Farm🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Stars: ✭ 1,140 (+345.31%)
text2textText2Text: Cross-lingual natural language processing and generation toolkit
Stars: ✭ 188 (-26.56%)
unanswerable qaThe official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
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WikiTableQuestionsA dataset of complex questions on semi-structured Wikipedia tables
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tg2021taskParticipant Kit for the TextGraphs-15 Shared Task on Explanation Regeneration
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PororoQAPororoQA, https://arxiv.org/abs/1707.00836
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syntaxdotNeural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
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TOEFL-QAA question answering dataset for machine comprehension of spoken content
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denspiReal-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)
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GARCode and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021
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rl-trained-agentsA collection of pre-trained RL agents using Stable Baselines3
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co-attentionPytorch implementation of "Dynamic Coattention Networks For Question Answering"
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pptodMulti-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)
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mrqaCode for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"
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DVQA datasetDVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018
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deformer[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
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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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PersianQAPersian (Farsi) Question Answering Dataset (+ Models)
Stars: ✭ 114 (-55.47%)
query-focused-sumOfficial code repository for "Exploring Neural Models for Query-Focused Summarization".
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text classifierTensorflow2.3的文本分类项目,支持各种分类模型,支持相关tricks。
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productqaProduct-Aware Answer Generation in E-Commerce Question-Answering
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MSMARCOMachine Comprehension Train on MSMARCO with S-NET Extraction Modification
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patrick-wechat⭐️🐟 questionnaire wechat app built with taro, taro-ui and heart. 微信问卷小程序
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Pytorch-NLUPytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…
Stars: ✭ 151 (-41.02%)
cdQA-ui⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.
Stars: ✭ 19 (-92.58%)
squadgymEnvironment that can be used to evaluate reasoning capabilities of artificial agents
Stars: ✭ 27 (-89.45%)
MICCAI21 MMQMultiple Meta-model Quantifying for Medical Visual Question Answering
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Medi-CoQAConversational Question Answering on Clinical Text
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head-qaHEAD-QA: A Healthcare Dataset for Complex Reasoning
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regnet.pytorchPyTorch-style and human-readable RegNet with a spectrum of pre-trained models
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KrantikariQAAn InformationGain based Question Answering over knowledge Graph system.
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qaTensorFlow Models for the Stanford Question Answering Dataset
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HugsVisionHugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
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CPPE-DatasetCode for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
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WikiQAVery Simple Question Answer System using Chinese Wikipedia Data
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gapbugQA site with Python/Django
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EntityEntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
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XORQAThis is the official repository for NAACL 2021, "XOR QA: Cross-lingual Open-Retrieval Question Answering".
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ObjectNetPyTorch implementation of "Pyramid Scene Parsing Network".
Stars: ✭ 15 (-94.14%)
pigalleryPiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging
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Giveme5WExtraction of the five journalistic W-questions (5W) from news articles
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QA4IEOriginal implementation of QA4IE
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squad-v1.1-ptPortuguese translation of the SQuAD dataset
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iPerceiveApplying 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 (-79.69%)
DocQNAuthor implementation of "Learning to Search in Long Documents Using Document Structure" (Mor Geva and Jonathan Berant, 2018)
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MLH-QuizzetThis 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 (-91.02%)
finetunerFinetuning any DNN for better embedding on neural search tasks
Stars: ✭ 442 (+72.66%)
cherche📑 Neural Search
Stars: ✭ 196 (-23.44%)
CogViewText-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
Stars: ✭ 708 (+176.56%)
AskNowNQSA question answering system for RDF knowledge graphs.
Stars: ✭ 32 (-87.5%)
icebreakerWeb app that allows students to ask real-time, anonymous questions during class
Stars: ✭ 16 (-93.75%)
mcQA🔮 Answering multiple choice questions with Language Models.
Stars: ✭ 23 (-91.02%)