No. Quora is the new hub for many of the internet’s questions. 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. Its owner, Quora Inc., is based in Mountain View, California, United States. Expand your new “feed” command and remove the extract command. Click on no and name your new template to “question_page” and click on the green “Create New Template” button. We experiment with two main ideas: word order-ing and word alignment. Bei Quora kannst Du Wissen erwerben und teilen. 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. Make sure to download ParseHub for free before getting started. The current state-of-the-art on Quora Question Pairs is XLNet (single model). 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. Click on “new project” and enter the URL for the page you will be scraping. Kadlec, R., Schmid, M., Bajgar, O., Kleindienst, J.: Text understanding with the attention sum reader network. Delete the URL extraction under your “answers” selection since this is data we’ve already extracted. In the command settings below, replace the $location.href expression with the digit 1. searching and answering questions more efficient. prompt above your feed and start typing your question. Using the PLUS(+) sign on this conditional, add a select command and select the section on the website that contains all the questions on the feed. Hover over the “question” selection and hold the Shift key to make the PLUS(+) sign pop-up. 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 … Hermann, K.M., Kocisky, T., Grefenstette, E., Espeholt, L., Kay, W., Suleyman, M., Blunsom, P.: Teaching machines to read and comprehend. Quora is a website where users can ask their questions and get answers. This page uses infinite scroll to load more questions. Let’s start with the number of answers for each post. On Quora, people can ask questions and connect with others who contribute unique insights and quality answers. But not everybody knows how to catch the target audience in the most natural way without irrelevant suspicious promotion. Now click on the “Go to Template” command and enter the number of times you’d like to repeat this process in the “Repeat This Template” field. 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. Currently, Quora uses a Random Forest model to identify duplicate questions. In: Proceedings of the 20th International Conference on Text, Speech and Dialogue (TSD) (2017), Aghaebrahimian, A., Jurčíček, F.: Open-domain factoid question answering via knowledge graph search. Not affiliated You might need to use Ctrl+2 while hovering over it to select it. And with over 300 Million users, it holds tons of information about what people want to know. In this case, we will run it right away. Quora dataset is composed of questions which are posed in Quora Question Answering site. How to avoid Question merges on Quora and how to deal with them. Also, Quora allows you to follow certain topics, questions, and people. It’s now time to run your scrape job and extract all the data you’ve selected. Use it to add a Scroll command. It's a platform to ask questions and connect with people who contribute unique insights and quality answers. The review data also includes product metadata (product titles etc. Now when I say take up space I mean two things. Quora Question Pairs dataset is part of GLUE benchmark tasks. Moreover, the questions in the dataset are authentic which is much more realistic for Question Answering systems. They will all now be highlighted in green. Quora dataset is composed of questions which are posed in Quora Question Answering site. Quora, in their eyes, has still only amassed a fraction of a fraction of every possible question that needs answering. This dataset contains Question and Answer data from Amazon, totaling around 1.4 million answered questions. © 2020 Springer Nature Switzerland AG. Download the pre-trained word vectors, namely glove.840B.300d, from https://nlp.stanford.edu/projects/glove/and put it into the project directory. What is the First Quora dataset? Their activities will be displayed on a user’s feed. In: Empirical Methods in Natural Language Processing (EMNLP) (2015), © Springer International Publishing AG 2017, International Conference on Text, Speech, and Dialogue, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics, https://doi.org/10.1007/978-3-319-64206-2_8. It is the only dataset which provides sentence-level and word-level answers at the same time. We report on a progressing work for compiling Quora Question Answer dataset. Expand your “answers” selection by clicking on the icon next to it. Some of these sites like Yahoo! Quora is the new hub for many of the internet’s questions. We can now extract more data from this page. Quora Question Answer Dataset | SpringerLink. This is a Kaggle compition from Quora to find the question pairs having the same intent using machine learning and Natural Language Processing. 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. Now click on the PLUS(+) sign next to the “page” selection and add a Conditional command. Our dataset consists of over 400,000 lines of potential question duplicate pairs. Scraping Javascript content can be quite a challenge.Mostly, because a lot of web scrapers struggle when scraping dynamic javascript content.A lot of web scrapers cannot effectively load, browse or scrape javascript, Web Scraping has tons of uses.And in the past, we’ve talked about how you can use web scraping to boost your marketing strategy.One way you can do this is by, How to Scrape Data from Quora: Questions, Authors, Answers and more, ParseHub, a free and powerful web scraper. Rename this selection to “feed”. What do I do if I don't agree with a merge on one of my questions? 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. We will now extract even more data from Quora. 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. It has to battle a perception that it's primarily a question-and-answer service focused on the Silicon Valley crowd. ParseHub will now go and scrape the data you’ve selected. In such event, your name is not displayed along with the content, and Quora does not associate such content with your user ID and other profile data. Voorhees, E.M., Tice, D.M. 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. From your Quora Home page, click on the "What is your question?" Each line contains IDs for each question in the pair, the full text for each question, and a binary value that … 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. Quora dataset is composed of questions which are posed in Quora Question Answering site. Start by clicking on the green “Get Data” button on the left sidebar. Drag the extract command you’ve just created to the top of the command list, above the “question” select command. In the left sidebar, rename your selection to “question”. This data set is large, real, and relevant — a rare combination. A pop up will appear, accept it with its default settings. First, use the tabs on the right side of the screen to return to your main template. It is the only dataset which provides sentence-level and word-level answers at the same time. By using feature engineering, feature importance tech-niques, and experimenting with seven selected machine learning classifiers, we demonstrated that our models outperformed previ-ous studies on this task. Furthermore, we will be scraping questions and data from Quora’s Smart Phone News community. In this Kaggle competition, Quora challenges data scientist to build models to identify and flag insincere questions. : Building a question answering test collection. In order to complete this project, we will use ParseHub, a free and powerful web scraper that can work with any website. The dataset that we are releasing today will give anyone the opportunity to train and test models of semantic equivalence, based on actual Quora data. If you run into any issues during your project, reach out to us via the live chat on our site and we will be happy to assist you. The competition's link is here. Using the instructions in step 5, add a new extract command and name it “listing_value”. Using the Relative Select command, click on the first question on the list and then on the number of answers under it. This service is more advanced with JavaScript available, TSD 2017: Text, Speech, and Dialogue We will do this by clicking on it. In this post, we will use the Universal Sentence Encoder to find duplicate questions in the First Quora dataset. 1. We know projects can get quite complex. It will be highlighted in green to indicate that it’s been selected. Quora dataset is composed of questions which are posed in Quora Question Answering site. Then use this command to click on more data to extract. You may post certain content anonymously, including questions and answers. 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