Few-shot classification in Named Entity Recognition Task

For many natural language processing (NLP) tasks the amount of annotated data is limited. This urges a need to apply semi-supervised learning techniques, such as transfer learning or meta-learning. In this work we tackle Named Entity Recognition (NER) task using Prototypical Network - a metric learning technique. It learns intermediate representations of words which cluster well into named entity classes. This property of the model allows classifying words with extremely limited number of training examples, and can potentially be used as a zero-shot learning method. By coupling this technique with transfer learning we achieve well-performing classifiers trained on only 20 instances of a target class.Comment: In proceedings of the 34th ACM/SIGAPP Symposium on Applied Computin

My Science Tutor (MyST) -- A Large Corpus of Children's Conversational Speech

This article describes the MyST corpus developed as part of the My Science Tutor project -- one of the largest collections of children's conversational speech comprising approximately 400 hours, spanning some 230K utterances across about 10.5K virtual tutor sessions by around 1.3K third, fourth and fifth grade students. 100K of all utterances have been transcribed thus far. The corpus is freely available (https://myst.cemantix.org) for non-commercial use using a creative commons license. It is also available for commercial use (https://boulderlearning.com/resources/myst-corpus/). To date, ten organizations have licensed the corpus for commercial use, and approximately 40 university and other not-for-profit research groups have downloaded the corpus. It is our hope that the corpus can be used to improve automatic speech recognition algorithms, build and evaluate conversational AI agents for education, and together help accelerate development of multimodal applications to improve children's excitement and learning about science, and help them learn remotely

Analysis of cesarean section using Robson’s criteria in tertiary care center

Introduction: This study aims to analyze all the women delivering in our institute according to the Robson’s classification. Robson’s ten group classification system (TGCS) endorsed by WHO, is a global standard tool for assessing, monitoring and comparing cesarean section rates at all levels. Method: This cross sectional study was conducted in the department of obstetrics and gynecology, Patan hospital, Patan academy of health sciences (PAHS), Lalitpur, Nepal over 12 months’ period. All women who delivered during this period were classified according to the Robson’s classification (TGCS) into a specific group. Relative size and overall cesarean section rate of each group were calculated. Result: A total of 4,985 cases were analyzed. The cesarean section rate was 57.7%. Group 1+2 represented nearly half (49%) of the obstetric population served during the study period. Group 2A was found to be the highest contributor (27.4%) followed by Group 5 (22.8%) and Group 1 (13.0%). In terms of indication for cesarean section -Fetal distress and previous cesarean section were found to be the most common indications. Similarly, nulliparous women were three to four times more likely to be delivered by cesarean section when labor was induced. Conclusion:  From this study, we can conclude that for an effective reduction in the overall high cesarean section rate in our Institution, we need to focus on a more stringent protocol for inducing labor especially among nulliparous women and to practice evidence based guidelines. Redefining failed induction needs to be considered critically as well

Effect of Ferroelectric Nanopowder on Electrical and Acoustical Properties of Cholesteric Liquid Crystal

Ferroelectric nano-materials are very sensitive to several external stimuli and have attracted great deal of attention due to their property of improving various properties such as photoluminescence, higher polarization, fast response time, low operating voltage and improved conductivity. For enhancing the physical properties, a proper selection of nano-materials for liquid crystals depends upon various factors such as size, shape, preparation methods, surfactant concentration and amount of doping materials. In the present study an attempt is made to study  electrical and acoustical properties of cholesteric liquid crystal after dispersing ferroelectric nano-powder of Barium Titanate (BaTiO3). In addition with this particle size and surface area of pure and nono-particle dispersed liquid crystal were also measured. Our investigation shows increase in Rao’s constant or molar sound velocity, which indicates increase in molecular density indicating a close packing of the material. The measurement of dielectric relaxation at different frequencies gives information about the dynamics of polar groups and molecular motion

Prevalence of suicide risk and its associated factors in patients presenting in antenatal clinic

Introduction: Suicide during the antenatal period is one of the major indirect causes of maternal death. This study aims to determine the prevalence of suicidal risk and its related factors among the patients attending the antenatal clinic of a tertiary care center. Method: This is a cross-sectional study conducted in the antenatal clinic Patan Hospital, Lalitpur, Nepal among 124 pregnant patients using purposive sampling and face-to-face interviews applying a semi-structured proforma and P4 suicide screener. Ethical approval was obtained. The percentage of patients with suicide risk was calculated and stratified into minimal, lower, and higher risk of suicide. The association between suicide risk and different sociodemographic and clinical variables was done using the Chi-square test. A p-values ≤0.05 was considered statistically significant. Result: The prevalence of suicide risk was 32 out of 124 patients (25.8%). When risk stratification was done a maximum of 22(17.7%) had a higher risk for suicide. The risk was associated the employment status (p=0.039), history of previous suicide attempts (p=0.04), and diagnosed mental disorder (p=0.027). Conclusion: Our study shows the suicide risk among antenatal females was 25.8% reaffirming the need for proper screening and referral