Questions tagged [spacy]
Industrial strength Natural Language Processing (NLP) with Python and Cython
58
questions
0
votes
0answers
24 views
Cross validation in SpaCy NER
I'm working on a custom NER model that I created with SpaCy, and for training/testing purposes I would like to use cross validation. Does SpaCy have the option to somehow perform this? If not, what ...
2
votes
1answer
20 views
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 ...
0
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0answers
29 views
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:
...
0
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0answers
25 views
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.
...
2
votes
1answer
21 views
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 ...
1
vote
1answer
32 views
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:...
1
vote
1answer
45 views
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 ...
0
votes
0answers
16 views
Generate UML diagrams after analyzing given text requirement using NLP
I want to generate UML diagrams (use-case,activity,sequence,class) from a given text requirement that look like this.
And I want to use python NLP library such as Spacy to identify actors, actions, ...
2
votes
2answers
73 views
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?
2
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0answers
21 views
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:
...
0
votes
1answer
24 views
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/...
2
votes
1answer
33 views
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?
0
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0answers
26 views
Extracting “hidden” costs from financial statements using NLP
I'm designing a NLP model to extract various kinds of "hidden" expenses from 10-K and 10-Q financial statements. I've come up with about 7 different expense categories (restructuring costs, ...
0
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1answer
42 views
1
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1answer
79 views
Extracting Names using NER | Spacy
I'm new to NER and I've been trying to extract names using Spacy. Here's my code:
...
3
votes
0answers
34 views
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 (...
0
votes
0answers
79 views
Spacy custom NER-Model - losses too high?
I trained a Spacy model with 1269 examples for 5 entities. I get losses as follows. Is that too high?
...
1
vote
1answer
30 views
Spacy - Ignored (essential) entities during labeling - how important is this aspect?
I'm training a custom Spacy model. Does it affect the results whether I leave entities unlabeled? For example, Germany is LOC. In one example (1) I label this. In the other example (2) I ignore it and ...
5
votes
2answers
388 views
Converting paragraphs into sentences
I'm looking for ways to extract sentences from paragraphs of text containing different types of punctuations and all. I used SpaCy's ...
3
votes
2answers
169 views
Is NLP suitable for my legal contract parsing problem?
My company has a product that involves the extraction of a variety of fields from legal contract PDFs. The current approach is very time consuming and messy, and I am exploring if NLP is a suitable ...
2
votes
1answer
47 views
How to go about training a NER model to extract book citations in free-form?
I'm doing a project where I wish to create a graph visualization of free-form citations (not academic style citations) across all my e-books. E.g. David Foster Wallace's essays cite a lot of other ...
2
votes
0answers
243 views
improve NER model accuracy with spaCy dependency tree
I have search at lot, was not able to find a solution for my problem...
I am training a NER model, that should detect two types of words: Instructions and Conditions. This is not the standard use-case ...
0
votes
0answers
193 views
Training custom NER on OCR text with SpaCy won't train
I want to perform information extraction from documents. I wanted to try Spacy's NER method, so I follow following steps :
1)OCR on text document, using Tesseract. As output I have a list of words ...
0
votes
1answer
34 views
making conclusions after sentiment analysis
After performing some sentiment analysis, I have a dataset that looks like this:
For different products, using online reviews, I have obtained some values for positive/negative sentiments. However, ...
3
votes
1answer
74 views
Smart sentence segmentation not splitting on abbreviations
Sentencer from SpaCy and NLTK does not catch the fact that typical abbreviations (e.g. Mio. for Million in German) and the ...
2
votes
1answer
113 views
Spacy tokenizer that strips HTML/XML keeping the positions
I'm new to Spacy and infact new to Data Science. I would like to process some XML files for NER and then mark that in the original XML. I would like to know how to tokenize the XML for the NER. I ...
0
votes
1answer
617 views
How to serialize/pickle a spacy ner model?
I have trained a custom SpaCy named entity recognition model. I saved the model to disk using:
nlp.to_disk()
which results in keeping the model in a folder. Is it ...
2
votes
1answer
586 views
Twitter POS and NER: What is state-of-the-art?
What is the current state-of-the-art for pos tagging and named entity recognition for twitter data? Are industrial-strength programs like Spacy and ...
2
votes
1answer
239 views
Detect passive voice in headlines
To detect passive voice in sentences, we can use the spacy module to tag each token in the sentence, then build a classifier to classify it as passive or active based on conventional grammatical rules,...
0
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1answer
86 views
Text Classification on a very small data set with a lot of classes
I have a data set consisting of 455 rows spread over 21 different classes. The data set is imbalanced as well as you can see below.
...
1
vote
2answers
41 views
How do you distinguish between conversational text and possible news article?
Context
When you receive messages in group chats, how do you detect if that message belongs to conversational dialogue or if it is a 'news' article (could be fake or real) that they are sharing?
...
0
votes
1answer
232 views
spaCy - Text Preprocessing - Keeping “Pronouns” in text
I am fairly new to machine learning and NLP in general. I am trying to wrap my head around how to do proper text pre-processing (cleaning the text).
I have built a custom text classification model. I ...
1
vote
1answer
54 views
Organization finder in spaCy
I am trying to find the parties between which the agreement is executed from the statement below.
AGREEMENT, dated as of January 10, 2000, is entered into by and between ABC-EFG GROUP Inc. having an ...
3
votes
1answer
2k views
Address parsing using spaCy
I am trying to parse addresses from various documents using spaCy using NER but the results are not so accurate.
I know this is bit generic question but it would be a great help if I could get ...
1
vote
1answer
95 views
SpaCy string store
I am trying to get the hash values for some English words from the string store of SpaCy.
...
0
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1answer
261 views
What should return doc.ents if the doc have no entities, in spacy?
I want to answer this question: "How many sentences contain named entities given a doc?"
and I have this piece of code as solution
...
1
vote
0answers
269 views
Flair Custom NER
I'm working on a problem in the domain of NER. I have a dataset wherein I need to have custom tags for different entities. I don't know how to start or even where to start. I know that there are ...
2
votes
0answers
206 views
Character-level embeddings in python
I'm working on an NLP task that requires the use of character level embeddings, and I've been trying to use Spacy. However, it seems that spacy uses word-level embeddings for the word vectors, and I ...
0
votes
1answer
80 views
Where does spacy, nltk, prodigy, sklearn fit in the AI project?
Where does tools like spacy, sklearn, prodigy, nltk fit in the below AI project architecture and what are some common alternatives to these:
1
vote
1answer
912 views
Spacy v2.0.1 custom NER: How to improve training of existing model
I implemented custom NER with bellow trained data first time and it gives me good prediction with Name and PrdName. I mentioned code bellow.
...
3
votes
0answers
45 views
Change the way spacy works - Custom properties for training and prediction
Spacy detects the entities using its predefined algorithm. It parses tokens in text considering position of tokens with respect to tokens surrounding it. It also takes into consideration the POS ...
2
votes
1answer
1k views
Can not install spacy package on windows 10 via pip
I have below environment.
OS: Windows 10
Python: Python 3.7.4
PIP: pip 19.3.1
I am trying to install spacy in my windows 10 OS. It gives me below error.
...
2
votes
1answer
206 views
Difficulty interpreting word embedding vector similarity (spaCy)
I calculate vector similarities like this:
...
5
votes
3answers
84 views
0
votes
2answers
202 views
How to obtain the word vectors optimally
I have a list of strings as shown
sent_list = ["Carrefour is in France", "Apple pie is delicious", "Amazon has just delivered", ...]
My code to get word ...
0
votes
1answer
227 views
NLP techniques to label unlabeled data in a dataset [closed]
So I have a .xls file with negative and neutral reviews of a medicine. However, this dataset does not have labels. I converted this .xls into a dataframe and I am using the Spacy Lib.
I have to use ...
0
votes
2answers
564 views
Custom POS tags with SpaCy for NER
Quite new to NLP and especially NER. I'm trying to train a NER model on a custom dataset. This is a dataset of houses for sale. As part of the entities I'm training the model to extract are reference ...
0
votes
1answer
336 views
Will the performance of my NER model improve?
I am training a spacy model from scratch by creating a dataset of my own with format spacy needs it to be in, the model is an NER model and the entity i am trying to recognize is Food items. I have ...
3
votes
1answer
808 views
Spacy word embeddings for sentence
Spacy offers pre-trained vectors for words. However I have notices that you can get vectors for sentences too:
spacy_nlp('hello I').has_vector == True
However I ...
4
votes
1answer
3k views
Is there any way to define custom entities in Spacy
1) I have just started working on NLP the basic Idea is to extract meaningful information from text. For this I am using "Spacy".
As far as I have studied Spacy has following entities.
ORG
PERSON
...
