All Projects → QA4IE → Similar Projects or Alternatives

290 Open source projects that are alternatives of or similar to QA4IE

Dan Jurafsky Chris Manning Nlp
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Stars: ✭ 124 (+416.67%)
ReQuest
Indirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)
Stars: ✭ 26 (+8.33%)
Instahelp
Instahelp is a Q&A portal website similar to Quora
Stars: ✭ 21 (-12.5%)
Mutual labels:  question-answering
verseagility
Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
Stars: ✭ 23 (-4.17%)
Mutual labels:  question-answering
CogIE
CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021
Stars: ✭ 47 (+95.83%)
Mutual labels:  information-extraction
gotor
This program provides efficient web scraping services for Tor and non-Tor sites. The program has both a CLI and REST API.
Stars: ✭ 97 (+304.17%)
Mutual labels:  information-extraction
slotminer
Tool for slot extraction from text
Stars: ✭ 15 (-37.5%)
Mutual labels:  information-extraction
pair2vec
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Stars: ✭ 62 (+158.33%)
Mutual labels:  question-answering
minie
An open information extraction system that provides compact extractions
Stars: ✭ 83 (+245.83%)
Mutual labels:  information-extraction
backprop
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Stars: ✭ 229 (+854.17%)
Mutual labels:  question-answering
Shukongdashi
使用知识图谱,自然语言处理,卷积神经网络等技术,基于python语言,设计了一个数控领域故障诊断专家系统
Stars: ✭ 109 (+354.17%)
Mutual labels:  question-answering
HAR
Code for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"
Stars: ✭ 22 (-8.33%)
Mutual labels:  question-answering
TeBaQA
A question answering system which utilises machine learning.
Stars: ✭ 17 (-29.17%)
Mutual labels:  question-answering
neji
Flexible and powerful platform for biomedical information extraction from text
Stars: ✭ 37 (+54.17%)
Mutual labels:  information-extraction
strategyqa
The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
Stars: ✭ 27 (+12.5%)
Mutual labels:  question-answering
NCE-CNN-Torch
Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)
Stars: ✭ 54 (+125%)
Mutual labels:  question-answering
programjs
A comprehensive, minimal npm package of common data structures and algorithms in ES6 developed for production use.
Stars: ✭ 15 (-37.5%)
InformationExtractionSystem
Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.
Stars: ✭ 27 (+12.5%)
Mutual labels:  information-extraction
news-graph
Key information extraction from text and graph visualization
Stars: ✭ 83 (+245.83%)
Mutual labels:  information-extraction
MLH-Quizzet
This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.
Stars: ✭ 23 (-4.17%)
Mutual labels:  question-answering
GrailQA
No description or website provided.
Stars: ✭ 72 (+200%)
Mutual labels:  question-answering
QANet
A TensorFlow implementation of "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"
Stars: ✭ 31 (+29.17%)
Mutual labels:  question-answering
django-simple-forum
full featured forum, easy to integrate and use.
Stars: ✭ 65 (+170.83%)
Mutual labels:  question-answering
strategy
Improving Machine Reading Comprehension with General Reading Strategies
Stars: ✭ 35 (+45.83%)
Mutual labels:  question-answering
Quijote-simulations
Large suite of N-body simulations
Stars: ✭ 69 (+187.5%)
Mutual labels:  information-extraction
FreebaseQA
The release of the FreebaseQA data set (NAACL 2019).
Stars: ✭ 55 (+129.17%)
Mutual labels:  question-answering
TableDisentangler
Functional and structural analysis of tables in research papers (Table disentangling)
Stars: ✭ 21 (-12.5%)
Mutual labels:  information-extraction
HHH-An-Online-Question-Answering-System-for-Medical-Questions
HBAM: Hierarchical Bi-directional Word Attention Model
Stars: ✭ 44 (+83.33%)
Mutual labels:  question-answering
TabInOut
Framework for information extraction from tables
Stars: ✭ 37 (+54.17%)
Mutual labels:  information-extraction
alter-nlu
Natural language understanding library for chatbots with intent recognition and entity extraction.
Stars: ✭ 45 (+87.5%)
Mutual labels:  information-extraction
ODSQA
ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET
Stars: ✭ 43 (+79.17%)
Mutual labels:  question-answering
dialogbot
dialogbot, provide search-based dialogue, task-based dialogue and generative dialogue model. 对话机器人,基于问答型对话、任务型对话、聊天型对话等模型实现,支持网络检索问答,领域知识问答,任务引导问答,闲聊问答,开箱即用。
Stars: ✭ 96 (+300%)
Mutual labels:  question-answering
gated-attention-reader
Tensorflow/Pytorch implementation of Gated Attention Reader
Stars: ✭ 37 (+54.17%)
Mutual labels:  question-answering
Dynamic-Coattention-Network-for-SQuAD
Tensorflow implementation of DCN for question answering on the Stanford Question Answering Dataset (SQuAD)
Stars: ✭ 14 (-41.67%)
Mutual labels:  question-answering
patrick-wechat
⭐️🐟 questionnaire wechat app built with taro, taro-ui and heart. 微信问卷小程序
Stars: ✭ 74 (+208.33%)
Mutual labels:  question-answering
deduce
Deduce: de-identification method for Dutch medical text
Stars: ✭ 40 (+66.67%)
Mutual labels:  information-extraction
Deep-NLP-Resources
Curated list of all NLP Resources
Stars: ✭ 65 (+170.83%)
Mutual labels:  information-extraction
Question-Answering-based-on-SQuAD
Question Answering System using BiDAF Model on SQuAD v2.0
Stars: ✭ 20 (-16.67%)
Mutual labels:  question-answering
simple NER
simple rule based named entity recognition
Stars: ✭ 29 (+20.83%)
Mutual labels:  information-extraction
Knowledge Graph Wander
A collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods
Stars: ✭ 26 (+8.33%)
Mutual labels:  information-extraction
explicit memory tracker
[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
Stars: ✭ 35 (+45.83%)
Mutual labels:  question-answering
TypeNet
A Hierarchical Type system for fine grained entity typing
Stars: ✭ 51 (+112.5%)
Mutual labels:  information-extraction
GAR
Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021
Stars: ✭ 38 (+58.33%)
Mutual labels:  question-answering
KitanaQA
KitanaQA: Adversarial training and data augmentation for neural question-answering models
Stars: ✭ 58 (+141.67%)
Mutual labels:  question-answering
odinson
Odinson is a powerful and highly optimized open-source framework for rule-based information extraction. Odinson couples a simple, yet powerful pattern language that can operate over multiple representations of text, with a runtime system that operates in near real time.
Stars: ✭ 59 (+145.83%)
Mutual labels:  information-extraction
ds-algo
Implementation of common Data Structures and Algorithms with Go
Stars: ✭ 177 (+637.5%)
trinity-ie
Information extraction pipeline containing coreference resolution, named entity linking, and relationship extraction
Stars: ✭ 59 (+145.83%)
Mutual labels:  information-extraction
batterydatabase
Tools for auto-generating the battery-materials database.
Stars: ✭ 29 (+20.83%)
Mutual labels:  information-extraction
iww
AI based web-wrapper for web-content-extraction
Stars: ✭ 61 (+154.17%)
Mutual labels:  information-extraction
hf-experiments
Experiments with Hugging Face 🔬 🤗
Stars: ✭ 37 (+54.17%)
Mutual labels:  question-answering
nested-ner-tacl2020-flair
Implementation of Nested Named Entity Recognition using Flair
Stars: ✭ 23 (-4.17%)
Mutual labels:  information-extraction
FlowQA
Implementation of conversational QA model: FlowQA (with slight improvement)
Stars: ✭ 197 (+720.83%)
Mutual labels:  question-answering
calcipher
Calculates the best possible answer for multiple-choice questions using techniques to maximize accuracy without any other outside resources or knowledge.
Stars: ✭ 15 (-37.5%)
Mutual labels:  question-answering
golang-interview-questions
golang 面试集锦
Stars: ✭ 42 (+75%)
Mutual labels:  question-answering
QA HRDE LTC
TensorFlow implementation of "Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering," NAACL-18
Stars: ✭ 29 (+20.83%)
Mutual labels:  question-answering
DocuNet
Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
Stars: ✭ 84 (+250%)
Mutual labels:  information-extraction
BERT-for-Chinese-Question-Answering
No description or website provided.
Stars: ✭ 75 (+212.5%)
Mutual labels:  question-answering
algorithm-implementations
Competitive programming algorithms implementations
Stars: ✭ 11 (-54.17%)
iPerceive
Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Stars: ✭ 52 (+116.67%)
Mutual labels:  question-answering
question-answering
No description or website provided.
Stars: ✭ 32 (+33.33%)
Mutual labels:  question-answering
1-60 of 290 similar projects