Search Results for author: Sourish Dasgupta

Found 7 papers, 0 papers with code

Inline Citation Classification using Peripheral Context and Time-evolving Augmentation

no code implementations1 Mar 2023 Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty

Current datasets and methods used for inline citation classification only use citation-marked sentences constraining the model to turn a blind eye to domain knowledge and neighboring contextual sentences.

Formal Ontology Learning from English IS-A Sentences

no code implementations11 Feb 2018 Sourish Dasgupta, Ankur Padia, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann

Ontology learning (OL) is the process of automatically generating an ontological knowledge base from a plain text document.

SimDoc: Topic Sequence Alignment based Document Similarity Framework

no code implementations15 Nov 2016 Gaurav Maheshwari, Priyansh Trivedi, Harshita Sahijwani, Kunal Jha, Sourish Dasgupta, Jens Lehmann

Document similarity is the problem of estimating the degree to which a given pair of documents has similar semantic content.

Clustering Question Answering +2

BitSim: An Algebraic Similarity Measure for Description Logics Concepts

no code implementations19 Mar 2015 Sourish Dasgupta, Gaurav Maheshwari, Priyansh Trivedi

In this paper, we propose an algebraic similarity measure {\sigma}BS (BS stands for BitSim) for assigning semantic similarity score to concept definitions in ALCH+ an expressive fragment of Description Logics (DL).

Semantic correspondence Semantic Similarity +1

Formal Ontology Learning on Factual IS-A Corpus in English using Description Logics

no code implementations25 Dec 2013 Sourish Dasgupta, Ankur Padia, Kushal Shah, Prasenjit Majumder

Hence, we also claim that such sentences requires special studies in the context of OL before any truly formal OL can be proposed.

Description Logics based Formalization of Wh-Queries

no code implementations25 Dec 2013 Sourish Dasgupta, Rupali KaPatel, Ankur Padia, Kushal Shah

The problem of Natural Language Query Formalization (NLQF) is to translate a given user query in natural language (NL) into a formal language so that the semantic interpretation has equivalence with the NL interpretation.

Information Retrieval Question Answering +2

DLOLIS-A: Description Logic based Text Ontology Learning

no code implementations24 Mar 2013 Sourish Dasgupta, Ankur Padia, Kushal Shah, Rupali KaPatel, Prasenjit Majumder

Researchers in this field have been motivated by the possibility of automatically building a knowledge base on top of text documents so as to support reasoning based knowledge extraction.

Formal Logic

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