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Converse, Focus and Guess – Towards Multi-Document Driven Dialogue [article]

Han Liu, Caixia Yuan, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Wang
2021 arXiv   pre-print
We propose a novel task, Multi-Document Driven Dialogue (MD3), in which an agent can guess the target document that the user is interested in by leading a dialogue.  ...  Keeping guessing the target document in mind, it converses with the user conditioned on both document engagement and user feedback.  ...  The research is supported in part by the Natural Science Foundation of China (Grant No. 62076032) and National Key Research and Development Program of China (Grant No. 2020YFF0305302).  ... 
arXiv:2102.02435v1 fatcat:y27it2g3i5ed5msmobdl626fz4

Opponent Modeling in Negotiation Dialogues by Related Data Adaptation [article]

Kushal Chawla, Gale M. Lucas, Jonathan May, Jonathan Gratch
2022 arXiv   pre-print
In this work, we propose a ranker for identifying these priorities from negotiation dialogues. The model takes in a partial dialogue as input and predicts the priority order of the opponent.  ...  In a multi-issue negotiation, it involves inferring the relative importance that the opponent assigns to each issue under discussion, which is crucial for finding high-value deals.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Office  ... 
arXiv:2205.00344v2 fatcat:i6chiagckfcmnjcl4w3elb4idi

A Survey on Dialogue Systems: Recent Advances and New Frontiers [article]

Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
2018 arXiv   pre-print
Dialogue systems have attracted more and more attention.  ...  In particular, we generally divide existing dialogue systems into task-oriented and non-task-oriented models, then detail how deep learning techniques help them with representative algorithms and finally  ...  to build data-driven, open-domain conversation systems between humans and computers.  ... 
arXiv:1711.01731v3 fatcat:6wuovcynqbhlzmuorchn4mn6ma

Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation [article]

Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, Michel Galley, Jianfeng Gao, Georgios P. Spithourakis, Lucy Vanderwende
2017 arXiv   pre-print
In human evaluation, the gap between human performance and that of both neural and retrieval architectures suggests that multi-modal IGC presents an interesting challenge for dialogue research.  ...  IGC falls on the continuum between chit-chat and goal-directed conversation models, where visual grounding constrains the topic of conversation to event-driven utterances.  ...  The ICG Dataset The majority of the available corpora for developing data-driven dialogue systems contain taskoriented and goal-driven conversational data (Serban et al., 2015b) .  ... 
arXiv:1701.08251v2 fatcat:psa5hxyiefaszlnkjbgx2mjxey

A Hybrid Architecture for Multi-Party Conversational Systems [article]

Maira Gatti de Bayser, Paulo Cavalin, Renan Souza, Alan Braz, Heloisa Candello, Claudio Pinhanez, Jean-Pierre Briot
2017 arXiv   pre-print
In this paper we present the challenges of designing and building multi-party conversational systems, the state of the art, our proposed hybrid architecture using both rules and machine learning and some  ...  Multi-party Conversational Systems are systems with natural language interaction between one or more people or systems.  ...  We present our hybrid conceptual architecture (Section 4), and insights and lessons learned after implementing and validating one on the finance domain (Section 5).  ... 
arXiv:1705.01214v2 fatcat:43s67jq3bverdlcxtcchelgdki

ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI [article]

Amanda Cercas Curry, Gavin Abercrombie, Verena Rieser
2021 arXiv   pre-print
We present the first English corpus study on abusive language towards three conversational AI systems gathered "in the wild": an open-domain social bot, a rule-based chatbot, and a task-based system.  ...  We find that the distribution of abuse is vastly different compared to other commonly used datasets, with more sexually tinted aggression towards the virtual persona of these systems.  ...  We leave more focused approaches, like multi-task learning, for future work.  ... 
arXiv:2109.09483v1 fatcat:h434pu77lzdhjkmx6jqks3mray

Computational Approaches to the Pragmatics Problem

Chris Cummins, Jan P. de Ruiter
2014 Language and Linguistics Compass  
This becomes especially pertinent when we consider 295 statistically-driven dialogue systems of the kind surveyed by Young et al. (2013).  ...  And 95 just as we ask this question for human interactors, so we can ask it for artificial systems, and 96 in particular spoken dialogue systemsthat is, systems that are designed to converse with 97 humans  ... 
doi:10.1111/lnc3.12072 fatcat:5a3scnr3mra7rh3epka7xrnzxm

Cross-Sector Partnerships for Sustainability: How Mission-Driven Conveners Drive Change in National Coffee Platforms

Iteke van Hille, Frank G.A. de Bakker, Julie E. Ferguson, Peter Groenewegen
2020 Sustainability  
In this study, we shift the focus towards the convener by considering a case of a 'mission-driven convener', an NPO that initiates CSPs as a strategy to realize its own sustainability objectives.  ...  These strategies comprise productively combining certification-driven efforts with CSPs, combining process and outcomes of CSPs, and drawing on cross-level dynamics derived from outsourcing of convening  ...  Earlier versions of this article were presented at several conferences and workshops, including EGOS (Tallinn, 2018), the Academy of Management Meeting (Boston, MA, 2019) and at the Business & Society  ... 
doi:10.3390/su12072846 fatcat:snn7gatcujcdbbp57wqnoso4wm

Knowledge-Grounded Dialogue Flow Management for Social Robots and Conversational Agents [article]

Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa
2021 arXiv   pre-print
The article focuses on the algorithm for Dialogue Management that selects the most appropriate conversation topic depending on the user's input.  ...  The article proposes a system for knowledge-based conversation designed for Social Robots and other conversational agents.  ...  In many Social Robotics applications, the main focus is on the conversation.  ... 
arXiv:2108.02174v1 fatcat:styi2za2kzbdbgrq4bkgerjf2a

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research [article]

Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea
2020 arXiv   pre-print
Further, we attempt to chart a possible course for this field that covers many overlooked and unanswered questions.  ...  It has widespread commercial applications in various domains like marketing, risk management, market research, and politics, to name a few.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of A*STAR.  ... 
arXiv:2005.00357v5 fatcat:gjzglyhtvvc3xnuaeqjocbp57u

Postdigital Dialogue

Petar Jandrić, Thomas Ryberg, Jeremy Knox, Nataša Lacković, Sarah Hayes, Juha Suoranta, Mark Smith, Anne Steketee, Michael Peters, Peter McLaren, Derek R. Ford, Gordon Asher (+4 others)
2018 Postdigital Science and Education  
This article is a multi-authored experimental postdigital dialogue about postdigital dialogue.  ...  However, they are also very aware of its limits and insist that their conclusions are not consensual or homogenous.  ...  Acknowledgements Gordon would like to thank Leigh French and Antonia Darder for their helpful dialogical comments in the 'The Postdigital: Dialogue, Democracy and Dissensus' section.  ... 
doi:10.1007/s42438-018-0011-x fatcat:eqephxzigbcglj4fywhafim5xm

Helping Agents in VMT [chapter]

Yue Cui, Rohit Kumar, Sourish Chaudhuri, Gahgene Gweon, Carolyn Penstein Rosé
2009 Studying Virtual Math Teams  
classification and dialogue agents.  ...  In this chapter we describe ongoing work towards enabling dynamic support for collaborative learning in the Virtual Math Teams (VMT) environment using state-of-the-art language technologies such as text  ...  The event-driven approach adopted by Basilica has further advantages for building multi-modal conversational applications.  ... 
doi:10.1007/978-1-4419-0228-3_19 fatcat:fysif46xdbfrbigvmeuttbo6ea

A Survey of Machine Narrative Reading Comprehension Assessments [article]

Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey Stanton, Mo Yu
2022 arXiv   pre-print
differences among assessment tasks; and discuss the implications of our typology for new task design and the challenges of narrative reading comprehension.  ...  Based on narrative theories, reading comprehension theories, as well as existing machine narrative reading comprehension tasks and datasets, we propose a typology that captures the main similarities and  ...  Character-Centric The task of coreference resolution for story characters [Chen and Choi, 2016; Chen et al., 2017] focuses on identifying the characters mentioned in multiparty conversations.  ... 
arXiv:2205.00299v1 fatcat:ueifos3ymrhhfpd7hkbzdagxwy

Sustainable Verbal and Non-verbal Human-Robot Interaction Through Cloud Services [article]

Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa
2022 arXiv   pre-print
This article presents the design and the implementation of CAIR: a cloud system for knowledge-based autonomous interaction devised for Social Robots and other conversational agents.  ...  Developers are provided with a sustainable solution to manage verbal and non-verbal interaction through a network connection, with about 3,000 topics of conversation ready for "chit-chatting" and a library  ...  Based on the Dialogue Tree, and referring to Algorithm 1, the key ideas for knowledge-driven conversation can be briefly summarized as follows (the whole process [5] is more complex).  ... 
arXiv:2203.02606v1 fatcat:vsphjiosgfgqldjm5nd4qjfble

Enactivism and Robotic Language Acquisition: A Report from the Frontier

Frank Förster
2019 Philosophies  
I analyse the architecture and design decisions along the five enactivist core themes of autonomy, embodiment, emergence, sense-making, and experience, and discuss the role of affect due to its central  ...  In conclusion, I join some enactivists in demanding that interaction is taken seriously as an irreducible and independent subject of scientific investigation, and go further by hypothesising its potential  ...  Examples of the latter are the conversational repair mechanisms that have been documented by conversation analysts such as Sacks and colleagues [30] , or the one-second time constraint for conversational  ... 
doi:10.3390/philosophies4010011 fatcat:exq7vowmobdidcm4hpg6ezkjoe
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