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tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets

, , and . (June 2021)

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Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction., , , , and . WWW, page 2646-2656. ACM, (2022)#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network., , , , , and . PAKDD (1), volume 9077 of Lecture Notes in Computer Science, page 108-121. Springer, (2015)A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles., , , and . TextGraphs@EMNLP, page 25-33. The Association for Computer Linguistics, (2014)Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations., , , , and . FAT, page 129-138. ACM, (2019)Modeling the Structure and Dynamics of the Consonant Inventories: A Complex Network Approach., , , and . COLING, page 601-608. (2008)Automatic Discovery of Adposition Typology., , , and . COLING, page 1037-1046. ACL, (2014)Community based search on power law networks., , and . COMSWARE, page 279-282. IEEE, (2008)CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines., , , , and . SIGIR, page 3154-3164. ACM, (2022)MVL: Multi-View Learning for News Recommendation., , and . SIGIR, page 1873-1876. ACM, (2020)Distinguishing between Topical and Non-Topical Information Diffusion Mechanisms in Social Media., , and . ICWSM, page 151-160. AAAI Press, (2016)