0c9a11836aa8b27cc21e47b6855f,nlp_architect/api/intent_extraction_api.py,IntentExtractionApi,display_results,#IntentExtractionApi#Any#Any#Any#,87

Before Change


        spans = []
        for t, n in zip(text_str, predictions):
            if n != "O":
                ret["annotation_set"].append(n.lower())
                spans.append({
                    "start": counter,
                    "end": counter + len(t),

After Change


                "type": tag
            })
            available_tags.add(tag)
        ret["annotation_set"] = list(available_tags)
        ret["spans"] = spans
        ret["title"] = intent_type
        return {"doc": ret, "type": "high_level"}
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: NervanaSystems/nlp-architect
Commit Name: 11187c1fd28a0c9a11836aa8b27cc21e47b6855f
Time: 2018-11-11
Author: peteriz@users.noreply.github.com
File Name: nlp_architect/api/intent_extraction_api.py
Class Name: IntentExtractionApi
Method Name: display_results


Project Name: pytorch/text
Commit Name: 2f77be52d2d379a6665af57fb126e9c69490ef00
Time: 2017-01-17
Author: jekbradbury@gmail.com
File Name: torchtext/data.py
Class Name: Dataset
Method Name: __init__


Project Name: EducationalTestingService/skll
Commit Name: 140f9765f4c4f5165fd546bea30b2c473b9abb10
Time: 2014-11-07
Author: dblanchard@ets.org
File Name: skll/utilities/join_features.py
Class Name:
Method Name: main