65 research outputs found

    Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats

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    Breaking down a document or a conversation into multiple contiguous segments based on its semantic structure is an important and challenging problem in NLP, which can assist many downstream tasks. However, current works on topic segmentation often focus on segmentation of structured texts. In this paper, we comprehensively analyze the generalization capabilities of state-of-the-art topic segmentation models on unstructured texts. We find that: (a) Current strategies of pre-training on a large corpus of structured text such as Wiki-727K do not help in transferability to unstructured texts. (b) Training from scratch with only a relatively small-sized dataset of the target unstructured domain improves the segmentation results by a significant margin.Comment: NeurIPS 2022 : ENLS

    Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models

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    Breaking down a document or a conversation into multiple contiguous segments based on its semantic structure is an important and challenging problem in NLP, which can assist many downstream tasks. However, current works on topic segmentation often focus on segmentation of structured texts. In this paper, we comprehensively analyze the generalization capabilities of state-of-the-art topic segmentation models on unstructured texts. We find that: (a) Current strategies of pre-training on a large corpus of structured text such as Wiki-727K do not help in transferability to unstructured conversational data. (b) Training from scratch with only a relatively small-sized dataset of the target unstructured domain improves the segmentation results by a significant margin. We stress-test our proposed Topic Segmentation approach by experimenting with multiple loss functions, in order to mitigate effects of imbalance in unstructured conversational datasets. Our empirical evaluation indicates that Focal Loss function is a robust alternative to Cross-Entropy and re-weighted Cross-Entropy loss function when segmenting unstructured and semi-structured chats.Comment: Accepted to IntelliSys 2023. arXiv admin note: substantial text overlap with arXiv:2211.1495

    On Surgical Fine-tuning for Language Encoders

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    Fine-tuning all the layers of a pre-trained neural language encoder (either using all the parameters or using parameter-efficient methods) is often the de-facto way of adapting it to a new task. We show evidence that for different downstream language tasks, fine-tuning only a subset of layers is sufficient to obtain performance that is close to and often better than fine-tuning all the layers in the language encoder. We propose an efficient metric based on the diagonal of the Fisher information matrix (FIM score), to select the candidate layers for selective fine-tuning. We show, empirically on GLUE and SuperGLUE tasks and across distinct language encoders, that this metric can effectively select layers leading to a strong downstream performance. Our work highlights that task-specific information corresponding to a given downstream task is often localized within a few layers, and tuning only those is sufficient for strong performance. Additionally, we demonstrate the robustness of the FIM score to rank layers in a manner that remains constant during the optimization process.Comment: Accepted to EMNLP 202

    Intensity of contact with frontline workers and its influence on maternal and newborn health behaviors: cross-sectional survey in rural Uttar Pradesh, India

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    Background: India is committed to improving maternal and newborn health in order to achieve the targets for India\u2019s Millennium Development Goal 4. Considering their role as a link between community and health systems, frontline workers (FLWs) can be effectively utilized in strengthening maternal and newborn care. In this paper, we set out to examine the effect of intensity of contact with FLWs on key maternal and newborn health behaviors and to determine if this association varies by status of Self Help Group (SHG) membership. Methods: This population-based cross-sectional study included 2208 currently married women aged 15\u201349 years who had delivered a baby during the last 15 months prior to the survey and selected through a multi-stage cluster sampling from rural villages and urban wards. The outcome of interest included variables related to key knowledge and practice of healthy behavior in relation to maternal and newborn health and exposure variable considered was intensity of contact with FLWs. Results: Of the women interviewed, 1729 (78%) belonged to SHG household. For knowledge on the need for at least 3 antenatal care (ANC) check-ups, two tetanus toxoid (TT) injections and consumption of 100 or more ironfolic acid (IFA) tablets, proportion of those who were aware of these practices increased with increasing number of contacts with FLWs (P value < 0.001). Practice for TT injections showed an increasing trend with increasing number of contacts with FLW. An increase in the odds of delivering in an institution was observed in those who had higher number of contacts as compared to those with no contacts (P value < 0.001). With regard to newborn healthy behavior practice, breastfeeding within 1 h of delivery showed significant association and the odds of this practice improved in those who had 65 3 contacts with FLW as compared to those had no contacts. Except for consumption of 100 or more IFA tablets, there was no interaction of these associations by SHG status. Conclusion: There was an overall low prevalence of both knowledge and practice of key maternal and newborn healthy behaviors and only a few of these were associated with frequency of contacts with FLW. Findings not only highlight the urgent need for effectively leveraging FLWs to strengthen maternal and newborn care but also to improve the quality of services provided by them

    Hand Foot and Mouth Disease in an infant

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    ABSTRACT Hand foot and mouth disease is a self limiting enteroviral lesion characterized by papulovesicular eruptions over hands and feet with circinate oral ulcers in the palate. The fever associated with the illness subsides in 48 hours and rash lasts for 7 to 10 days. Rarely they can also be associated with complications like encephalitis and myocarditis. We report a one year six month old infant with hand foot mouth disease which resolved without complications

    Association of antenatal care and place of delivery with newborn care practices: evidence from a cross-sectional survey in rural Uttar Pradesh, India

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    Background: Appropriate immediate newborn care is vital for neonatal survival. Antenatal period is a crucial time to impart knowledge and awareness to mothers regarding newborn care, either during facility visits or during home visits by community health workers (CHWs) especially in the rural context. In this paper, we report newborn care practices in rural Uttar Pradesh (UP) and have explored association between newborn care practices with antenatal care, contact with community health workers during pregnancy and place of childbirth. Methods: We use cross-sectional baseline data (which is part of a larger intervention project) collected from 129 gram panchayats (GPs) from 15 administrative blocks spread over five districts of UP in 2013. From currently married women (n = 2208) of 15\u201349 years, who delivered 15 months prior to the survey, we collected information on women\u2019s demographic and socio-economic characteristics, knowledge and practice of reproductive, maternal, newborn, child health and nutrition behaviours. Association of newborn practices with antenatal care, contacts by community health worker during pregnancy and place of childbirth were tested using random intercept logistic regression, adjusting for socio-economic and demographic factors and accounting for clustering at the GP and block levels. Results: Eighty-three percent of 2208 mothers received ANC, but only half of the respondents received a minimum of three ANC visits. More than two thirds of respondents delivered at a health facility. Practice of newborn care was poor: merely one fourth of women practised clean cord care, one third of women followed good breastfeeding practices (initiation with an hour of birth, fed colostrum and did not give pre-lacteal feeds) and one third provided adequate thermal care (kept baby warm and delayed bathing). Only 5% followed all above practices with evidence of clustering of newborn care practices at the block and GP levels. While facility-based childbirth was strongly associated with appropriate newborn care practices, ANC visits and contacts with CHWs was not associated with all newborn care practices. Conclusion: The quality of ANC care provided needs to be improved to have an impact on newborn care practices. Our finding emphasizes the importance of facility-based birthing. There is a need for training CHWs to strengthen their counselling skills on newborn care. Variation of newborn care practices between communities should be taken into consideration while implementing any intervention to optimize benefits

    Glycosylation at Asn91 of H1N1 haemagglutinin affects binding to glycan receptors

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    The glycoprotein HA (haemagglutinin) on the surface of influenza A virus plays a central role in recognition and binding to specific host cell-surface glycan receptors and in fusion of viral membrane to the host nuclear membrane during viral replication. Given the abundance of HA on the viral surface, this protein is also the primary target for host innate and adaptive immune responses. Although addition of glycosylation sites on HA are a part of viral evolution to evade the host immune responses, there are specific glycosylation sites that are conserved during most of the evolution of the virus. In the present study, it was demonstrated that one such conserved glycosylation site at Asn91 in H1N1 HA critically governs the glycan receptor-binding specificity and hence would potentially impinge on the host adaptation of the virus

    Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography:an international expert consensus

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    The Gallbladder Reporting and Data System (GB-RADS) ultrasound (US) risk stratification is proposed to improve consistency in US interpretations, reporting, and assessment of risk of malignancy in gallbladder wall thickening in non-acute setting. It was developed based on a systematic review of the literature and the consensus of an international multidisciplinary committee comprising expert radiologists, gastroenterologists, gastrointestinal surgeons, surgical oncologists, medical oncologists, and pathologists using modified Delphi method. For risk stratification, the GB-RADS system recommends six categories (GB-RADS 0–5) of gallbladder wall thickening with gradually increasing risk of malignancy. GB-RADS is based on gallbladder wall features on US including symmetry and extent (focal vs. circumferential) of involvement, layered appearance, intramural features (including intramural cysts and echogenic foci), and interface with the liver. GB-RADS represents the first collaborative effort at risk stratifying the gallbladder wall thickening. This concept is in line with the other US-based risk stratification systems which have been shown to increase the accuracy of detection of malignant lesions and improve management. Graphical abstract: [Figure not available: see fulltext.]
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