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NeuralqaNeuralQA: A Usable Library for Question Answering on Large Datasets with BERT
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Lingua👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike
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PytextrankPython implementation of TextRank for phrase extraction and summarization of text documents
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SoulvercoreA powerful Swift framework for evaluating mathematical expressions
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Deep Semantic Similarity ModelMy Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
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LanguagetoolStyle and Grammar Checker for 25+ Languages
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parallel-corpora-toolsTools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.
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perkeA keyphrase extractor for Persian
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Nlp RecipesNatural Language Processing Best Practices & Examples
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WikisqlA large annotated semantic parsing corpus for developing natural language interfaces.
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BotlibreAn open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.
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sparklanesA lightweight data processing framework for Apache Spark
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Link GrammarThe CMU Link Grammar natural language parser
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Cdqa⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
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Cogcomp NlpCogComp's Natural Language Processing libraries and Demos:
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Knowledge GraphsA collection of research on knowledge graphs
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PkePython Keyphrase Extraction module
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CatalystAccelerated deep learning R&D
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ScdvText classification with Sparse Composite Document Vectors.
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Drl4nlp.scratchpadNotes on Deep Reinforcement Learning for Natural Language Processing papers
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TexarToolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
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GensimTopic Modelling for Humans
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nalcosSearch Git commits in natural language
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Vec4irWord Embeddings for Information Retrieval
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TalismanStraightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.
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LudwigData-centric declarative deep learning framework
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Text Analytics With PythonLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
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NgseasyDockerised Next Generation Sequencing Pipeline (QC, Align, Calling, Annotation)
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PipeDSP pipeline
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TypenovelA simple markup language to write novel with types.
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Opennmt TfNeural machine translation and sequence learning using TensorFlow
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Character MiningMining individual characters in multiparty dialogue
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MlA high-level machine learning and deep learning library for the PHP language.
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Ja.text8Japanese text8 corpus for word embedding.
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Textrank Keyword ExtractionKeyword extraction using TextRank algorithm after pre-processing the text with lemmatization, filtering unwanted parts-of-speech and other techniques.
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StemmerFast Porter stemmer implementation
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SetlA simple Spark-powered ETL framework that just works 🍺
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DeepmojiState-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
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NlpThis is where I put all my work in Natural Language Processing
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The AppSample application and CD Pipeline for DevOps Dojo
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SolrpluginsDice Solr Plugins from Simon Hughes Dice.com
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Practical 3 Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs
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Bio embeddingsGet protein embeddings from protein sequences
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Chinese XlnetPre-Trained Chinese XLNet(中文XLNet预训练模型)
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Jira Steps PluginJenkins pipeline steps for integration with JIRA.
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ClusterflowA pipelining tool to automate and standardise bioinformatics analyses on cluster environments.
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MachineMachine is a workflow/pipeline library for processing data
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AbigsurveyA collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)
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Pyndripyndri is a Python interface to the Indri search engine.
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Dialogue UnderstandingThis repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
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