lexsub | lexical substitution evaluation | Natural Language Processing library
kandi X-RAY | lexsub Summary
kandi X-RAY | lexsub Summary
This code was used to perform the lexical substitution evaluation described in the following papers:. [1] A Simple Word Embedding Model for Lexical Substitution Oren Melamud, Omer Levy, Ido Dagan. Workshop on Vector Space Modeling for NLP (VSM), 2015 [pdf]. [2] context2vec: Learning Generic Context Embedding with Bidirectional LSTM Oren Melamud, Jacob Goldberger, Ido Dagan. CoNLL, 2016 [pdf].
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Top functions reviewed by kandi - BETA
- Finds inferred word embedding
- Get dependencies of a sentence
- Extract contexts from lst_instance
- Get the neighbors of the target
- Finds the inferred target word from lst_instance
- Convert a vector to a string
- Represent the target and context
- Find the inferred embeddings for a given lst_instance
- Return the closest n scores
- Filters out inferred words that match the given term
- Add an inference result
- Calculate the score between the two values
- Aggregate the gold score
- Filters out inferred results based on the lemmatizer
- Generate inferred results based on a given word
- Find the closest similarity between two targets
- Find the closest word in the corpus
- Return the first n words with the given prefix
- Parse a single line from a tree line
- Read vectors from file
lexsub Key Features
lexsub Examples and Code Snippets
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Trending Discussions on lexsub
QUESTION
I have already referred to all the question related to the No module named questions on StackOverflow and had no luck in addressing my specific issue. Hence, am posting this question.
I am currently working on a python project and am trying to run the run_bsg.py
file from this project. However, I keep getting the following error.
ANSWER
Answered 2019-May-23 at 05:49I'm reposting the answer to this question as @ClockSlave had suggested. According to the following error line,
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Install lexsub
You can use lexsub like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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