scholarly journals Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

2021 ◽  
Vol 9 ◽  
pp. 346-361
Author(s):  
Mor Geva ◽  
Daniel Khashabi ◽  
Elad Segal ◽  
Tushar Khot ◽  
Dan Roth ◽  
...  
Keyword(s):  
Data Collection ◽  
Question Answering ◽  
Reasoning Strategies ◽  
Careful Control ◽  
Wide Range ◽  
Fundamental Challenge ◽  
Data Collection Procedure

Abstract A key limitation in current datasets for multi-hop reasoning is that the required steps for answering the question are mentioned in it explicitly. In this work, we introduce StrategyQA, a question answering (QA) benchmark where the required reasoning steps are implicit in the question, and should be inferred using a strategy. A fundamental challenge in this setup is how to elicit such creative questions from crowdsourcing workers, while covering a broad range of potential strategies. We propose a data collection procedure that combines term-based priming to inspire annotators, careful control over the annotator population, and adversarial filtering for eliminating reasoning shortcuts. Moreover, we annotate each question with (1) a decomposition into reasoning steps for answering it, and (2) Wikipedia paragraphs that contain the answers to each step. Overall, StrategyQA includes 2,780 examples, each consisting of a strategy question, its decomposition, and evidence paragraphs. Analysis shows that questions in StrategyQA are short, topic-diverse, and cover a wide range of strategies. Empirically, we show that humans perform well (87%) on this task, while our best baseline reaches an accuracy of ∼ 66%.

scholarly journals Brain stimulation used as biofeedback in neuronal activation of the temporal lobe area in autistic children

2016 ◽  
Vol 74 (8) ◽  
pp. 632-637 ◽  
Author(s):  
Vernon Furtado da Silva ◽  
Mauricio Rocha Calomeni ◽  
Rodolfo Alkmim Moreira Nunes ◽  
Carlos Elias Pimentel ◽  
Gabriela Paes Martins ◽  
...  
Keyword(s):  
Data Collection ◽  
Brain Stimulation ◽  
Mirror Neurons ◽  
Brain Area ◽  
Control Group ◽  
Autistic Children ◽  
Emotional Stimuli ◽  
The One ◽  
The Brain ◽  
Data Collection Procedure

ABSTRACT This study focused upon the functional capacity of mirror neurons in autistic children. 30 individuals, 10 carriers of the autistic syndrome (GCA), 10 with intellectual impairments (GDI), and 10 non-autistics (GCN) had registered eletroencephalogram from the brain area theoretically related to mirror neurons. Data collection procedure occurred prior to brain stimulation and after the stimulation session. During the second session, participants had to alternately process figures evoking neutral, happy, and/or sorrowful feelings. Results proved that, for all groups, the stimulation process in fact produced additional activation in the neural area under study. The level of activation was related to the format of emotional stimuli and the likelihood of boosting such stimuli. Since the increase of activation occurred in a model similar to the one observed for the control group, we may suggest that the difficulty people with autism have at expressing emotions is not due to nonexistence of mirror neurons.

Evaluation of CORSIM Car-Following Model by Using Global Positioning System Field Data

2000 ◽  
Vol 1710 (1) ◽  
pp. 114-121 ◽  
Author(s):  
Sastry Chundury ◽  
Brian Wolshon
Keyword(s):  
Data Collection ◽  
Global Positioning System ◽  
Field Data ◽  
Goodness Of Fit ◽  
Positioning System ◽  
Goodness Of Fit Test ◽  
Distance Information ◽  
Car Following ◽  
Wide Range ◽  
Global Positioning

It has been recognized that CORSIM (and its constituent program, NETSIM) is one of the most widely used and effective computer programs for the simulation of traffic behavior on urban transportation networks. Its popularity is due in large part to the high level of detail incorporated into its modeling routines. However, the car-following models, used for the simulation of driver behavior in the program, have not been formally calibrated or validated. Since the model has performed well in a wide range of applications for so many years, it has always been assumed to have an implied validity. This study evaluated the NETSIM car-following models by comparing their results with field data. Car-following field data were collected using a new data collection system that incorporates new Global Positioning System and geographic information system technologies to improve the accuracy, ease, speed, and cost-effectiveness of car-following data collection activities. First, vehicle position and speed characteristics were collected under field conditions. Then simulated speeds and distances were based on identical lead vehicle actions using NETSIM car-following equations. Comparisons of simulated and field data were completed using both graphical and statistical methods. Although some differences were evident in the graphical comparisons, the graphs overall indicated a reasonable match between the field and simulated vehicle movements. Three statistical tests, including a goodness-of-fit test, appear to support these subjective conclusions. However, it was also found that definitive statistical conclusions were difficult to draw since no single test was able to compare the sets of speed and distance information on a truly impartial basis.

scholarly journals Masking Orchestration: Multi-Task Pretraining for Multi-Role Dialogue Representation Learning

2020 ◽  
Vol 34 (05) ◽  
pp. 9217-9224
Author(s):  
Tianyi Wang ◽  
Yating Zhang ◽  
Xiaozhong Liu ◽  
Changlong Sun ◽  
Qiong Zhang
Keyword(s):  
Knowledge Integration ◽  
Question Answering ◽  
Representation Learning ◽  
Essential Information ◽  
External Knowledge ◽  
Learning Tasks ◽  
Wide Range ◽  
Specific Learning

Multi-role dialogue understanding comprises a wide range of diverse tasks such as question answering, act classification, dialogue summarization etc. While dialogue corpora are abundantly available, labeled data, for specific learning tasks, can be highly scarce and expensive. In this work, we investigate dialogue context representation learning with various types unsupervised pretraining tasks where the training objectives are given naturally according to the nature of the utterance and the structure of the multi-role conversation. Meanwhile, in order to locate essential information for dialogue summarization/extraction, the pretraining process enables external knowledge integration. The proposed fine-tuned pretraining mechanism is comprehensively evaluated via three different dialogue datasets along with a number of downstream dialogue-mining tasks. Result shows that the proposed pretraining mechanism significantly contributes to all the downstream tasks without discrimination to different encoders.

scholarly journals ARKEOFAUNA KAWASAN KARST BONTOCANI KABUPATEN BONE SULAWESI SELATAN

2018 ◽  
Vol 16 (1) ◽  
pp. 21
Author(s):  
Nfn Fakhri
Keyword(s):  
Data Collection ◽  
Environmental Change ◽  
Comparative Studies ◽  
Rain Forest ◽  
Data Availability ◽  
Karst Area ◽  
Forest Environment ◽  
Faunal Composition ◽  
Wide Range ◽  
Bone Fragments

This study aims to provide a description of the fauna that once interacted with a human in the Bontocani karst Area in Bone District. Of the few excavated sites providing data availability of bone fragments that can be analyzed by conducting comparative studies with existing faunal composition of the fauna. The method of data collection is by excavation at some sites in this Karst Area. The results of this study document a wide range of vertebrates in the Balang Metti fauna including fish, frogs/toads, lizards, snakes, birds, Strigocuscus, Ailurops ursinus, insectivorous bats, Sulawesi monkeys, rats, Sulawesi pigs, babirusa and Anoa. In some layers of culture, the absence of anoa, indicates the environmental change from the environment of the fields and the weeds to the wet rain forest environment around the site, along with the extinction of this fauna. Based on the identified fauna bone analysis, it is illustrated that past habitats and environments in Bontocani Karst area have not changed much. Penelitian ini bertujuan memberikan gambaran secara lebih jelas tentang fauna-fauna yang pernah berinteraksi dengan manusia pendukung kebudayaan yang ada di Kawasan Karst Bontocani di Kabupaten Bone. Beberapa situs yang telah diekskavasi memberikan ketersediaan data berupa fragmen tulang yang dapat dianalisis dengan melakukan studi komparasi dengan komposisi tulang fauna yang ada saat ini. Metode pengumpulan data yang dilakukan adalah dengan ekskavasi di beberapa situs yang ada di Kawasan Karst ini. Hasil penelitian menunjukkan bahwa sebagian besar jenis fauna yang ditemukan di situs ini adalah fauna bertulang belakang antara lain: ikan, kodok/katak, kadal, ular, burung, strigocuscus, Ailurops ursinus, kelelawar pemakan serangga, monyet sulawesi, tikus, babi sulawesi, babi russa dan anoa. Pada beberapa lapisan budaya, tidak adanya temuan fauna anoa, menunjukkan perubahan lingkungan dari lingkungan padang dan ilalang menjadi lingkungan hutan hujan basah di sekitar situs, seiring dengan punahnya fauna ini. Berdasarkan analisis tulang fauna yang berhasil diidentifikasi digambarkan bahwa habitat dan lingkungan masa lampau di Kawasan Karst Bontocani tidak banyak mengalami perubahan.

Investigating Children’s Perception of Nurses Through Their Drawings

2017 ◽  
Vol 27 (8) ◽  
pp. 984-1001 ◽  
Author(s):  
Nazan Çakirer Çalbayram ◽  
Sebahat Altundağ ◽  
Bahise Aydin
Keyword(s):  
Data Collection ◽  
Health Staff ◽  
Hospitalized Children ◽  
Data Collection Form ◽  
Research Model ◽  
Descriptive Research ◽  
Important Sign ◽  
Sick Children ◽  
Collection Form ◽  
Data Collection Procedure

Hospitalized children can have various fantasies about hospital, health staff, and related tools and equipment. They need to develop new coping strategies for compliance with hospitalization.This study aimed to investigate the perception of nurses by children with acute and chronic illness through their drawings. The study was carried out using a descriptive research model. “Nurses through the eyes of sick children data collection form” was used in data collection procedure. The instruction “draw a picture of a nurse, please” was used to get the children to draw a picture. The majority of the children portrayed nurses as a smiling face. The children with chronic diseases featured nurses more in their drawings and they mentioned more nurse duties. The most important sign of the progression of nursing is that the mentioning of the modern roles of nursing by the children in their drawings and expressions. As children are influenced by their emotions, thoughts, observations, and experiences while drawing pictures, nurses can determine their thoughts about the disease, hospitals, physicians, and nurses by having sick children draw pictures.

Mentoring University Preparatory Students Through World Englishes (WEs)-Integrated Courses

2018 ◽  
pp. 77-96
Author(s):  
Ahmet Cihat Kapçık ◽  
Ali Öztüfekçi ◽  
Aybüke Demet Ören ◽  
Ayten Kaplan ◽  
Çiğdem Yılmaz Uzunkaya ◽  
...  
Keyword(s):  
Data Collection ◽  
English Proficiency ◽  
Language Skills ◽  
Native English Speakers ◽  
World Englishes ◽  
English Speakers ◽  
The World ◽  
Expanding Circle ◽  
The Status ◽  
Data Collection Procedure

The increasing number of non-native English speakers in the world has led to the use of varieties of English. Nowadays, the number of speakers of English in the expanding circle has exceeded the number of speakers in the outer and inner circles. This has given rise to the scrutiny of English as a Lingua Franca (ELF). With this regard, the research on World Englishes (WEs) has increased over the last few decades. In light of these observations, the purpose of this chapter is to raise awareness of World Englishes (WEs) among preparatory students at private universities in Turkey. Specifically, the study is concerned with mentoring preparatory students through Wes-integrated courses. The participants of this study were 20 preparatory students at A2-level English proficiency. As data collection procedure, the mentor teacher of the existing program adapted EFL materials including videos, dialogues, and integrated four language skills. The data were collected through questionnaires and reflective essays. With regard to the results, the students had an idea about the concept of Wes, and they became aware of the varieties of English to some extent; specifically, they displayed consciousness about the status of English across the world and sympathy toward WEs.

Addressing Data Collection Challenges in ICT for Development Projects

2015 ◽  
Vol 7 (3) ◽  
pp. 36-55 ◽  
Author(s):  
Devendra Dilip Potnis
Keyword(s):  
Developing Countries ◽  
Data Collection ◽  
Lessons Learned ◽  
Time Cost ◽  
Marginalized Communities ◽  
The Past ◽  
Success Stories ◽  
Wide Range ◽  
Collection Data ◽  
Ict For Development

This paper equips researchers for addressing a wide range of data collection challenges experienced when interacting with marginalized communities as part of ICT4D projects in developing countries. This secondary research categorizes data collection challenges reported in multiple disciplines, and summarizes the guidance from the past literature to deal with the challenges. The open, axial, and selective coding of data collection challenges reported by the past literature suggests that it is necessary to manage scope, time, cost, quality, human resources, communication, and risks for addressing the data collection challenges. This paper illustrates the ways to manage these seven dimensions using (a) the success stories of data collection in the past, (b) the lessons learned by researchers during data collection as documented by the past literature, and (c) the advice they offer for collection data from marginalized communities in developing countries.

scholarly journals Wireless Middleware Solutions for Smart Water Metering

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1853 ◽  
Author(s):  
Stefano Alvisi ◽  
Francesco Casellato ◽  
Marco Franchini ◽  
Marco Govoni ◽  
Chiara Luciani ◽  
...  
Keyword(s):  
Data Collection ◽  
Field Testing ◽  
Water Utility ◽  
Smart Water ◽  
Computing Paradigm ◽  
Wide Range ◽  
Utility Companies ◽  
Lock In ◽  
Water Meters ◽  
Water Metering

While smart metering applications have initially focused on energy and gas utility markets, water consumption has recently become the subject of increasing attention. Unfortunately, despite the large number of solutions available on the market, the lack of an open and widely accepted communication standard means that vendors typically propose proprietary data collection solutions whose adoption causes non-trivial problems to water utility companies in term of costs, vendor lock-in, and lack of control on the data collection infrastructure. There is the need for open and interoperable smart water metering solutions, capable of collecting data from the wide range of water meters on the market. This paper reports our experience in the development and field testing of a highly interoperable smart water metering solution, which we designed in collaboration with several water utility companies and which we deployed in Gorino Ferrarese, Italy, in collaboration with CADF (Consorzio Acque Delta Ferrarese), the water utility serving the city. At the core of our solution is SWaMM (Smart Water Metering Middleware), an interoperable wireless IoT middleware based on the Edge computing paradigm, which proved extremely effective in interfacing with several types of smart water meters operating with different protocols.

scholarly journals Flow and Engagement at Work: A Literature Review

Psico-USF ◽  
2018 ◽  
Vol 23 (4) ◽  
pp. 633-642 ◽  
Author(s):  
Larissa Sanford Ayres Farina ◽  
Gabriel dos Reis Rodrigues ◽  
Claudio S. Hutz
Keyword(s):  
Life Satisfaction ◽  
Data Collection ◽  
Literature Review ◽  
Work Engagement ◽  
Well Being ◽  
Business Success ◽  
Wide Range ◽  
Worker Performance ◽  
Work Psychology ◽  
Labor Resources

Abstract In the light of Positive Organizational and Work Psychology, flow and engagement are related with well-being and business success. This study examines the relationships between flow and work engagement,while presenting the main concepts about them. A literature review was carried out. Data collection were based on the research for studies with the descriptors “flow” and “engagement”, “personal resources”, “labor resources” and related terms. This search resulted in 49 studies, which were read and classified according to information about content, year of publication, definitions, types and associated concepts. Among the findings, flow and engagement are linked to superior results in business, worker performance and life satisfaction. Studies point to a wide range of applications, but there is still a need for further research.

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