In this case, we will be scraping Quora’s Smart Phone News community. Kadlec, R., Schmid, M., Bajgar, O., Kleindienst, J.: Text understanding with the attention sum reader network. In this case, we will run it right away. A key challenge is to weed out insincere questions — those founded upon false premises, or that intend to make a statement rather than looking for helpful answers. Your Content. Expand your “answers” selection by clicking on the icon next to it. Bordes, A., Usunier, N., Chopra, S., Weston, J.: Large-scale simple question answering with memory networks. Data At Quora: First Quora Dataset Release - Question Pairs was originally written on Quora by Shankar Iyer, Nikhil Dandekar, and Kornél Csernai. Not logged in This was the subject of a popular discussion recently posted on Quora: 20 questions to detect a fake data scientist.We asked our own data scientist, and he came up with a very different set of questions: compare his answer (#1 below - 20 questions) with Quora replies (#2 and #3 below - 30 questions).Note that #2 focuses on statistics, and #3 on architecture. Let’s now tell ParseHub to click on each question on the page and extract more data. This service is more advanced with JavaScript available, TSD 2017: Text, Speech, and Dialogue Logo ()Quora is a platform that empowers people to learn from each other. So we will setup ParseHub to load and scrape more questions. Delete the URL extraction under your “answers” selection since this is data we’ve already extracted. : Building a question answering test collection. Let’s start with the number of answers for each post. Question answering sites are one of the primary sources on the Internet that attempt to meet this huge information need of the users. We experiment with two main ideas: word order-ing and word alignment. Moreover, the questions in the dataset are authentic which is much more realistic for Question Answering systems. Click on no and name your new template to “question_page” and click on the green “Create New Template” button. Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question … On Quora, people can ask questions and connect with others who contribute unique insights and quality answers. Answer: There’s no limit. Quora is a place to gain and share knowledge. We report on a progressing work for compiling Quora Question Answer dataset. The page for the first question on the page will now render inside the app and a select command will be created by default. As mentioned in its post: Today, we are excited to announce the first in what we plan to be a series of public dataset releases. Tips for Answering Quora Questions: When I market on Quora my strategy is always to comment early and take up as much space answering the question. Rao, J., He, H., Lin, J.: Noise-contrastive estimation for answer selection with deep neural networks. In order to complete this project, we will use ParseHub, a free and powerful web scraper that can work with any website. They will all now be highlighted in green. You may post certain content anonymously, including questions and answers. Quora Question Answer Dataset | SpringerLink. Q&A sites like Yahoo! Question: Is there a limit to answering questions in a day? This is a Kaggle compition from Quora to find the question pairs having the same intent using machine learning and Natural Language Processing. prompt above your feed and start typing your question. Lastly, click on the three dots on your left sidebar next to the main_template text and untick “No Duplicates”. It has to battle a perception that it's primarily a question-and-answer service focused on the Silicon Valley crowd. Quora dataset is composed of questions which are posed in Quora Question Answering site. Here you can Test, Schedule or Run your web scraping project. In the description of this compitition, quora has mentioned that they have been using Random Forest model to identify duplicate questions and they are asking the kagglers to apply advanced deep learning techniques. A key challenge is to weed out insincere questions – those founded upon false premises, or that intend to make a statement rather than look for helpful answers. There is no doubt that Quora is a great question and answer site and a site that when used well has the ability to drive a lot of traffic to your site. Quora recently released the first dataset from their platform: a set of 400,000 question pairs, with annotations indicating whether the questions request the same information. Rename this selection to “feed”. This dataset can be combined with Amazon product review data, available here, by matching ASINs in the Q/A dataset with ASINs in the review data. QuestionsPro gives the necessary tools to get questions relevant to a specific field, track new topics, answers and attract a new flow of people to your aim. Today, we will go over how to scrape data from Quora using a free web scraper. A lover of all things related to tech, culture, and the internet. In this Kaggle competition, Quora challenges data scientist to build models to identify and flag insincere questions. Now when I say take up space I mean two things. © 2020 Springer Nature Switzerland AG. It will be highlighted in green to indicate that it’s been selected. You know now how to scrape data from Quora with a free web scraper. We know projects can get quite complex. Furthermore, we will be scraping questions and data from Quora’s Smart Phone News community. The competition's link is here. Quora is a question and answer website that requires users to use their real names, rather than concealing internet pseudonyms, as a means of increasing the site’s credibility. The rest of the questions on the page will be highlighted in yellow. Our dataset consists of over 400,000 lines of potential question duplicate pairs. 1. Rename this new extract command to remove and under the extract dropdown choose “Delete element from page”. ParseHub is now extracting the data we’ve selected from the first few questions on the questions page. And with over 300 Million users, it holds tons of information about what people want to know. Quora Question Pairs dataset is part of GLUE benchmark tasks. Now it’s time to start setting up our web scraping project. Rename your selection to “author”. Quora ist eine Plattform, auf der man Fragen stellen und sich mit anderen Menschen verbinden kann, die ihre ganz eigenen Erfahrungen und Einblicke in Form von hochqualitativen Antworten beisteuern. No. Quora (/ ˈ k w ɔːr ə /) is an American question-and-answer website where questions are asked, answered, followed, and edited by Internet users, either factually or in the form of opinions. Quora dataset is composed of questions which are posed in Quora Question Answering site. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (2016), Richardson, M., Burges, J.C., C., Erin, R.: MCTest: a challenge dataset for the open-domain machine comprehension of text. In this competition, Kagglers are challenged to tackle this natural language processing problem by applying advanced techniques to classify whether question pairs are duplicates or not. On Quora, people can ask questions and connect with others who contribute unique insights and quality answers. Therefore, you might be interested to scrape data from Quora to uncover insights about the market, your industry, your target audience and more. In: Proceedings of the Association for Computational Linguistics (2016). on the task of identifying duplicate questions on Quora’s question pair dataset. In: Advances in Neural Information Processing Systems (2015). For more information about anonymity on Quora, visit Quora's answer to How does anonymity on Quora work? What do I do if I don't agree with a merge on one of my questions? In Jan 2017, Quora announced that it was planning to release a series of public NLP datasets. 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