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COVID19-IRQANo description or website provided.
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TOEFL-QAA question answering dataset for machine comprehension of spoken content
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iamQA中文wiki百科QA阅读理解问答系统,使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型,还有W2V词向量搜索,使用torchserve部署
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Knowledge GraphsA collection of research on knowledge graphs
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Cdqa⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
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Dan Jurafsky Chris Manning NlpMy solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
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cmrc2017The First Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2017)
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Medi-CoQAConversational Question Answering on Clinical Text
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HARCode for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"
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DrFAQDrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.
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gplPowerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
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beirA Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
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TriB-QA吹逼我们是认真的
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cherche📑 Neural Search
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KitanaQAKitanaQA: Adversarial training and data augmentation for neural question-answering models
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mcQA🔮 Answering multiple choice questions with Language Models.
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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Cross-Lingual-MRCCross-Lingual Machine Reading Comprehension (EMNLP 2019)
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explicit memory tracker[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
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ODSQAODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET
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FlexneuartFlexible classic and NeurAl Retrieval Toolkit
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BERT-QECode and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".
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extractive rc by runtime mtCode and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"
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PersianQAPersian (Farsi) Question Answering Dataset (+ Models)
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bert experimentalcode and supplementary materials for a series of Medium articles about the BERT model
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TorchBlocksA PyTorch-based toolkit for natural language processing
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textgoText preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!
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DVQA datasetDVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018
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autocompleteEfficient and effective query auto-completion in C++.
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SWDMSIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model
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squadgymEnvironment that can be used to evaluate reasoning capabilities of artificial agents
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LightLM高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task
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wsdm-digg-2020No description or website provided.
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WikiQAVery Simple Question Answer System using Chinese Wikipedia Data
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head-qaHEAD-QA: A Healthcare Dataset for Complex Reasoning
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bert sabert sentiment analysis tensorflow serving with RESTful API
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unanswerable qaThe official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
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