作者 | 钟皓曦 编辑 | Camel 本文是对清华大学孙茂松、刘知远团队完成，被 AAAI2020 录用的论文《JEC-QA: A Legal-Domain Question Answering Dataset
GPT-2 and BERT Pretrained Weights (pytorch) You can find weights for BERT and GP...
导读 本次分享的论文提出了一个新的任务 Embodied Question Answering (EQA)。...在这个工作中，作者提出了一个崭新的问答任务Embodied Question Answering（下面称EQA），该任务是融合多模态信息，通过向agent提出文本问题，需要其在虚拟的空间环境中进行路径规划和探索...Reactive CNN+Question: 这个模型是将画面帧同问题的编码联合起来预测接下来的动作，其目标是一个问题的编码而不是一个目标的图像。...LSTM+Question: 上述的Reactive模型没有记忆信息，而这一个模型是利用问题的编码，当前帧，之前的动作共同来预测接下来的动作。...Embodied Question Answering.
参考资料 [1] 比赛链接: "https://www.kaggle.com/c/tensorflow2-question-answering/overview" [2] Natural Questions...NaturalQuestions/visualization [4] Baseline模型: https://github.com/google-research/language/tree/master/language/question_answering...[5] Baseline论文: https://arxiv.org/abs/1901.08634 [6] 已公开金牌方案: https://www.kaggle.com/c/tensorflow2-question-answering
本质上是解决问题理解 question answer 这个问题。...一般的问题理解解决过程有： 关键词提取, → 本文中是实体提取，这里主要是为了抽象成模板 conceptualization question keywords extraction (or question...labeling), identifying the focus of the question....of the question....问题扩展→ question extension, generating similar questions to extract all possible answers.
共计覆盖32万个模型 今天介绍NLP自然语言处理的第二篇：问答（question-answering），在huggingface库内有1.2万个问答（question-answering）模型，最典型的是在...二、问答（question-answering） 2.1 概述 问答模型可以从给定的文本中检索问题的答案，这对于在文档中搜索答案非常有用。一些问答模型可以在没有上下文的情况下生成答案！...更多关于RoBERTa的原理、预训练和微调方法可以参考【NLP】预训练语言模型——RoBERTa 2.3 应用场景 问题回答（Question Answering）：ROBERTA 可以用于问答系统中...开放域问答（Open-Domain Question Answering）：ROBERTA 还可以用于开放域问答任务中，这意味着系统需要从大量的文本数据中找到答案，而不是依赖于特定的问题库...pipeline使用文中的2行代码极简的使用NLP中的问答（question-answering）模型。
共计覆盖32万个模型 今天介绍NLP自然语言处理的第三篇：表格问答（table-question-answering），在huggingface库内有100个表格问答（table-question-answering...二、表格问答（table-question-answering） 2.1 概述 表格问答（Table QA）是回答有关给定表格上的信息的问题。..., table=table) print(output) 执行后，自动下载模型文件并进行识别： 2.6 模型排名 在huggingface上，我们将表格问答（table-question-answering...三、总结 本文对transformers之pipeline的表格问答（table-question-answering）从概述、技术原理、pipeline参数、pipeline实战、模型排名等方面进行介绍...，读者可以基于pipeline使用文中的2行代码极简的使用NLP中的表格问答（table-question-answering）模型。
一、前述 视觉问答（Visual Question Answering，VQA），是一种涉及计算机视觉和自然语言处理的学习任务。...这一任务的定义如下： A VQA system takes as input an image and a free-form, open-ended, natural-language question
4、TILE: XQA: A Cross-lingual Open-domain Question Answering Dataset Author: Jiahua Liu , Yankai Lin...5、TILE: Multi-Hop Paragraph Retrieval for Open-Domain Question Answering Author: Yair Feldman , Ran...6、TILE: Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index Author: Minjoon Seo，Jinhyuk...7、TILE:DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding Author: Yuyu Zhang...通过对具有挑战性的开放式问题回答(Open-domain Question answer, Open-QA)任务进行微调，我们证明了检索增强语言模型预训练(REALM)的有效性。 ? ? ?
（四篇含源码） 往期QA系列论文： (含源码)Question Answering(QA)论文整理(一) (含源码)Question Answering(QA)论文整理(二) (含源码)Question...Answering(QA)论文整理(三) (含源码)Question Answering(QA)论文整理(四) (含源码)Question Answering(QA)论文整理(五) (含源码...)Question Answering(QA)论文整理(六) 正文开始 1 First Blood 1、TILE: ERNIE-GEN: An Enhanced Multi-Flow Pre-training...4、TILE: Neural Generative Question Answering Author: Jun Yin • Xin Jiang • Zhengdong Lu Paper: https:...8、TILE: A Generative Approach to Question Answering Author: Rajarshee Mitra Paper: https://arxiv.org/
最后，资料整理不易，帮作者点个在看吧，谢谢~~ QA往期文章整理 (含源码)「自然语言处理(NLP)」Question Answering(QA)论文整理(一) (含源码)「自然语言处理(NLP...)」Question Answering(QA)论文整理(二) (含源码)「自然语言处理(NLP)」Question Answering(QA)论文整理(三) (含源码)「自然语言处理(NLP...)」Question Answering(QA)论文整理(四) 正文开始 1 First Blood 1、TILE: Evidence Aggregation for Answer Re-Ranking...in Open-Domain Question Answering Author: Shuohang Wang , Mo Yu , Jing Jiang , Wei Zhang Paper: https...2、TILE: $R^3$: Reinforced Reader-Ranker for Open-Domain Question Answering Author: Shuohang Wang , Mo
最后，帮作者点个在看吧，谢谢~~ 正文开始 1 First Blood 1、TILE: Neural Arabic Question Answering Author: Hussein Mozannar...2、TILE: Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering Author: Rajarshi...4、TILE: Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering Author: Jinhyuk...6、TILE: Open Domain Question Answering Using Web Tables Author: Kaushik Chakrabarti , Zhimin Chen , Siamak...Answering Author: Anonymous Paper: https://openreview.net/pdf?
最后，帮作者点个在看吧，谢谢~~ 正文开始 1 First Blood 1、TILE: Open Domain Question Answering Using Early Fusion of Knowledge...3、TILE: Denoising Distantly Supervised Open-Domain Question Answering Author: Yankai Lin , Haozhe Ji...4、TILE: A Question-Focused Multi-Factor Attention Network for Question Answering Author: Souvik Kundu...5、TILE: EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping Author:...6、TILE: Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering Author: Sewon
Blunsom • Stephen Pulman Paper: https://arxiv.org/pdf/1412.1632v1.pdf Code: https://github.com/brmson/dataset-sts...5、TILE: Relational Graph Representation Learning for Open-Domain Question Answering Author: Salvatore...6、TILE: Natural Language Generation at Scale: A Case Study for Open Domain Question Answering Author:...7、TILE: Conversational AI : Open Domain Question Answering and Commonsense Reasoning Author: Kinjal Basu...8、TILE: FriendsQA: Open-Domain Question Answering on TV Show Transcripts Author: Zhengzhe Yang • Jinho
【导读】既昨天推出七篇视觉问答（Visual Question Answering）文章，专知内容组今天又推出最近七篇视觉问答相关文章，为大家进行介绍，欢迎查看! 1....Generalized Hadamard-Product Fusion Operators for Visual Question Answering（基于广义Hadamard-Product融合算子的视觉问答...In particular, we investigate attacks on a dense captioning model and on two visual question answering...Question Type Guided Attention in Visual Question Answering（基于问题类型引导注意力的视觉问答） ---- ---- 作者：Yang Shi,Tommaso...IQA: Visual Question Answering in Interactive Environments（IQA:交互环境的视觉问答） ---- ---- 作者：Daniel Gordon,
【导读】专知内容组整理了最近七篇视觉问答（Visual Question Answering）相关文章，为大家进行介绍，欢迎查看! 1....This is done by focusing on a specific part of the image while answering the question....for question answering....and question answering. ?...Here, we present DVQA, a dataset that tests many aspects of bar chart understanding in a question answering
【导读】专知内容组整理了最近七篇视觉问答（Visual Question Answering）相关文章，为大家进行介绍，欢迎查看!...Our VQA-E dataset is automatically derived from the VQA v2 dataset by intelligently exploiting the available...and answer dataset (COG) to parallel experiments in humans and animals....CLEVR) as well as easy settings of the COG dataset....that require counting a variety of objects in images remain a major challenge in visual question answering
QA 综述 Tutorial Dataset Code 领域专家 入门学习 基于深度学习的VQA（视觉问答）技术 [https://zhuanlan.zhihu.com/p/22530291] 视觉问答全景概述...Lawrence Zitnick, Ross Girshick, CLEVR: A Diagnostic Dataset for Compositional Language and Elementary...Dataset and Methods for Multilingual Image Question Answering, NIPS 2015..../] Dataset Visual7W: Grounded Question Answering in Images homepage: http://web.stanford.edu/~yukez/visual7w...://anantzoid.github.io/VQA-Keras-Visual-Question-Answering/] Deep Learning Models for Question Answering
【导读】专知内容组整理了最近六篇视觉问答（Visual Question Answering）相关文章，为大家进行介绍，欢迎查看! 1....Desta,Larry Chen,Tomasz Kornuta 摘要：Visual Question Answering (VQA) is a novel problem domain where multi-modal...Similarly, performance on multi-disciplinary tasks such as Visual Question Answering (VQA) is considered...We first introduce Sketch-QA, an elementary version of Visual Question Answering task....Here, we present DVQA, a dataset that tests many aspects of bar chart understanding in a question answering
【导读】专知内容组整理了最近六篇视觉问答（Visual Question Answering）相关文章，为大家进行介绍，欢迎查看! 1....Evaluation of modern algorithms for answering visual questions and deciding if a visual question is answerable...Learning to Count Objects in Natural Images for Visual Question Answering（学习自然图像中物体计数的视觉问答） ---- ----...作者：Yan Zhang,Jonathon Hare,Adam Prügel-Bennettv 摘要：Visual Question Answering (VQA) models have struggled...Dual Recurrent Attention Units for Visual Question Answering（基于对偶循环注意力单元的视觉问答） ---- ---- 作者：Ahmed Osman
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