{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"nlpdata.github.io","owner":"nlpdata","isFork":false,"description":"","topicNames":[],"topicsNotShown":0,"allTopics":[],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-10-07T00:05:03.358Z"}},{"type":"Public","name":"script","owner":"nlpdata","isFork":false,"description":"Contextualized commonsense knowledge","topicNames":["relation-extraction","machine-reading-comprehension"],"topicsNotShown":0,"allTopics":["relation-extraction","machine-reading-comprehension"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-09-03T05:27:16.391Z"}},{"type":"Public","name":"examqa","owner":"nlpdata","isFork":false,"description":"ExamQA","topicNames":["question-answering","machine-reading-comprehension"],"topicsNotShown":0,"allTopics":["question-answering","machine-reading-comprehension"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-16T18:27:29.884Z"}},{"type":"Public","name":"c3","owner":"nlpdata","isFork":false,"description":"Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension","topicNames":["dialogue","dataset","machine-reading-comprehension"],"topicsNotShown":0,"allTopics":["dialogue","dataset","machine-reading-comprehension"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":163,"forksCount":23,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-04-20T21:58:39.078Z"}},{"type":"Public","name":"dialogre","owner":"nlpdata","isFork":false,"description":"Dialogue-Based Relation Extraction","topicNames":["dialogue","dataset","relation-extraction"],"topicsNotShown":0,"allTopics":["dialogue","dataset","relation-extraction"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":134,"forksCount":31,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-09-18T06:31:53.289Z"}},{"type":"Public","name":"evidence","owner":"nlpdata","isFork":false,"description":"Evidence Sentence Extraction for Machine Reading Comprehension","topicNames":["machine-reading-comprehension"],"topicsNotShown":0,"allTopics":["machine-reading-comprehension"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":5,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-10-01T23:30:20.995Z"}},{"type":"Public","name":"external","owner":"nlpdata","isFork":false,"description":"Improving Question Answering with External Knowledge","topicNames":["question-answering","machine-reading-comprehension"],"topicsNotShown":0,"allTopics":["question-answering","machine-reading-comprehension"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":6,"forksCount":2,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-09-27T16:05:36.159Z"}},{"type":"Public","name":"mrc_bert_baseline","owner":"nlpdata","isFork":false,"description":"A BERT-Based Machine Reading Comprehension Baseline","topicNames":["machine-reading-comprehension"],"topicsNotShown":0,"allTopics":["machine-reading-comprehension"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":63,"forksCount":9,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-05-02T00:45:08.199Z"}},{"type":"Public","name":"strategy","owner":"nlpdata","isFork":false,"description":"Improving Machine Reading Comprehension with General Reading Strategies","topicNames":["question-answering","machine-reading-comprehension"],"topicsNotShown":0,"allTopics":["question-answering","machine-reading-comprehension"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":36,"forksCount":6,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-04-23T18:37:55.503Z"}},{"type":"Public","name":"dream","owner":"nlpdata","isFork":false,"description":"DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension","topicNames":["dialogue","machine-reading-comprehension","dataset"],"topicsNotShown":0,"allTopics":["dialogue","machine-reading-comprehension","dataset"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":75,"forksCount":13,"license":"Other","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2019-04-23T03:56:31.294Z"}}],"repositoryCount":10,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}