Questions tagged [named-entity-recognition]
Named-entity recognition (NER) (also known as entity identification, and entity extraction) is a subtask of information extraction that seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.
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Are there any corpora of informal and unstructured text labelled for Named Entity Recognition?
I have been searching since last week for annotated informal texts (with a lot of misspelled words, slang, etc.) to test some Named Entity Recognition tools for research purposes. For example, it ...
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How to determine entity relationships for a proper noun
Apologies if I am using the wrong terminology
I am starting a pet project using R to determine the associations for a Proper Noun
For example I would like to see all the associations with the name '...
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How to return only the person names who belong to a group?
I could classify words in all sentences in a text file as PERSON, LOCATION, ORGANIZATION etc. using Stanford's Named Entity Recognition. But how to extract names of a specific group of persons (eg: ...
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named entities recognition using stanfordNERTagger
I am trying to get the named entities in a small test using stanford NER tagger. Here is the code:
from nltk.tag import StanfordNERTagger
st = StanfordNERTagger('english.all.3class.distsim.crf.ser')
...
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Evaluation of named entity recognition
I am a newbie to Named Entity Recognition (NER). In one of my projects, for the purpose of evaluating I calculated the precision, recall and f-measure values of NER.
Are there any recognized standard ...
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Stanford NER tagger
I am trying to use Stanford NER tagger from the following link:NER tagger
I output format I have chosen 'slashTags' and entered the following sentence:
While in France, Christine Lagarde discussed ...
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File structures for named entity recognition datasets
I am looking for a list of file structures used by named entity recognition datasets. I am aware of the file structures mentioned below. What other file structures are there?
CONLL 2003
Inline ...
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Named Entity Recognition on Upper Case Text
How to extract entities from upper case text.
I use - http://corenlp.run/
with test data - I KNOW TOM LIVES IN LONDON.
LONDON - Location
TOM - not identified
relation not identified
with test ...
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Comprehensive list of NER labeling schemes with pros/cons
Are there any reference document(s) that give a comprehensive list of NER labeling schemes (e.g., IOB1, IOB2, or IOBES) along with their pros/cons, and ideally some pointers to publications? I am ...
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Why doesn't GeneTag use BIO for its annotations?
GeneTag (1) is a tagged corpus for gene/protein named entity recognition.
The corpus is annotated as follows:
P00089778A0000 The_TAG concentration_TAG of_TAG alpha_GENE1 2_GENE1
-_GENE1 ...
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Noise Removal -Text classification
I am doing a text classification task. My text is questions and answers in a community question answering website. I want to extract tags from the title , existing tags, and BODY of the questions and ...
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Tokenizing first and last name as one token
Is is possible to tokenize a text in tokens such that first and last name are combined in one token? For example if my text is:
text = "Barack Obama is the President"
Then:
text.split()
results:
...
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Text parsing: Distinguish between “dictionary words” and names
I have texts in English and German containing "dictionary words" and names.
e.g. "... In Florence the painter Leonardo built ..."
I have a Java program where need to determine for each word if it ...
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Entity level Sentiment Analysis
I've been working on document level sentiment analysis over the last year. Document level sentiment analysis provides the sentiment of the complete document. For example - The text "Nokia is good but ...
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How to identify character names in a body of text?
I'm trying to research methods of identifying or pattern matching names of characters in a novel or a general body of text, but so far my search has been unsuccessful, since "character" refers to ...
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