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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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1answer
42 views

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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List Entity Identification

Let's say the following conversation takes place: Party A: Do you want a salad, pasta, and/or desert? Party B: I want everything but desert. Through negation, Party B is semantically ...
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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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1answer
40 views

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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1answer
88 views

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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1answer
52 views

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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1answer
106 views

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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1answer
72 views

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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1answer
46 views

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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2answers
922 views

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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1answer
570 views

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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2answers
661 views

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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1answer
593 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 ...
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1answer
4k views

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 ...