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Search results for natural language processing evaluation metrics
evaluation-metrics
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natural-language-processing
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11 search results found
Octis
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647
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Pynlpl
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466
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP spec
Comet
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346
A Neural Framework for MT Evaluation
Pyrouge
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155
A Python wrapper for the ROUGE summarization evaluation package
Pythonrouge
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142
Python wrapper for evaluating summarization quality by ROUGE package
Easse
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141
Easier Automatic Sentence Simplification Evaluation
Nervaluate
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125
Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13
Erroranalysis_prompt
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79
🎁[ChatGPT4MTevaluation] ErrorAnalysis Prompt for MT Evaluation in ChatGPT
Rouge
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34
A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.
Summary Reward No Reference
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28
A reference-free metric for measuring summary quality, learned from human ratings.
Nlp Tools
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28
Useful python NLP tools (evaluation, GUI interface, tokenization)
Rougescore
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24
Python implementation of ROUGE
Nereval
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23
Evaluation script for named entity recognition (NER) systems based on entity-level F1 score.
Twitter Sentiment Analysis
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12
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
Capeval
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12
An image-oriented evaluation tool for image captioning systems (EMNLP-IJCNLP 2019)
Embeddingbased
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10
Embedding-based evaluation metrics for dialogue generation.
Restaurant Reviews Analysis
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10
Using Natural Language Processing and Bag of Words for feature extraction for sentiment analysis of the customers visited in the Restaurant and at last using Classification algorithm to separate Positive and Negative Sentiments.
Rome
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8
PyTorch code for ACL 2022 paper: RoMe: A Robust Metric for Evaluating Natural Language Generation https://aclanthology.org/2022.acl-long.387/
Fightin Words
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7
A scikit-learn compliant implementation of Monroe et al.'s Fightin' Words analysis method.
Employee Reviews
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7
This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments.
Korouge
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7
Calculating ROUGE score for Korean (Wrapper for ROUGE-1.5.5.pl script)
Fairsumm
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6
Code and Data for paper: Fair Abstractive Summarization of Diverse Perspectives
Amazon Alexa Reviews
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6
Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning
Cr Nmt
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6
Code and data realease for "Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge"
Chatgpt_as_nlg_evaluator
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5
Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
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