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20172023
most citedMeasuring the Similarity of Sentential Arguments in Dialog

17 citations · 81 across the 13 of their papers we have counts for

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Showing 2017Show all

9 papers · 1 filter

cs.CL2017

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…

cs.CL2017★ 6 cited

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…

cs.CL2017

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…

cs.CL2017

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…

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.CL2017★ 17 cited

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…

cs.CL2017★ 11 cited

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…

cs.AI2017★ 11 cited

Using Summarization to Discover Argument Facets in Online Ideological Dialog

Amita Misra, Pranav Anand, Jean E Fox Tree +1

More and more of the information available on the web is dialogic, and a significant portion of it takes place in online forum conversations about current social and political topi…

cs.AI2017★ 4 cited

Topic Independent Identification of Agreement and Disagreement in Social Media Dialogue

Amita Misra, Marilyn Walker

Research on the structure of dialogue has been hampered for years because large dialogue corpora have not been available. This has impacted the dialogue research community's abilit…