Natural Language Processing questions and answers
Tokenisation, embeddings, language models and text pipelines. Page 2 of 9.
ML System Design practice on Codemia
Design recommenders, ranking systems and training pipelines the way ML interviews actually ask for them, with worked solutions.
Answers 61-120
- Converting all text to lower case in Objective-C
- Converting tokens to word vectors effectively with TensorFlow Transform
- Count letter frequency in word list, excluding duplicates in the same word
- Count word frequency in a text?
- Counting number of words in a file
- Creating training data for a Maxent classfier in Java
- Custom combined hinge/kb-divergence loss function in siamese-net fails to generate meaningful speaker-embeddings
- Custom combined hinge/kb-divergence loss function in siamese-net fails to generate meaningful speaker-embeddings
- Decode HTML entities in Python string?
- Delete every non utf-8 symbols from string
- Detect differences between two strings
- Difference between feature_column.embedding_column and keras.layers.Embedding in TensorFlow
- difference between Latent and Explicit Semantic Analysis
- Difference between solr and lucene
- Difference in values of tf-idf matrix using scikit-learn and hand calculation
- Do Not Embed, `Embed` Sign, `Embed` Without Signing. What are they?. What they do?
- Document similarity Vector embedding versus Tf-Idf performance?
- Does an algorithm exist to help detect the primary topic of an English sentence?
- Does applying a Dropout Layer after the Embedding Layer have the same effect as applying the dropout through the LSTM dropout parameter?
- Does Word2Vec has a hidden layer?
- does word2vec tutorial example imply potential sub-optimal implementation?
- Doing Multi-Label classification with BERT
- Efficent way to split a large text file in python
- Efficient way of resolving unknown words to known words?
- Efficiently Finding Closest Word In TensorFlow Embedding
- EM score in SQuAD Challenge
- EM score in SQuAD Challenge
- Embedding DLLs in a compiled executable
- Embedding lookup table doesn't mask padding value
- Error correction in names
- Error loading Embedding Projector with Tensorboard
- Error with TfidfVectorizer but ok with CountVectorizer
- Explain with example how embedding layers in keras works
- Extracting Key-Phrases from text based on the Topic with Python
- Fail to run word embedding example in tensorflow tutorial with GPUs
- Feature selection using bigram
- Feeding data through an embedding wrapper in TensorFlow
- Find a string between 2 known values
- Find all english word substrings of a given string
- Find all numbers in the String
- Find and extract a number from a string
- Find out if Character in String is emoji?
- Find string between two substrings
- Find substring in text which has the highest similarity to a given keyword
- Find the highest occuring words in a string C
- Find the number of occurrences of a subsequence in a string
- Find the Number of Occurrences of a Substring in a String
- Finding all the common substrings of given two strings
- Finding head of a noun phrase in NLTK and stanford parse according to the rules of finding head of a NP
- Finding how similar two strings are
- Finding meaningful sub-sentences from a sentence
- Focused Named Entity Recognition NER?
- Function that returns affinity between texts?
- Fuzzy search algorithm approximate string matching algorithm
- Fuzzy text sentences/titles matching in C
- General Address Parser for Freeform Text
- Generating RDF From Natural Language
- gensim Doc2Vec vs tensorflow Doc2Vec
- Get weight matrices from gensim word2Vec
- Getting a Large List of Nouns or Adjectives in Python with NLTK; or Python Mad Libs
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