Natural Language Processing questions and answers
Tokenisation, embeddings, language models and text pipelines. Page 5 of 9.
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Answers 241-300
- How to use spaCy to create a new entity and learn only from keyword list
- How to use spacy train to add entities to an existing custom NER model? Spacy v3.0
- How to use tf.contrib.seq2seq.Helper for non-embedding data?
- How to use tf.nn.embedding_lookup_sparse in TensorFlow?
- How to use Transformers for text classification?
- How Transformer is Bidirectional - Machine Learning
- Huggingface TFBertForSequenceClassification always predicts the same label
- I want a machine to learn to categorize short texts
- Identifying a person's name vs. a dictionary word
- Identifying multiple categories and associated sentiment within text
- Identifying verb tenses in python
- Implementing Bag-of-Words Naive-Bayes classifier in NLTK
- Implementing skip gram with scikit-learn?
- Include another HTML file in a HTML file
- Is it possible to add your own WordNet to a library?
- Is it possible to `Embed` Gecko or Webkit in a Windows Form just like a WebView?
- Is it possible to guess a user's mood based on the structure of text?
- Is it possible to visualize keras embeddings in tensorboard?
- Is there a diff-like algorithm that handles moving block of lines?
- Is there a fast algorithm to remove repeated substrings in a string?
- Is there a fast way to parse through a large file with regex?
- Is there a simple way to remove multiple spaces in a string?
- Is there an algorithm that tells the semantic similarity of two phrases
- Is there an efficient algorithm for segmentation of handwritten text?
- Is there any good open-source or freely available Chinese segmentation algorithm available?
- Is there any way to detect strings like putjbtghguhjjjanika?
- Is there is difference between the keras layers Masking and Embeddingmask_zero True?
- Issue with embedding layer when serving a Tensorflow/Keras model with TF 2.0
- Java Open Source Text Mining Frameworks
- Java Stanford NLP Part of Speech labels?
- Javascript text similarity algorithm
- Keras - How to construct a shared Embedding Layer for each Input-Neuron
- Keras embedding layers how do they work?
- Keras Embedding ,where is the weights argument?
- Keras initialize large embeddings layer with pretrained embeddings
- Keras model.evaluate vs model.predict accuracy difference in multi-class NLP task
- Keras Text Preprocessing - Saving Tokenizer object to file for scoring
- List the words in a vocabulary according to occurrence in a text corpus, with Scikit-Learn CountVectorizer
- Log likelihood to implement Naive Bayes for Text Classification
- Logical fallacy detection and/or identification with natural-language-processing
- Longest palindrome in a string using suffix tree
- Machine Learning and Natural Language Processing
- making two strings into one
- MALLET How to implement crf based edit distance?
- Markov Chain Text Generation
- Match multiline text using regular expression
- Matching words and vectors in gensim Word2Vec model
- Medical information extraction using Python
- Merging pretrained models in Word2Vec?
- Methods for Geotagging or Geolabelling Text Content
- ML based domain specific named enitty recognition NER?
- Multiple embedding layers in keras
- Naive Bayesian for Topic detection using Bag of Words approach
- Natural Language Processing in PHP
- NLP and Machine learning for sentiment analysis
- NLP and Ruby to characterize quality of writing
- NLP for extracting actions from text
- NLP Transformers Best way to get a fixed sentence embedding-vector shape?
- NLP/Machine Learning text comparison
- NLTK corpus-level bleu vs sentence-level BLEU score
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