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Bi-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.

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Datasets, SOTA results of every fields of Chinese NLP

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Awesome & Marvelous Amas

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A collection of research on knowledge graphs

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model-zoo / shift-ctrl-f

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🔎 Search the information available on a webpage using natural language instead of an exact string match.

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nlpodyssey / spago

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Self-contained Machine Learning and Natural Language Processing library in Go

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chatopera / insuranceqa-corpus-zh

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🚁 保险行业语料库，聊天机器人

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brylevkirill / notes

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Resources to learn more about Machine Learning and Artificial Intelligence

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nlp survey vqa question-answering cqa kbqa qa-survey tqa

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Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

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google-research / tapas

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End-to-end neural table-text understanding models.

tensorflow question-answering nlp-machine-learning table-parsing

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NTMC-Community / awesome-neural-models-for-semantic-match

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A curated list of papers dedicated to neural text (semantic) matching.

information-retrieval deep-learning text-similarity question-answering semantic-matching neu-ir

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seriousran / awesome-qa

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😎 A curated list of the Question Answering (QA)

nlp awesome watson question-answering awesome-list squad bert machine-comprehension deepqa

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milvus-io / bootcamp

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Open

[Feature Request]: The question_answer_system cannot improt Chinese

1

mysunnyshine commented Oct 20, 2021

Is there an existing issue for this?

I have searched the existing issues

Current Behavior

导入英文没问题，但是导入中文会出错

Expected Behavior

期望导入中文也正常

Steps To Reproduce

按照 2.0 教程必现

Software version

Milvus: [e.g. 2.0.0rc7]
Server: [e.g. 2.0.0]
Client: [e.g. 2.0.0]

Anything else?

No response

natural-language-processing knowledge-graph question-answering knowledge-representation graph-convolutional-networks knowledge-based-systems paperlist paper-list graph-neural-network graph-attention-network heterogeneous-graphs

Updated Jul 28, 2021

SnakeHacker / QA-Snake

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基于多搜索引擎和深度学习技术的自动问答

question-answering

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Python

vinhkhuc / MemN2N-babi-python

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End-To-End Memory Networks for bAbI question-answering tasks

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Decalogue / chat

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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

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Updated Jun 29, 2020
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cdqa-suite / cdQA

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⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

nlp natural-language-processing information-retrieval deep-learning transformers pytorch artificial-intelligence question-answering reading-comprehension bert

Updated Apr 30, 2020
Python

question-answering

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brightmart / nlp_chinese_corpus

deepmipt / DeepPavlov

qq547276542 / Agriculture_KnowledgeGraph

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deepset-ai / haystack

Create Tutorial on GermanQuAD and GermanDPR

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allenai / bi-att-flow

didi / ChineseNLP

deepset-ai / FARM

microsoft / NeuronBlocks

sindresorhus / amas

wudi / PHP-Interview-Best-Practices-in-China

shaoxiongji / knowledge-graphs

model-zoo / shift-ctrl-f

nlpodyssey / spago

SimmerChan / KG-demo-for-movie

brightmart / bert_language_understanding

chatopera / insuranceqa-corpus-zh

brylevkirill / notes

BDBC-KG-NLP / QA-Survey

guillaume-be / rust-bert

google-research / tapas

NTMC-Community / awesome-neural-models-for-semantic-match

seriousran / awesome-qa

milvus-io / bootcamp

[Feature Request]: The question_answer_system cannot improt Chinese

Is there an existing issue for this?

Current Behavior

Expected Behavior

Steps To Reproduce

Software version

Anything else?

Create Katacoda Scenario for Solutions

Pick an issue and become a Bootcamp contributor!

IndexFziQ / GNN4NLP-Papers

SnakeHacker / QA-Snake

vinhkhuc / MemN2N-babi-python

Decalogue / chat

cdqa-suite / cdQA

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