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107 results on '"Singh, Anushka"'

2. How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?

Author

Singh, Anushka, Sai, Ananya B., Dabre, Raj, Puduppully, Ratish, Kunchukuttan, Anoop, and Khapra, Mitesh M

Subjects
Computer Science - Computation and Language
Abstract

While machine translation evaluation has been studied primarily for high-resource languages, there has been a recent interest in evaluation for low-resource languages due to the increasing availability of data and models. In this paper, we focus on a zero-shot evaluation setting focusing on low-resource Indian languages, namely Assamese, Kannada, Maithili, and Punjabi. We collect sufficient Multi-Dimensional Quality Metrics (MQM) and Direct Assessment (DA) annotations to create test sets and meta-evaluate a plethora of automatic evaluation metrics. We observe that even for learned metrics, which are known to exhibit zero-shot performance, the Kendall Tau and Pearson correlations with human annotations are only as high as 0.32 and 0.45. Synthetic data approaches show mixed results and overall do not help close the gap by much for these languages. This indicates that there is still a long way to go for low-resource evaluation.

Published
2024

3. Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis

Author

Shah, Agam, Hiray, Arnav, Shah, Pratvi, Banerjee, Arkaprabha, Singh, Anushka, Eidnani, Dheeraj, Chava, Sahasra, Chaudhury, Bhaskar, and Chava, Sudheer

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning, Quantitative Finance - Computational Finance
Abstract

In this paper, we investigate the influence of claims in analyst reports and earnings calls on financial market returns, considering them as significant quarterly events for publicly traded companies. To facilitate a comprehensive analysis, we construct a new financial dataset for the claim detection task in the financial domain. We benchmark various language models on this dataset and propose a novel weak-supervision model that incorporates the knowledge of subject matter experts (SMEs) in the aggregation function, outperforming existing approaches. We also demonstrate the practical utility of our proposed model by constructing a novel measure of optimism. Here, we observe the dependence of earnings surprise and return on our optimism measure. Our dataset, models, and code are publicly (under CC BY 4.0 license) available on GitHub., Comment: Accepted at The Seventh FEVER Workshop EMNLP 2024

Published
2024

9. Empirical Analysis of Depression Detection Using Deep Learning on Twitter

Author

Jaiswal, Arunima, Porwal, Payal, Singh, Anushka, Kumari, Pooja, Bhalla, Priyadeep, Sachdeva, Nitin, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Swaroop, Abhishek, editor, Polkowski, Zdzislaw, editor, Correia, Sérgio Duarte, editor, and Virdee, Bal, editor

Published
2023
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16. A Metal‐Free Amination of 1,2‐Diaza‐1,3‐dienes Using Hydrazine Hydrate Through N−N Bond Cleavage.

Author

Kumar, Abhishek, Jaiswal, Arvind Kumar, Kushawaha, Ajay Kishor, Singh, Anushka, Kant, Ruchir, Shukla, Sanjeev K., and Sashidhara, Koneni V.

Subjects
HETEROCYCLIC compounds, SCISSION (Chemistry), DENSITY functional theory, HYDRAZINES, PYRAZOLES
Abstract

Herein, we have developed a metal‐free, atom‐economical, intrinsically sustainable approach for synthesizing unprotected 4,5‐diamino pyrazoles from readily available 1,2‐diaza‐1,3‐dienes. This approach utilizes inexpensive hydrazine hydrate as the aminating source. Further, we have explored the reactivity of 4,5‐diamino pyrazole to synthesize fused pyrazolo[3,4‐d]‐1,2,3‐triazole heterocyclic compounds. We have also successfully demonstrated the synthetic utility of this methodology in synthesizing two drug analogs: analgesic difenamizole and anti‐psychotic CDPPB. The role of the phenyl ring of 3‐substituted‐1,2‐diaza‐1,3‐diene was explained with the help of control experimental and density functional theory (DFT) computation studies. [ABSTRACT FROM AUTHOR]

Published
2024
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17. BER Analysis of FRFT-OFDM System Over α-µ Fading Channel Under CFO

Author

Mishra, Ashish, Singh, Anushka, Verma, Aditi, Pratap Singh, S., Lakshmanan, M., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Agrawal, Rajeev, editor, Kishore Singh, Chandramani, editor, and Goyal, Ayush, editor

Published
2021
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20. Encoding Context in Task-Oriented Dialogue Systems Using Intent, Dialogue Acts, and Slots

Author

Chauhan, Anamika, Malhotra, Aditya, Singh, Anushka, Arora, Jwalin, Shukla, Shubham, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Saini, Harvinder Singh, editor, Sayal, Rishi, editor, Buyya, Rajkumar, editor, and Aliseri, Govardhan, editor

Published
2020
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22. The Uniqueness of Albumin as a Carrier in Nano Drug Delivery

Author

Yash Gupta, Rai, Vishal, Singh, Anushka, Khan, Soban, Bano, Nisha, Yadav, Reena, Yash Gupta, Rai, Vishal, Singh, Anushka, Khan, Soban, Bano, Nisha, and Yadav, Reena

Abstract

The quest for precision medicine hinges on targeted drug delivery, minimizing off-target effects while maximizing therapeutic impact. Among nanocarriers, albumin – the most abundant protein in human blood – emerges as a uniquely biocompatible stealth bomber. Its inherent advantages, including exceptional biodegradability, prolonged circulation, and natural affinity for diseased tissues, perfectly align with the goals of personalized medicine. Albumin readily solubilizes poorly soluble drugs, enhancing bioavailability and broadening the therapeutic arsenal. Its versatile surface allows for targeted modifications, enabling dual diagnosis and treatment (theranostics) tailored to individual needs. While challenges remain in optimizing drug loading and targeting specificity, albumin-based nanocarriers hold immense promise for revolutionizing personalized healthcare, delivering potent therapeutics with pinpoint accuracy. The burgeoning field of nanodrug delivery seeks to redefine therapeutic landscapes by engineering nanoscale carriers that meticulously deliver potent drugs to their designated targets, minimizing systemic exposure and maximizing therapeutic efficacy. This pursuit aligns perfectly with the burgeoning field of precision medicine, where personalized treatments demand exquisite control over drug delivery. Within this intricate choreography, albumin, the abundant and versatile protein resident in human plasma, emerges as a maestro, orchestrating a symphony of advantages that make it a prime candidate for nanocarrier construction.

Published
2024

23. A Novel 20nm FinFET Based 10T SRAM Cell Design for Improved Performance

Author

Singh, Anushka, Sharma, Yash, Sharma, Arvind, Pandey, Archana, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sengupta, Anirban, editor, Dasgupta, Sudeb, editor, Singh, Virendra, editor, Sharma, Rohit, editor, and Kumar Vishvakarma, Santosh, editor

Published
2019
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43. The Lifeworld of Law: Methodological Multiplicity in Legal Pedagogy

Author

Singh, Anushka

Abstract

Multidisciplinary studies in the field of law in India in the last two decades or so have gained traction. The grudging acceptance of insights from social sciences into the technical discipline of law has expanded the horizon of its study. The presence of insights from other disciplines, however, has not predominantly altered the approach to legal education in India and they have at best remained alternate modes of legal analyses juxtaposed with a technical-doctrinal study of law. The methodological challenge is to think of ways to dovetail the insights to co-produce legal knowledge which is shared across disciplines. This paper is an attempt in that direction by bringing in a synthesis between the ‘external’ and the ‘internal’ perspectives, arguing in favour of interdisciplinarity as a pedagogical frame. The approach towards legal pedagogy is heuristic where methodical perspectives are not imparted but demonstrated. This paper undertakes this task in relation to how criminal law in India can be taught through a case study on the law of sedition—Section 124A of the Indian Penal Code, examining it from three different perspectives—the doctrinal, the instrumentalist and the constitutivist. The learnings from different vantage points and the exchange between them create lessons for legal pedagogy.

Published
2024
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