Category: Question Answering

Information Retrieval, Paper Reading, Quantity IR/IE, Question Answering

Paper Reading: Entities with Quantities: Extraction, Search, and Ranking

venue: WSDM 2020 (Demonstration) demo link: https://qsearch.mpi-inf.mpg.de/ Traditional search engines do no understand quantities and often fail to return results expected to satisfy certain quantity conditions in the query. This paper introduces Qsearch, which is originally proposed in “ Qsearch: Answeringquantity queries from text (ISWC 2019)” . The overview framework is shown in Figure 1 which consists of two phases: Extract and Answer. 1. Extract … Continue reading Paper Reading: Entities with Quantities: Extraction, Search, and Ranking

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Paper Reading, Question Answering

Paper Reading: Scaling Question Answering to the Web

slides: here Venue: WWW 2001 paper link: here Mulder is the 1st general-purpose, fully-automated question answering(QA) system. Instead of indexing any structured corpora, Mulder uses a commercial search engine as its knowledge base. The system has 6 components: Question Parser: it constructs a tree of the question’s phrasal structure and determines the question’s syntactic structure. The results from the question parser are also used in … Continue reading Paper Reading: Scaling Question Answering to the Web

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