Questions tagged [spacy]
Industrial strength Natural Language Processing (NLP) with Python and Cython
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Best approach to find whether a scientific research paper has human trials/human testing or no
I want to know the best way to know if a paper has human trials/test subjects/testing. Was thinking of searching for some keywords in the paper like "Human", "Trials" etc.
The ...
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2
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49
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Unable to do POS (part-of-speech) tagging using Spacy
I managed to load as
nlp = spacy.load("en_core_web_sm-3.5.0")
but when i run the 2nd line i.e. ...
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1
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Why is Spacy sentiment score 0.0 for a sentence?
I'm trying to get a sentence's sentiment score using Spacy and apparently every sentence I pass gets a score of 0.0. Can someone help me understand what's going wrong here?
...
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Error in seq2seq translation when passing predicted output to rnn due to input shape not always being the same
I'm working on a language translator and I'm getting an error I'm unsure about.
During the decoding process when using argmax on the predicted output I am sometimes getting an RuntimeError ...
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1
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What are the approaches for extracting an injury and its description from a paragraph?
Suppose I have a paragraph which explains the injuries and its descriptions. I want to extract the injuries and its corresponding descriptions from the text. How can I do that?
For example, the ...
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Sentence tokenization for sentence without punctuation
I wish to perform sentence tokenization for sentence without punctuation, below is the code:
...
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1
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101
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SpaCy textcat_multilabel, how to supply data
Just as I was warned, the documentation in SpaCy is a bit difficult to read. I don't have a software-engineer / CS background, so I'm really struggling with this.
I would like to use SpaCy's ...
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Spacy POS tag for quoted text
I want Spacy to treat quoted text as e.g. a NOUN or PROPN so that it forms a compound with the adjacent word. For example in the following text I want the text "drink me" to be attached to ...
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Using NLP output for subsequent model?
I use SpaCy to output a vectorized array of my text field. I'm having issues plugging this output into my random forest and could use some guidance. I label encoded other fields so my pandas dataframe ...
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How to identify the What and When phrases with spacy
I m new in data science, I have the following question :
¿How I can identify the WHAT and WHERE phrases in a text using spacy?
By Example : I had the following text:
I want to talk to the people in ...
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How to use/vectorize SpaCy output?
I'm performing preprocessing on a dataset that I'm planning on using as a feature set for an RF model. I don't have too much experience with NLP so just want to make sure I'm processing my text fields ...
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Creating variations of prompts for ChatGPT
I am developing a fine tune model to emulate a tech support chatbot based on my given information. I am struggling to create a large dataset (aiming for 1000 prompt/completion pairs), does anyone have ...
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Who the article is about
I have a problem that I need to solve. It involves articles about football. I have to determine who is the main protagonist in the article. I already have a solution that I have implemented. Its good ...
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1
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72
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How to Train Q&A model using Bert for multiple comma seperated values in a given data
I'm using the entire text book data by scraping the information of each chapter.
How do I highlight the spacy spancat NER or Bert Q&A based models to train multiple comma separated values in the ...
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Make spacy NER model more robust to handle odd product code entity extraction
I am developing a NER model to extract product codes that are all over the place in terms of format and naming convention (AXEWAL719XA, AX-P20XXT-001, etc.). I started with the basic blank spacy('en') ...
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NLP Question: Where can I find a list of all open compound words (with spaces in them), like "peanut butter" or "high school"? [close
I already have a list of "1-gram" words, which include closed compound words like "skyscraper" or "weatherman."
However, I'm also interested in compiling a list of "...
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Possible NLP approaches to extract 'goals' from text
I am planning to take up an interesting NLP project. I want to extract 'goal' statements from lengthy reports. For example, the goals can be We would be reducing our carbon footprint by 50% by 2025 or ...
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Best approach for rule-based system in multilabel classification-problem?
I’m new to the world of NLP and am looking for some guidance. I want to create a rule-based system that “grades” text in accordance to some set of criteria. For example, one criteria could be “The ...
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393
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Issue with Relation Annotation (rel.manual) in Spacy's Prodigy tool
I am trying to build a relation extraction model via spacy's prodigy tool.
NOTE: ner.manual, ner.correct, rel.manual are all recipes provided by prodigy.
(ner.manual, ner.correct) The first step ...
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1
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155
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Named Entity Recognition using Spacy V3 with imbalance entities
Will the spacy V3 model get affected by imbalanced entities?
I have got a dataset annotated in spacy format and if I look into my custom entities the rations are different for different entities. For ...
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Spacy custom POS tagging for medical concepts
We are a group of doctors trying to use linguistic features of "Spacy", especially the part of speech tagging to show relationships between medical concepts like:
'Femoral artery ...
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467
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1
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105
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How to train a spaCy language model from scratch?
I am still quite a beginner with spaCy (although I already do enjoy it). I would like to create a language model for a language still unsupported, that is from scratch. I do have comprehensive text ...
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What approach I should take to extract number entity from dataset
I have the training, validation, and test dataset. The first column has store data and the second column has store numbers. I need to develop an entity extractor model which can extract store numbers ...
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spacy multi label classification help
I would like to create a multilabel text classification algorithm using SpaCy text multi label. I am unable to understand the following questions:
How to convert the training data to SpaCy format i....
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235
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Compare Books using book categories list NLP
I have a database of books. Each book has a list of categories that describe the genre/topics of the book (I use Python models).
The categories in the list most of the time are composed of 1 to 3 ...
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620
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Train a spaCy model for semantic similarity
I'm attempting to train a spaCy model for the purposes of computing semantic similarity but I'm not getting the results I would anticipate.
I have created two text files that contain many sentences ...
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91
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spaCy text classification based on NER
I'm pretty new to spaCy and NLP in general, and I'm trying to figure out how to classify text. I've already gone through quite a few tutorials, and have figured out how to train my model, based on ...
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How to extract details (educational details, exp details etc.) from a resume?
I am trying to build a resume parser which can extract details such as Name, Address, Education details (degree name, college name, university name, course duration), Experience details (designation, ...
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Open Source Annotation Tools for spaCy's Entity Linker?
According to the Tutorial "Training a custom ENTITY LINKING model with spaCy" (20:33) this is the training data format for spaCy's Entity Linker:
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How to identify/recognize that a sentence about talks about future?
Brief Introduction:
I have a report/paragraph in which there are sentences with reference to future plans/outlooks/expectations for a particular entity. I want to extract all such sentences for now.
...
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Converting to lowercase while creating dataset for NER using spacy
I am trying to make a custom entity model for an NER application using spacy. In several NLP projects, I have converted all the data to lowercase and applied several ML techniques. For NER also should ...
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Meaning of NER Training values using Spacy
I am trying to train custom entities using Spacy. During the training process I am getting number of values of LOSS, score etc. What is the meaning of these values
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Why do we calculate the vector of a document by averaging the vectors of all the words?
I am trying to build a search engine to query a folder of documents. Tutorials online suggest that we should obtain the vector of a document by averaging the vectors of all the words, then compare ...
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Traning New Entities in Spacy NER Model
I want to add new entities to python spacy NER module. I have few doubts regarding this.
Is it possible to remove some of the presently existing entities and add new entities to the remaining ones.
...
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Personal Project Classifying Bank Account Data - NLP Noob [closed]
Background:
I'm looking to get up to speed with some of the newer ML classification techniques and keep my ML python fresh in my spare time/learn some new skills, so as a challenge I'm trying to see ...
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Phone number tagging with spaCy
I have to do a BIO tagging for a given set of sentences.
For example:
...
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1k
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Does spaCy support multiple GPUs?
I was wondering if spaCy supports multi-GPU via mpi4py?
I am currently using spaCy's nlp.pipe for Named Entity Recognition on a high-performance-computing cluster ...
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2k
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ValueError: GPU is not accessible. Was the library installed correctly?
I installed spacy 3 in a venv and tried to execute:
spacy.require_gpu()
Then I got this as output:
...
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313
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How can I retrain existing spacy v3 NER model with additional data?
I have trained Spacy v3 model on 1 million rows and want to train for additional 1 million.
...
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Heauristics for a NER model prediction
I am trying to build and NER model that can name entities in a "Job description."
The entities are:
Mandatory skills (Must have skills like java, python, c++ etc.)
Nicetohave skills (the ...
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1
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How can i extract words from a single concatenated word?
I'm stuck on this problem and would love some input.
I have mulitple words such as getExtention, getPath, someWord or someword and i want to separate each concatinated words into its own words such as:...
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102
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NLP approaches to infer Processes from Text
I would like to use NLP techniques to infer a process out of raw text. For example, if I have a sentence like:
Recruitment is about attracting and selecting the right person for the job.
To get the ...
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How to make the spacy 3.0 custom NER model training to optimize on precision rather than recall?
My current custom NER model is good on recall but I want to focus on improving precision, is it possible to change the optimizer metric in config file?
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Spacy dependencymatcher pattern not returning matches
I am trying to create, add and get results from a pattern using spacy DependencyMatcher.
I created a pattern for the sentence: "From Monday to Friday"
The full pattern:
...
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337
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How to predict the sentiment of the entities form the tweet?
I have a JSON file (tweets.json) that contains tweets (sentences) along with the name of
the author.
Objective 1: Get the most frequent entities from the tweets.
Objective 2: Find out the sentiment/...
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Testing Spacy NER model
I've trained an NER model with the use of Spacy, and I would like to test the accuracy on a test dataset. What would be the best way to perform this?
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Extracting Names using NER | Spacy
I'm new to NER and I've been trying to extract names using Spacy. Here's my code:
...
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Medical NER for French language
I'm currently exploring the options to extract medical NER specifically for French language. I tried SpaCy's general French NER but it wasn't helpful to the cause (...
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