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Found 7 papers, 1 papers with code
OntoSenseNet: A Verb-Centric Ontological Resource for Indian Languages
This framework proposes that meaning of words are in-formed by intrinsic and extrinsic ontological structures.
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis
With this as basis, we aim to analyze the importance of sense-annotations obtained from OntoSenseNet in performing the task of sentiment analysis.
BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations
The presented work aims at generating a systematically annotated corpus that can support the enhancement of sentiment analysis tasks in Telugu using word-level sentiment annotations.
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu)
In this paper, we discuss the enrichment of a manually developed resource of Telugu lexicon, OntoSenseNet.
A Formal Ontology-Based Classification of Lexemes and its Applications
Annotations are done by native speakers according to defined annotation guidelines.
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet
In this paper, we discuss the enrichment of a manually developed resource, OntoSenseNet for Telugu.
Enrichment of OntoSenseNet: Adding a Sense-annotated Telugu lexicon
In this paper, we provide an overview of the annotation procedure and present the validation of our resource through inter-annotator agreement.
