activity
20162023
most citedCruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness

3 citations · 8 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2023

Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contexts

Geetanjali Rakshit, Jeffrey Flanigan

Figurative language is commonplace in natural language, and while making communication memorable and creative, can be difficult to understand. In this work, we investigate the robu…

cs.CL2021★ 2 cited

ASQ: Automatically Generating Question-Answer Pairs using AMRs

Geetanjali Rakshit, Jeffrey Flanigan

We introduce ASQ, a tool to automatically mine questions and answers from a sentence using the Abstract Meaning Representation (AMR). Previous work has used question-answer pairs t…

cs.CL2019★ 3 cited

CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness

Jiaqi Wu, Ryan Compton, Geetanjali Rakshit +3

We present our system, CruzAffect, for the CL-Aff Shared Task 2019. CruzAffect consists of several types of robust and efficient models for affective classification tasks. We utili…

cs.CL2017★ 1 cited

Debbie, the Debate Bot of the Future

Geetanjali Rakshit, Kevin K. Bowden, Lena Reed +2

Chatbots are a rapidly expanding application of dialogue systems with companies switching to bot services for customer support, and new applications for users interested in casual…

cs.CL2016★ 2 cited

Prepositional Attachment Disambiguation Using Bilingual Parsing and Alignments

Geetanjali Rakshit, Sagar Sontakke, Pushpak Bhattacharyya +1

In this paper, we attempt to solve the problem of Prepositional Phrase (PP) attachments in English. The motivation for the work comes from NLP applications like Machine Translation…