Knowledge GraphsA collection of research on knowledge graphs
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Paper ReadingPaper reading list in natural language processing, including dialogue systems and text generation related topics.
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ChatbotРусскоязычный чатбот
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SpagoSelf-contained Machine Learning and Natural Language Processing library in Go
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Bidaf KerasBidirectional Attention Flow for Machine Comprehension implemented in Keras 2
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Turkish Bert Nlp PipelineBert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.
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Adam qasADAM - A Question Answering System. Inspired from IBM Watson
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Gnn4nlp PapersA list of recent papers about Graph Neural Network methods applied in NLP areas.
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ClicrMachine reading comprehension on clinical case reports
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Chat基于自然语言理解与机器学习的聊天机器人,支持多用户并发及自定义多轮对话
Stars: ✭ 516 (+300%)
Sentence SimilarityPyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
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Cmrc2018A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
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JackJack the Reader
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Cdqa⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Stars: ✭ 500 (+287.6%)
Cdqa Annotator⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.
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Acl18 resultsCode to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
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Neural kbqaKnowledge Base Question Answering using memory networks
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NeuronblocksNLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
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Unified SummarizationOfficial codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.
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Nlp Pretrained ModelA collection of Natural language processing pre-trained models.
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Tensorflow NlpNLP and Text Generation Experiments in TensorFlow 2.x / 1.x
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Lingopackage lingo provides the data structures and algorithms required for natural language processing
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Cogcomp NlpyCogComp's light-weight Python NLP annotators
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Files2rougeCalculating ROUGE score between two files (line-by-line)
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RbertImplementation of BERT in R
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Knowledge Aware ReaderPyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"
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DeclutrThe corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
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Neuro🔮 Neuro.js is machine learning library for building AI assistants and chat-bots (WIP).
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Commonsense RcCode for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
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Opus MtOpen neural machine translation models and web services
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DialoglueDialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
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Nlp PapersPapers and Book to look at when starting NLP 📚
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DanlpDaNLP is a repository for Natural Language Processing resources for the Danish Language.
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Bi Att FlowBi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Stars: ✭ 1,472 (+1041.09%)
ScattertextBeautiful visualizations of how language differs among document types.
Stars: ✭ 1,722 (+1234.88%)
Detecting Scientific ClaimExtracting scientific claims from biomedical abstracts (powered by AllenNLP), demo:
Stars: ✭ 109 (-15.5%)
Deep LyricsLyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
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Fnc 1 BaselineA baseline implementation for FNC-1
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DiscobertCode for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)
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TableqaAI Tool for querying natural language on tabular data.
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Awesome Embedding ModelsA curated list of awesome embedding models tutorials, projects and communities.
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PymetamapPython wraper for MetaMap
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KadotKadot, the unsupervised natural language processing library.
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Nuspell🖋️ Fast and safe spellchecking C++ library
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Haystack🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
Stars: ✭ 3,409 (+2542.64%)
PapernotesMy personal notes and surveys on DL, CV and NLP papers.
Stars: ✭ 108 (-16.28%)