Reflections on certain religious issues; particularly with reference to India.

Study on the fundamentals of Vaiśeṣika school in six systems of Hindu philosophy.

Study on concept of perfection (guṇa) in the schools of Indic philosophy.

Research work on Buddhist philosophy and doctrines.

Social, cultural and contemporary study of Jainism and Jaina literature.

Educational and philosophical study of Viṣṇupurāṇa.

When encountering a set of alternatives displayed in the form of a list, the decision maker usually determines a particular alternative, after which she stops checking the remaining ones, and chooses an alternative from those observed so far. We present a framework in which both decision problems are explicitly modeled, and axiomatically characterize a ‘divide-and-choose’ rule which unifies successive choice and satisficing choice.

Study on the concept of jiva in Śaktiviśiṣṭādvaitavedānta philosophy and also in Indic philosophy.

Study of Śrīkarabhāṣya, Viraśaiva commentary by Śrīpatipaṇḍita, 14th century on Brahmasūtra of Bādarāyaṇa, basic work on Vedanta philosophy; includes complete text of Śrīkarabhāṣya.

On Ambedkar's philosophy and views, and Indian philosophy on dalits; includes quotation extracted from Buddhist scriptures and literature.

The task of rhetorical role labeling is to assign labels (such as Fact, Argument, Final Judgement, etc.) to sentences of a court case document. Rhetorical role labeling is an important problem in the field of Legal Analytics, since it can aid in various downstream tasks as well as enhances the readability of lengthy case documents. The task is challenging as case documents are highly various in structure and the rhetorical labels are often subjective. Previous works for automatic rhetorical role identification (...) (i) mainly used Conditional Random Fields over manually handcrafted features, and (ii) focused on certain law domains only (e.g., Immigration cases, Rent law), and a particular jurisdiction/country (e.g., US, Canada, India). In this work, we improve upon the prior works on rhetorical role identification by proposing novel Deep Learning models for automatically identifying rhetorical roles, which substantially outperform the prior methods. Additionally, we show the effectiveness of the proposed models over documents from five different law domains, and from two different jurisdictions—the Supreme Court of India and the Supreme Court of the UK. Through extensive experiments over different variations of the Deep Learning models, including Transformer models based on BERT and LegalBERT, we show the robustness of the methods for the task. We also perform an extensive inter-annotator study and analyse the agreement of the predictions of the proposed model with the annotations by domain experts. We find that some rhetorical labels are inherently hard/subjective and both law experts and neural models frequently get confused in predicting them correctly. (shrink)

In the domain of legal information retrieval, an important challenge is to compute similarity between two legal documents. Precedents play an important role in The Common Law system, where lawyers need to frequently refer to relevant prior cases. Measuring document similarity is one of the most crucial aspects of any document retrieval system which decides the speed, scalability and accuracy of the system. Text-based and network-based methods for computing similarity among case reports have already been proposed in prior works but (...) not without a few pitfalls. Since legal citation networks are generally highly disconnected, network based metrics are not suited for them. Till date, only a few text-based and predominant embedding based methods have been employed, for instance, TF-IDF based approaches, Word2Vec and Doc2Vec based approaches. We investigate the performance of 56 different methodologies for computing textual similarity across court case statements when applied on a dataset of Indian Supreme Court Cases. Among the 56 different methods, thirty are adaptations of existing methods and twenty-six are our proposed methods. The methods studied include models such as BERT and Law2Vec. It is observed that the more traditional methods that rely on a bag-of-words representation performs better than the more advanced context-aware methods for computing document-level similarity. Finally we nominate, via empirical validation, five of our best performing methods as appropriate for measuring similarity between case reports. Among these five, two are adaptations of existing methods and the other three are our proposed methods. (shrink)

Summarization of legal case judgement documents is a practical and challenging problem, for which many summarization algorithms of different varieties have been tried. In this work, rather than developing yet another summarization algorithm, we investigate if intelligently ensembling (combining) the outputs of multiple (base) summarization algorithms can lead to better summaries of legal case judgements than any of the base algorithms. Using two datasets of case judgement documents from the Indian Supreme Court, one with extractive gold standard summaries and the (...) other with abstractive gold standard summaries, we apply various ensembling techniques on summaries generated by a wide variety of summarization algorithms. The ensembling methods applied range from simple voting-based methods to ranking-based and graph-based ensembling methods. We show that many of our ensembling methods yield summaries that are better than the summaries produced by any of the individual base algorithms, in terms of ROUGE and METEOR scores. (shrink)

In a Common Law system, legal practitioners need frequent access to prior case documents that discuss relevant legal issues. Case documents are generally very lengthy, containing complex sentence structures, and reading them fully is a strenuous task even for legal practitioners. Having a concise overview of these documents can relieve legal practitioners from the task of reading the complete case statements. Legal catchphrases are (multi-word) phrases that provide a concise overview of the contents of a case document, and automated generation (...) of catchphrases is a challenging problem in legal analytics. In this paper, we propose a novel supervised neural sequence tagging model for the extraction of catchphrases from legal case documents. Specifically, we show that incorporating document-specific information along with a sequence tagging model can enhance the performance of catchphrase extraction. We perform experiments over a set of Indian Supreme Court case documents, for which the gold-standard catchphrases (annotated by legal practitioners) are obtained from a popular legal information system. The performance of our proposed method is compared with that of several existing supervised and unsupervised methods, and our proposed method is empirically shown to be superior to all baselines. (shrink)

This paper focuses on the phenomenology of timeless awareness.

Il existe plusieurs faisceaux de présomption qui témoigneraient de relation entre les Polynésiens et les Amérindiens d’Amérique du Sud : il est aujourd’hui admis que les Polynésiens ont atteint l’Amérique du Sud. Si la patate douce est un indice d’anciens contacts entre la Polynésie et l’Amérique du Sud, des archéologues ont aussi trouvé sur la façade pacifique de l’Amérique du Chili des ossements de poulets polynésiens. Quelles seraient les étoiles que les Polynésiens pourraient avoir suivies pour se pourvoir en patate (...) douce en Amérique du Sud et plus précisément au Chili, sous les latitudes où les chercheurs ont trouvé des poules polynésiennes? L’ethnoastronomie tentera de répondre à la question de l’itinéraire de la patate douce, en soulevant l’hypothèse du rôle des étoiles comme repère spatial. There are several bundles of presumption that would testify of relationship between Polynesians and Native Americans from South America: it is now accepted that the Polynesians have reached South America. If sweet potato is a sign of ancient contacts between Polynesia and South America, archaeologists have also found on the Pacific Ocean facade in Chile the bones of Polynesian chickens. What would be the stars possibly followed by the Polynesians to get sweet potato in South America and Chile, under the latitudes where researchers have found Polynesian chickens? The ethnoastronomy will attempt to respond to the issue of the route of the sweet potato, by raising the hypothesis of the role of the stars as spatial coordinate system. (shrink)