نتایج جستجو برای: understanding check questions

تعداد نتایج: 725726  

Journal: :Revista Brasileira de Economia 2015

2015
Dominique Laurent Baptiste Chardon Sophie Nègre Camille Pradel Patrick Séguéla

This article presents the participation of Synapse Développement to the CLEF 2015 Entrance Exam campaign (QA track) for English and French languages. Since fifteen years, our company works on Question Answering domain. Recently our work concentrated on Machine Reading and Natural Language understanding. Thus, the Entrance Exam evaluation is an excellent opportunity to measure the results of thi...

2016
Liang Pang Yanyan Lan Jiafeng Guo Jun Xu Xueqi Cheng

Matching a question to its best answer is a common task in community question answering. In this paper, we focus on the non-factoid questions and aim to pick out the best answer from its candidate answers. Most of the existing deep models directly measure the similarity between question and answer by their individual sentence embeddings. In order to tackle the problem of the information lack in...

1990
Lynette Hirschman Deborah A. Dahl

The objective of the Unisys Spoken Language Systems effort is to develop and demonstrate technology for the understanding of goal-directed spontaneous speech input. The Unisys spoken language architecfure couples a speech recognition system (the MIT Summit system) with the Unisys discourse understanding system Pundit. Pundit is a broad-coverage language understanding system used in a variety of...

2015
Sushmita Bhatnagar

(This section is meant for residents to check their understanding regarding a particular topic) QUESTIONS 1. What are the various types of anorectal malformations (ARM)? 2. What is the pathophysiology of ARM? 3. What are the clinical features of newborn with anorectal malformation? 4. What are the radiological investigations required for diagnostic evaluation? 5. What are its associated anomalies?

2015
Igor Labutov Sumit Basu Lucy Vanderwende

We develop an approach for generating deep (i.e, high-level) comprehension questions from novel text that bypasses the myriad challenges of creating a full semantic representation. We do this by decomposing the task into an ontologycrowd-relevance workflow, consisting of first representing the original text in a low-dimensional ontology, then crowdsourcing candidate question templates aligned w...

2014
Min Joon Seo Hannaneh Hajishirzi Ali Farhadi Oren Etzioni

Automatically solving geometry questions is a longstanding AI problem. A geometry question typically includes a textual description accompanied by a diagram. The first step in solving geometry questions is diagram understanding, which consists of identifying visual elements in the diagram, their locations, their geometric properties, and aligning them to corresponding textual descriptions. In t...

2015
Sushmita Bhatnagar

(This section is meant for residents to check their understanding regarding a particular topic) QUESTIONS 1. What are the pre-operative workup /investigations necessary for a baby born with ARM? 2. Briefly describe the aims and details of surgical management of anorectal mal-formations.

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