Ruuh: A Deep Learning Based Conversational Social Agent Article Swipe
Sonam Damani
,
Nitya Raviprakash
,
Umang Gupta
,
Ankush Chatterjee
,
Meghana Joshi
,
Khyatti Gupta
,
Kedhar Nath Narahari
,
Puneet Agrawal
,
Manoj Kumar Chinnakotla
,
Sneha Magapu
,
Abhishek Mathur
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1810.12097
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1810.12097
Dialogue systems and conversational agents are becoming increasingly popular in the modern society but building an agent capable of holding intelligent conversation with its users is a challenging problem for artificial intelligence. In this demo, we demonstrate a deep learning based conversational social agent called "Ruuh" (facebook.com/Ruuh) designed by a team at Microsoft India to converse on a wide range of topics. Ruuh needs to think beyond the utilitarian notion of merely generating "relevant" responses and meet a wider range of user social needs, like expressing happiness when user's favorite team wins, sharing a cute comment on showing the pictures of the user's pet and so on. The agent also needs to detect and respond to abusive language, sensitive topics and trolling behavior of the users. Many of these problems pose significant research challenges which will be demonstrated in our demo. Our agent has interacted with over 2 million real world users till date which has generated over 150 million user conversations.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1810.12097
- https://arxiv.org/pdf/1810.12097
- OA Status
- green
- Cited By
- 3
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2898536220
All OpenAlex metadata
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https://openalex.org/W2898536220Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.1810.12097Digital Object Identifier
- Title
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Ruuh: A Deep Learning Based Conversational Social AgentWork title
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preprintOpenAlex work type
- Language
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enPrimary language
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2018Year of publication
- Publication date
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2018-10-22Full publication date if available
- Authors
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Sonam Damani, Nitya Raviprakash, Umang Gupta, Ankush Chatterjee, Meghana Joshi, Khyatti Gupta, Kedhar Nath Narahari, Puneet Agrawal, Manoj Kumar Chinnakotla, Sneha Magapu, Abhishek MathurList of authors in order
- Landing page
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https://arxiv.org/abs/1810.12097Publisher landing page
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https://arxiv.org/pdf/1810.12097Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/1810.12097Direct OA link when available
- Concepts
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Converse, Conversation, Computer science, Dialog system, Happiness, Human–computer interaction, Intelligent agent, World Wide Web, Chatbot, Artificial intelligence, Internet privacy, Psychology, Social psychology, Communication, Dialog box, Geometry, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2021: 1, 2020: 1, 2019: 1Per-year citation counts (last 5 years)
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3Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.the | 10, 67, 98, 101, 124 |
| abstract_inverted_index.Many | 126 |
| abstract_inverted_index.Ruuh | 62 |
| abstract_inverted_index.also | 109 |
| abstract_inverted_index.cute | 94 |
| abstract_inverted_index.date | 153 |
| abstract_inverted_index.deep | 38 |
| abstract_inverted_index.like | 84 |
| abstract_inverted_index.meet | 76 |
| abstract_inverted_index.over | 146, 157 |
| abstract_inverted_index.pose | 130 |
| abstract_inverted_index.real | 149 |
| abstract_inverted_index.team | 50, 90 |
| abstract_inverted_index.this | 33 |
| abstract_inverted_index.till | 152 |
| abstract_inverted_index.user | 81, 160 |
| abstract_inverted_index.when | 87 |
| abstract_inverted_index.wide | 58 |
| abstract_inverted_index.will | 135 |
| abstract_inverted_index.with | 22, 145 |
| abstract_inverted_index.India | 53 |
| abstract_inverted_index.agent | 16, 43, 108, 142 |
| abstract_inverted_index.based | 40 |
| abstract_inverted_index.demo, | 34 |
| abstract_inverted_index.demo. | 140 |
| abstract_inverted_index.needs | 63, 110 |
| abstract_inverted_index.range | 59, 79 |
| abstract_inverted_index.these | 128 |
| abstract_inverted_index.think | 65 |
| abstract_inverted_index.users | 24, 151 |
| abstract_inverted_index.which | 134, 154 |
| abstract_inverted_index.wider | 78 |
| abstract_inverted_index.wins, | 91 |
| abstract_inverted_index.world | 150 |
| abstract_inverted_index."Ruuh" | 45 |
| abstract_inverted_index.agents | 4 |
| abstract_inverted_index.beyond | 66 |
| abstract_inverted_index.called | 44 |
| abstract_inverted_index.detect | 112 |
| abstract_inverted_index.merely | 71 |
| abstract_inverted_index.modern | 11 |
| abstract_inverted_index.needs, | 83 |
| abstract_inverted_index.notion | 69 |
| abstract_inverted_index.social | 42, 82 |
| abstract_inverted_index.topics | 119 |
| abstract_inverted_index.user's | 88, 102 |
| abstract_inverted_index.users. | 125 |
| abstract_inverted_index.abusive | 116 |
| abstract_inverted_index.capable | 17 |
| abstract_inverted_index.comment | 95 |
| abstract_inverted_index.holding | 19 |
| abstract_inverted_index.million | 148, 159 |
| abstract_inverted_index.popular | 8 |
| abstract_inverted_index.problem | 28 |
| abstract_inverted_index.respond | 114 |
| abstract_inverted_index.sharing | 92 |
| abstract_inverted_index.showing | 97 |
| abstract_inverted_index.society | 12 |
| abstract_inverted_index.systems | 1 |
| abstract_inverted_index.topics. | 61 |
| abstract_inverted_index.Dialogue | 0 |
| abstract_inverted_index.becoming | 6 |
| abstract_inverted_index.behavior | 122 |
| abstract_inverted_index.building | 14 |
| abstract_inverted_index.converse | 55 |
| abstract_inverted_index.designed | 47 |
| abstract_inverted_index.favorite | 89 |
| abstract_inverted_index.learning | 39 |
| abstract_inverted_index.pictures | 99 |
| abstract_inverted_index.problems | 129 |
| abstract_inverted_index.research | 132 |
| abstract_inverted_index.trolling | 121 |
| abstract_inverted_index.Microsoft | 52 |
| abstract_inverted_index.generated | 156 |
| abstract_inverted_index.happiness | 86 |
| abstract_inverted_index.language, | 117 |
| abstract_inverted_index.responses | 74 |
| abstract_inverted_index.sensitive | 118 |
| abstract_inverted_index."relevant" | 73 |
| abstract_inverted_index.artificial | 30 |
| abstract_inverted_index.challenges | 133 |
| abstract_inverted_index.expressing | 85 |
| abstract_inverted_index.generating | 72 |
| abstract_inverted_index.interacted | 144 |
| abstract_inverted_index.challenging | 27 |
| abstract_inverted_index.demonstrate | 36 |
| abstract_inverted_index.intelligent | 20 |
| abstract_inverted_index.significant | 131 |
| abstract_inverted_index.utilitarian | 68 |
| abstract_inverted_index.conversation | 21 |
| abstract_inverted_index.demonstrated | 137 |
| abstract_inverted_index.increasingly | 7 |
| abstract_inverted_index.intelligence. | 31 |
| abstract_inverted_index.conversational | 3, 41 |
| abstract_inverted_index.conversations. | 161 |
| abstract_inverted_index.(facebook.com/Ruuh) | 46 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 11 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.5 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile |