From aabaa950047fa73994fa0999d9e5bc1febb31f93 Mon Sep 17 00:00:00 2001 From: Artidoro Pagnoni Date: Fri, 31 Aug 2018 16:48:47 -0700 Subject: [PATCH 1/2] clarifying roadmap to mention current text/NLP features --- ROADMAP.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/ROADMAP.md b/ROADMAP.md index bc08ad3a86..7c2155fd36 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t * Native Binary high-performance format ### Featurization Improvements +We already provide text/NLP and image processing functionnalities that will be expanded * Text (*) - * Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking - * Pre-trained text models that can be used for extracting of semantic or sentiment features from text + * Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation + * Pre-trained text models (beyond current n-gram text handling) such as pre-trained WordEmbedding that can improve the extraction of semantic or sentiment features from text * Image (*) - * Image preprocessing such as loading, resizing, and normalization if images + * Image preprocessing such as loading, resizing, and normalization of images * Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet ### Trained Model Management From 773140539930abd5ecead743b55b2b77516a505e Mon Sep 17 00:00:00 2001 From: Artidoro Pagnoni Date: Tue, 25 Sep 2018 14:30:13 -0700 Subject: [PATCH 2/2] updated the documentation to fix review comments --- ROADMAP.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ROADMAP.md b/ROADMAP.md index 7c2155fd36..9a3c6a263a 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -26,7 +26,7 @@ In the meanwhile, we are looking for contributions. An easy place to start is t We already provide text/NLP and image processing functionnalities that will be expanded * Text (*) * Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation - * Pre-trained text models (beyond current n-gram text handling) such as pre-trained WordEmbedding that can improve the extraction of semantic or sentiment features from text + * Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text * Image (*) * Image preprocessing such as loading, resizing, and normalization of images * Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet