Question answering machine

• [PDF File]Question Answering - Stanford University

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  Dan%Jurafsky% 2 Ques%on(Answering(What do worms eat? worms eat what worms eat grass Worms eat grass worms eat grass Grass is eaten by worms birds eat worms Birds eat worms

  question answering system

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• [PDF File]An Empirical Study of Content Understanding in ...

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  Answering questions in the conversational manner has be-come an important task for machine reading comprehension. There are two benchmark conversational question answering datasets, QuAC (Choi et al. 2018) and CoQA (Reddy, Chen, and Manning 2019). Different from traditional machine reading comprehension (Rajpurkar et al. 2016; Nguyen et al.

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• [PDF File]QuAC : Question Answering in Context

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  Question Answering in Context that contains 14K crowdsourced QA dialogs (100K total QA pairs).1 Figure1shows an example dialog. The in-teraction is student driven and centered around a short evidence text (a section from Daffy Duck’s 1We use “dialog” to refer to a sequence of QA pairs. F Authors contributed equally.

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• [PDF File]Addressing Semantic Drift in Question Generation for Semi ...

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  QAP refers to Question Answering Probability, which is the probability that the generated ques-tion can be correctly answered by the given an-swer. We regularize the generation with these two rewards via reinforcement learning. Experiments show that these two rewards can significantly im-prove the question generation quality separately or

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• [PDF File]Knowledge-Based Question Answering as Machine Translation

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  Knowledge-Based Question Answering as Machine Translation Junwei Bao y , Nan Duan z, Ming Zhou z, Tiejun Zhao y yHarbin Institute of Technology zMicrosoft Research baojunwei001@gmail.com fnanduan, mingzhou g@microsoft.com tjzhao@hit.edu.cn Abstract A typical knowledge-based question an-swering (KB-QA) system faces two chal-

  reading and answering questions

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• [PDF File]Human Attention in Visual Question Answering: Do Humans ...

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  Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? Abhishek Das1y ABHSHKDZ@VT.EDU Harsh Agrawal1y HARSH92@VT.EDU C. Lawrence Zitnickz ZITNICK@FB.COM Devi Parikhy PARIKH@VT.EDU Dhruv Batray DBATRA@VT.EDU yVirginia Tech, Blacksburg zFacebook AI Research, Menlo Park Abstract

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• [PDF File]Question answering and machine comprehension with neural ...

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  Question answering and machine comprehension with neural attention Minjoon Seo PhD Student Computer Science & Engineering University of Washington

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• [PDF File]Incorporating External Knowledge into Machine Reading for ...

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  Question Answering (QA) has come a long way from answer sentence selection, relational QA to machine reading comprehension. The next-generation QA systems can be envisioned as the ones which can read passages and write long and abstractive answers to questions. Different from extractive question answering, generative

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• [PDF File]Cycle-Consistency for Robust Visual Question Answering

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  Visual Question Answering (VQA) applications allow a human user to ask a machine questions about images – be it a user interacting with a visual chat-bot or a visually im-paired user relying on an assistive device. As this tech-nology steps out of the realm of curated datasets towards

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• [PDF File]Question Answering Systems: A Review on Present ...

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  (―Question answering‖ OR ―question answer‖ OR ―question answering system‖ OR ―question answering systems‖). The search for these keywords was done on the title of the publication, as well as the abstract. We selected three of the top scientific digital libraries that represent primary sources for computer science research

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