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IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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Natural Language Understanding (NLU)

Showing 28 of 15520

Search fields from specific datasets

Regarding Cognos Analytics functionality NLP - Natural Language Process. While searching fields using NLP, we get results from entire Cognos server which takes lot of time to search. Can we limit the search option to the Data source/Data Set that ...
almost 5 years ago in Natural Language Understanding (NLU) 1 Not under consideration

Make emotion analysis with NLU available in German

Developing further the semantic analysis of German text input should be considered for enriching the emotion feature and differentiating from other NLP tools. Currently the emotion feature of IBM Watson NLU is only supporting English. However, mor...
almost 5 years ago in Natural Language Understanding (NLU) 0 Not under consideration

Revert NLU model to return neutral sentiment scores

Whereas we previously saw that the NLU sentiment scores were distributed throughout the -1 to +1 scale, in the last several months I’ve seen that there are virtually no neutral scores assigned. In the past it was very common for NLU to assign scor...
about 5 years ago in Natural Language Understanding (NLU) 1 Not under consideration

Ability to return sub section of identified regex as entity

We can identify any regular expression but can we *return specific part of extraction as entity* .e.g. regex is TN(\s)?(#)?(\s)?[0-9]{6,10} , I wish to identify whole expression and return only last identified number. TN # 12345689 From about exam...
over 5 years ago in Natural Language Understanding (NLU) 0 Not under consideration

Faster response from NLU RBR every time.

RBR models tend to give Downstream error or loads late for the first time after delay like 15 min. Custer feels RBR is unstable and inconsistent which is reducing the use of RBR model. Where as ML model does not show any such issues, Ideally we n...
over 5 years ago in Natural Language Understanding (NLU) 0 Not under consideration

Polish language support

Please, add Polish language support for your NLU services.
almost 6 years ago in Natural Language Understanding (NLU) 0 Not under consideration

Natural Language Classifier -- For adding the Tamil Language

NLP Exist only for below mentioned Languages .Could you please add Tamil Language also. For any R&D ,I am ready to support.Tamil is very traditional old Language 100+ million people speaking and using this Language around the globe. (Natural...
over 6 years ago in Natural Language Understanding (NLU) 0 Not under consideration

Support pre-annotated document at predict time (Custom Relations)

Scope Watson Health has very good entity extractors but they are in need of relation extractors. They would like to train a custom relations model in WKS. Since they already have good entity extractors, it doesn't make sense for them to train an...
over 6 years ago in Natural Language Understanding (NLU) 0 Planned for future release

Recognize date/time (similar to Watson Assistant System entity)

for many tasks that are time/date based it would be really useful to be able to recognize common terms that represent actual time/dates and be able to get the specific date/time referenced (including relative date/time). For example: "Let's meet t...
over 6 years ago in Natural Language Understanding (NLU) 0 Not under consideration

Create a rest endpoint to duplicate WKS custom model instance.

Currently, we are unable to scale to more than 20 threads when using a WKS custom model for entity and relation prediction with the NLU service. Our documents are very large and one document can take up to 5 minutes to process. If we have multiple...
about 7 years ago in Natural Language Understanding (NLU) 0 Not under consideration