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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What is the most accurate way to parse a text so that we can get the characters and the list of sentences that refer to each character?

I'm trying to come up with a method that will take a text and parse it so that we can get all the characters and a list of the sentences from the text that have references to the character (either ...
user14269's user avatar
3 votes
1 answer
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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 ...
KeyPi's user avatar
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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 '...
Sebastian Zeki's user avatar
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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: ...
Swathi's user avatar
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2 votes
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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') ...
Manish Kumar's user avatar
2 votes
0 answers
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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 ...
Chiranga Alwis's user avatar
1 vote
1 answer
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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 ...
user1700890's user avatar
2 votes
1 answer
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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 ...
Franck Dernoncourt's user avatar
1 vote
1 answer
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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 ...
Anshul Solanki's user avatar
1 vote
1 answer
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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 ...
Franck Dernoncourt's user avatar
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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 ...
Franck Dernoncourt's user avatar
1 vote
2 answers
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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 ...
Vineel's user avatar
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1 vote
1 answer
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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: ...
TJ1's user avatar
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4 votes
2 answers
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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 ...
shokkokkok's user avatar
3 votes
1 answer
611 views

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 ...
Jasneet's user avatar
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10 votes
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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 ...
Aram Kocharyan's user avatar