vkocaman/annotators.csv

## annotators.csv

          
            Annotator
            Description
            Version
            Annotator Approach
            Annotator Model

            
              Tokenizer*
              Identifies tokens with tokenization open standards
              Opensource
              -
              +

            
              Normalizer*
              Removes all dirty characters from text
              Opensource
              -
              +

            
              Stemmer*
              Returns hard'-stems out of words with the objective of retrieving the meaningful part of the word
              Opensource
              +
              -

            
              Lemmatizer*
              Retrieves lemmas out of words with the objective of returning a base dictionary word
              Opensource
              -
              +

            
              RegexMatcher*
              Uses a reference file to match a set of regular expressions and put them inside a provided key.
              Opensource
              +
              +

            
              TextMatcher*
              Annotator to match entire phrases (by token) provided in a file against a Document
              Opensource
              +
              +

            
              Chunker*
              Matches a pattern of part'-of'-speech tags in order to return meaningful phrases from document
              Opensource
              +
              -

            
              DateMatcher*
              Reads from different forms of date and time expressions and converts them to a provided date format
              Opensource
              +
              -

            
              SentenceDetector*
              Finds sentence bounds in raw text. Applies rules from Pragmatic Segmenter
              Opensource
              +
              -

            
              DeepSentenceDetector*
              Finds sentence bounds in raw text. Applies a Named Entity Recognition DL model
              Opensource
              +
              -

            
              POSTagger
              Sets a Part'-Of'-Speech tag to each word within a sentence.
              Opensource
              +
              +

            
              ViveknSentimentDetector
              Scores a sentence for a sentiment
              Opensource
              +
              +

            
              SentimentDetector*
              Scores a sentence for a sentiment
              Opensource
              +
              +

            
              WordEmbeddings*
              Word Embeddings lookup annotator that maps tokens to vectors
              Opensource
              +
              +

            
              BertEmbeddings*
              Bert Embeddings that maps tokens to vectors in a bidirectional way
              Opensource
              +
              -

            
              NerCrf
              Named Entity recognition annotator allows for a generic model to be trained by utilizing a CRF machine learning algorithm
              Opensource
              +
              +

            
              NerDL
              This Named Entity recognition annotator allows to train generic NER model based on Neural Networks by utilizing Char CNNs '- BiLSTM '- CRF architecture that achieves state'-of'-the'-art in most datasets.
              Opensource
              +
              +

            
              NorvigSweeting
              This annotator retrieves tokens and makes corrections automatically if not found in an English dictionary
              Opensource
              +
              +

            
              SymmetricDelete
              This spell checker is inspired on Symmetric Delete algorithm
              Opensource
              +
              +

            
              ContextSpellChecker
              Utilizes tensorflow to do context based spell checking
              Opensource
              +
              +

            
              DependencyParser
              Unlabeled parser that finds a grammatical relation between two words in a sentence
              Opensource
              +
              +

            
              TypedDependencyParser
              Labeled parser that finds a grammatical relation between two words in a sentence
              Opensource
              +
              +

            
              AssertionLogReg
              It will classify each clinically relevant named entity into its assertion type: “present”, “absent”, “hypothetical”, etc.
              Licensed
              +
              +

            
              AssertionDL
              It will classify each clinically relevant named entity into its assertion type: “present”, “absent”, “hypothetical”, etc.
              Licensed
              +
              +

            
              EntityResolver
              Assigns a ICD10 (International Classification of Diseases version 10) code to chunks identified as “PROBLEMS” by the NER Clinical Model
              Licensed
              +
              +

            
              DeIdentification
              Identifies potential pieces of content with personal information about patients and remove them by replacing with semantic tags.
              Licensed
              +
              +
Annotator	Description	Version	Annotator Approach	Annotator Model
Tokenizer*	Identifies tokens with tokenization open standards	Opensource	-	+
Normalizer*	Removes all dirty characters from text	Opensource	-	+
Stemmer*	Returns hard'-stems out of words with the objective of retrieving the meaningful part of the word	Opensource	+	-
Lemmatizer*	Retrieves lemmas out of words with the objective of returning a base dictionary word	Opensource	-	+
RegexMatcher*	Uses a reference file to match a set of regular expressions and put them inside a provided key.	Opensource	+	+
TextMatcher*	Annotator to match entire phrases (by token) provided in a file against a Document	Opensource	+	+
Chunker*	Matches a pattern of part'-of'-speech tags in order to return meaningful phrases from document	Opensource	+	-
DateMatcher*	Reads from different forms of date and time expressions and converts them to a provided date format	Opensource	+	-
SentenceDetector*	Finds sentence bounds in raw text. Applies rules from Pragmatic Segmenter	Opensource	+	-
DeepSentenceDetector*	Finds sentence bounds in raw text. Applies a Named Entity Recognition DL model	Opensource	+	-
POSTagger	Sets a Part'-Of'-Speech tag to each word within a sentence.	Opensource	+	+
ViveknSentimentDetector	Scores a sentence for a sentiment	Opensource	+	+
SentimentDetector*	Scores a sentence for a sentiment	Opensource	+	+
WordEmbeddings*	Word Embeddings lookup annotator that maps tokens to vectors	Opensource	+	+
BertEmbeddings*	Bert Embeddings that maps tokens to vectors in a bidirectional way	Opensource	+	-
NerCrf	Named Entity recognition annotator allows for a generic model to be trained by utilizing a CRF machine learning algorithm	Opensource	+	+
NerDL	This Named Entity recognition annotator allows to train generic NER model based on Neural Networks by utilizing Char CNNs '- BiLSTM '- CRF architecture that achieves state'-of'-the'-art in most datasets.	Opensource	+	+
NorvigSweeting	This annotator retrieves tokens and makes corrections automatically if not found in an English dictionary	Opensource	+	+
SymmetricDelete	This spell checker is inspired on Symmetric Delete algorithm	Opensource	+	+
ContextSpellChecker	Utilizes tensorflow to do context based spell checking	Opensource	+	+
DependencyParser	Unlabeled parser that finds a grammatical relation between two words in a sentence	Opensource	+	+
TypedDependencyParser	Labeled parser that finds a grammatical relation between two words in a sentence	Opensource	+	+
AssertionLogReg	It will classify each clinically relevant named entity into its assertion type: “present”, “absent”, “hypothetical”, etc.	Licensed	+	+
AssertionDL	It will classify each clinically relevant named entity into its assertion type: “present”, “absent”, “hypothetical”, etc.	Licensed	+	+
EntityResolver	Assigns a ICD10 (International Classification of Diseases version 10) code to chunks identified as “PROBLEMS” by the NER Clinical Model	Licensed	+	+
DeIdentification	Identifies potential pieces of content with personal information about patients and remove them by replacing with semantic tags.	Licensed	+	+