17 citations · 81 across the 13 of their papers we have counts for
13 papers · 1 filter
Controlled Text Generation with Hidden Representation Transformations
Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi +3
We propose CHRT (Control Hidden Representation Transformation) - a controlled language generation framework that steers large language models to generate text pertaining to certain…
Machine Translation Impact in E-commerce Multilingual Search
Bryan Zhang, Amita Misra
Previous work suggests that performance of cross-lingual information retrieval correlates highly with the quality of Machine Translation. However, there may be a threshold beyond w…
Using Structured Representation and Data: A Hybrid Model for Negation and Sentiment in Customer Service Conversations
Amita Misra, Mansurul Bhuiyan, Jalal Mahmud +1
Twitter customer service interactions have recently emerged as an effective platform to respond and engage with customers. In this work, we explore the role of negation in customer…
Don't get Lost in Negation: An Effective Negation Handled Dialogue Acts Prediction Algorithm for Twitter Customer Service Conversations
Mansurul Bhuiyan, Amita Misra, Saurabh Tripathy +2
In the last several years, Twitter is being adopted by the companies as an alternative platform to interact with the customers to address their concerns. With the abundance of such…
SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems
Kevin K. Bowden, Jiaqi Wu, Shereen Oraby +2
In dialogue systems, the tasks of named entity recognition (NER) and named entity linking (NEL) are vital preprocessing steps for understanding user intent, especially in open doma…
Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework
Kevin K. Bowden, Jiaqi Wu, Shereen Oraby +2
In this paper we introduce a novel, open domain socialbot for the Amazon Alexa Prize competition, aimed at carrying on friendly conversations with users on a variety of topics. We…
Summarizing Dialogic Arguments from Social Media
Amita Misra, Shereen Oraby, Shubhangi Tandon +3
Online argumentative dialog is a rich source of information on popular beliefs and opinions that could be useful to companies as well as governmental or public policy agencies. Com…
Combining Search with Structured Data to Create a More Engaging User Experience in Open Domain Dialogue
Kevin K. Bowden, Shereen Oraby, Jiaqi Wu +2
The greatest challenges in building sophisticated open-domain conversational agents arise directly from the potential for ongoing mixed-initiative multi-turn dialogues, which do no…
Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog
Shereen Oraby, Vrindavan Harrison, Amita Misra +2
Effective models of social dialog must understand a broad range of rhetorical and figurative devices. Rhetorical questions (RQs) are a type of figurative language whose aim is to a…
Data-Driven Dialogue Systems for Social Agents
Kevin K. Bowden, Shereen Oraby, Amita Misra +2
In order to build dialogue systems to tackle the ambitious task of holding social conversations, we argue that we need a data driven approach that includes insight into human conve…
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…
Measuring the Similarity of Sentential Arguments in Dialog
Amita Misra, Brian Ecker, Marilyn A. Walker
When people converse about social or political topics, similar arguments are often paraphrased by different speakers, across many different conversations. Debate websites produce c…
A Semi-Supervised Approach to Detecting Stance in Tweets
Amita Misra, Brian Ecker, Theodore Handleman +2
Stance classification aims to identify, for a particular issue under discussion, whether the speaker or author of a conversational turn has Pro (Favor) or Con (Against) stance on t…