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20162021
most citedAn Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text

16 citations · 57 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CL20201 cited

Transition-Based Dependency Parsing using Perceptron Learner

Rahul Radhakrishnan Iyer, Miguel Ballesteros, Chris Dyer +1

Syntactic parsing using dependency structures has become a standard technique in natural language processing with many different parsing models, in particular data-driven models th…

cs.CL20194 cited

Simultaneous Identification of Tweet Purpose and Position

Rahul Radhakrishnan Iyer, Yulong Pei, Katia Sycara

Tweet classification has attracted considerable attention recently. Most of the existing work on tweet classification focuses on topic classification, which classifies tweets into…

cs.CL20198 cited

A Machine Learning Framework for Authorship Identification From Texts

Rahul Radhakrishnan Iyer, Carolyn Penstein Rose

Authorship identification is a process in which the author of a text is identified. Most known literary texts can easily be attributed to a certain author because they are, for exa…

cs.CL201916 cited

An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text

Rahul Radhakrishnan Iyer, Katia Sycara

With the increasing growth of social media, people have started relying heavily on the information shared therein to form opinions and make decisions. While such a reliance is moti…

cs.CL2016

Joint Embeddings of Hierarchical Categories and Entities

Yuezhang Li, Ronghuo Zheng, Tian Tian +3

Due to the lack of structured knowledge applied in learning distributed representation of categories, existing work cannot incorporate category hierarchies into entity information.…