{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/towards-enhancing-lexical-resource-and-using","title":"Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis","arxiv_id":"1807.03004","date":"2018-07-09","proceeding":"COLING 2018 8","authors":["Sreekavitha Parupalli","Vijjini Anvesh Rao","Radhika Mamidi"],"abstract":"This paper illustrates the interface of the tool we developed for crowd\nsourcing and we explain the annotation procedure in detail. Our tool is named\nas 'Parupalli Padajaalam' which means web of words by Parupalli. The aim of\nthis tool is to populate the OntoSenseNet, sentiment polarity annotated Telugu\nresource. Recent works have shown the importance of word-level annotations on\nsentiment analysis. With this as basis, we aim to analyze the importance of\nsense-annotations obtained from OntoSenseNet in performing the task of\nsentiment analysis. We explain the fea- tures extracted from OntoSenseNet\n(Telugu). Furthermore we compute and explain the adverbial class distribution\nof verbs in OntoSenseNet. This task is known to aid in disambiguating\nword-senses which helps in enhancing the performance of word-sense\ndisambiguation (WSD) task(s).","url_abs":"http://arxiv.org/abs/1807.03004v2","url_pdf":"http://arxiv.org/pdf/1807.03004v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"towards-enhancing-lexical-resource-and-using","repo_url":"https://github.com/Shreekavithaa/crowd-sourcing","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"word-sense-disambiguation","task_name":"Word Sense Disambiguation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}