Wsdm2018 hyperqaReference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
Stars: ✭ 66 (-65.98%)
Dan Jurafsky Chris Manning NlpMy solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Stars: ✭ 124 (-36.08%)
NeuronblocksNLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
Stars: ✭ 1,356 (+598.97%)
Shift Ctrl F🔎 Search the information available on a webpage using natural language instead of an exact string match.
Stars: ✭ 1,023 (+427.32%)
Turkish Bert Nlp PipelineBert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.
Stars: ✭ 85 (-56.19%)
AwesomemrcThis repo is our research summary and playground for MRC. More features are coming.
Stars: ✭ 162 (-16.49%)
MullowbivqaHadamard Product for Low-rank Bilinear Pooling
Stars: ✭ 57 (-70.62%)
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 (+1657.22%)
Zeronet Dev CenterA Development Center for the ZeroNet. Tutorials on ZeroNet Zite Development, Collaboration, and Questions
Stars: ✭ 21 (-89.18%)
Cape WebservicesEntrypoint for all backend cape webservices
Stars: ✭ 149 (-23.2%)
Happy TransformerA package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models
Stars: ✭ 97 (-50%)
Hq bot📲 Bot to help solve HQ trivia
Stars: ✭ 167 (-13.92%)
Simple Qa Emnlp 2018Code for my EMNLP 2018 paper "SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach"
Stars: ✭ 87 (-55.15%)
Kbqa Ar SmcnnQuestion answering over Freebase (single-relation)
Stars: ✭ 129 (-33.51%)
SoqalArabic Open Domain Question Answering System using Neural Reading Comprehension
Stars: ✭ 72 (-62.89%)
TriviaqaCode for the TriviaQA reading comprehension dataset
Stars: ✭ 184 (-5.15%)
Logic guided qaThe official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
Stars: ✭ 55 (-71.65%)
DenspiReal-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)
Stars: ✭ 162 (-16.49%)
Acl18 resultsCode to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?"
Stars: ✭ 31 (-84.02%)
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 (+658.76%)
Ama[[I'm slow at replying these days, but I hope to get back to answering questions eventually]] Ask me anything!
Stars: ✭ 102 (-47.42%)
FlexneuartFlexible classic and NeurAl Retrieval Toolkit
Stars: ✭ 99 (-48.97%)
Rat SqlA relation-aware semantic parsing model from English to SQL
Stars: ✭ 169 (-12.89%)
Vqa TensorflowTensorflow Implementation of Deeper LSTM+ normalized CNN for Visual Question Answering
Stars: ✭ 98 (-49.48%)
Question answering modelsThis repo collects and re-produces models related to domains of question answering and machine reading comprehension
Stars: ✭ 139 (-28.35%)
Sentence SimilarityPyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
Stars: ✭ 96 (-50.52%)
OpenqaThe source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".
Stars: ✭ 188 (-3.09%)
Neural kbqaKnowledge Base Question Answering using memory networks
Stars: ✭ 87 (-55.15%)
Question AnsweringTensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
Stars: ✭ 133 (-31.44%)
AmasAwesome & Marvelous Amas
Stars: ✭ 1,273 (+556.19%)
Improved Dynamic Memory Networks Dmn PlusTheano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)
Stars: ✭ 165 (-14.95%)
ChinesenlpDatasets, SOTA results of every fields of Chinese NLP
Stars: ✭ 1,206 (+521.65%)
MedquadMedical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
Stars: ✭ 129 (-33.51%)
Farm🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Stars: ✭ 1,140 (+487.63%)
SimpletransformersTransformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Stars: ✭ 2,881 (+1385.05%)
Knowledge Aware ReaderPyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"
Stars: ✭ 123 (-36.6%)
Bidaf KerasBidirectional Attention Flow for Machine Comprehension implemented in Keras 2
Stars: ✭ 60 (-69.07%)
Rczooquestion answering, reading comprehension toolkit
Stars: ✭ 163 (-15.98%)
ClicrMachine reading comprehension on clinical case reports
Stars: ✭ 123 (-36.6%)
Cdqa Annotator⛔ [NOT MAINTAINED] A web-based annotator for closed-domain question answering datasets with SQuAD format.
Stars: ✭ 48 (-75.26%)
Chinese Rc DatasetsCollections of Chinese reading comprehension datasets
Stars: ✭ 159 (-18.04%)
TableqaAI Tool for querying natural language on tabular data.
Stars: ✭ 109 (-43.81%)
AnyqFAQ-based Question Answering System
Stars: ✭ 2,336 (+1104.12%)
Awesome KgqaA collection of some materials of knowledge graph question answering
Stars: ✭ 188 (-3.09%)
Questgen.aiQuestion generation using state-of-the-art Natural Language Processing algorithms
Stars: ✭ 169 (-12.89%)
Nspm🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
Stars: ✭ 156 (-19.59%)
ChatbotРусскоязычный чатбот
Stars: ✭ 106 (-45.36%)