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How to improve accuracy of Named entity recognition (NER) tagger on local data?

nlp named-entity-recognition

answered 57 mins ago Nischal Hp 431

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How word embedding work for word similarity?

nlp word2vec word-embeddings gensim

answered 9 hours ago Aruna Maurya 1

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How to compute unseen bi-grams in a corpus (for Good-Turing Smoothing)

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Classifying objects based of a varying number of the same type of feature vector for each object

neural-network classification keras nlp feature-selection

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Is it a red flag that increasing the number of parameters makes the model less able to overfit small amounts of data?

deep-learning nlp lstm cnn named-entity-recognition

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Finding the most phonetically similar word from WordNet

nlp similarity

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Memory Neural Network to convert binary vector to string

neural-network nlp lstm

asked 2 days ago innuendo 1

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Text extraction from documents using NLP or Deep Learning

deep-learning nlp text-mining reinforcement-learning named-entity-recognition

answered 2 days ago Jameezzz 1

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Possible reasons for word2vec learning context words as most similar rather than words in similar contexts

neural-network deep-learning nlp word2vec word-embeddings

answered 2 days ago Skiddles 485

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When one model is superior in real world use?

neural-network keras nlp

modified 2 days ago Community♦ 1

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How to read Feature Based Grammar from a string

python nlp nltk

answered Dec 7 at 9:12 Rishi Bansal 101

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Word2Vec vs. Sentence2Vec vs. Doc2Vec

machine-learning data-mining clustering nlp unsupervised-learning

modified Dec 6 at 15:44 Stephen Rauch 1,307

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How to create domain rules from raw unstructured text using NLP and deep learning?

machine-learning deep-learning nlp

modified Dec 6 at 15:03 Community♦ 1

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What are common ways to identify subject and object from a question?

machine-learning nlp

answered Dec 6 at 14:51 Shamit Verma 131

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