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Textual Complexity and Discourse Structure in Computer-Supported Collaborative Learning
[chapter]
2012
Lecture Notes in Computer Science
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Computer-Supported Collaborative Learning (CSCL) technologies play an increasing role simultaneously with the appearance of the Social Web. ...
We propose the extension of the model and the previous applications of the polyphonic method to both collaborative CSCL chats and individual metacognitive essays performed by the same learners. ...
Futur utterance based on the cohe of concept repetition, an Meanwhile, thread cohesio previously stated and pro perpetuated through the ent From a completely diff applying social network a importance in ...
doi:10.1007/978-3-642-30950-2_46
fatcat:xoq3rnanw5agflb5lffuut5yli
Joint Emoji Classification and Embedding Learning
[chapter]
2017
Lecture Notes in Computer Science
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In particular, we use a convolutional neural network to get the embedding of the utterance and match it with the embedding of the corresponding emoji, to obtain its best classification, and otherwise also ...
Plentiful utterances with emoji are produced by humans manually in social media platforms every day, which make emoji great influence on the human life. ...
in human-human conversation on social network platforms, emoji is often used as a part of humans' utterances to indicate their current emotion. ...
doi:10.1007/978-3-319-63564-4_4
fatcat:ueirrievdnec7ek2tsi44pqkxu
Filling Conversation Ellipsis for Better Social Dialog Understanding
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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The phenomenon of ellipsis is prevalent in social conversations. ...
Specifically, we first complete user utterances to resolve ellipsis using an end-to-end pointer network model. ...
Our hybrid model will utilize the SRL prediction of the ellipsis utterance and provide correct output.
Case Study
Conclusion Ellipsis frequently occurs in social conversations. ...
doi:10.1609/aaai.v34i05.6505
fatcat:awvy7th4gzdofmu4vevrfpagye
Filling Conversation Ellipsis for Better Social Dialog Understanding
[article]
2019
arXiv
pre-print
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The phenomenon of ellipsis is prevalent in social conversations. ...
Specifically, we first complete user utterances to resolve ellipsis using an end-to-end pointer network model. ...
Our hybrid model will utilize the SRL prediction of the ellipsis utterance and provide correct output.
Case Study
Conclusion Ellipsis frequently occurs in social conversations. ...
arXiv:1911.10776v1
fatcat:ahfxhqyvebdgbjyzjh2gmmhlue
A First Look at Developers' Live Chat on Gitter
[article]
2021
arXiv
pre-print
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We believe that the findings and insights will enable a better understanding of developers' live chat, pave the way for other researchers, as well as a better utilization and mining of knowledge embedded ...
We manually analyze 749 dialogs in the first phase, followed by an automated analysis of over 173K dialogs in the second phase. ...
Properties of social networks. Table 3 shows the social network properties of the eight communities. ...
arXiv:2107.05823v1
fatcat:xegbwmhwmzal7juru3gba447gq
Speech interaction strategies for a humanoid assistant
2018
MATEC Web of Conferences
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In order to meet these demands, we are developing low-latency streaming based automatic speech recognition systems in combination with recurrent neural network based Natural Language Understanding systems ...
The robot is to act as a second pair of hands that can assist the technician when he is in need of help. ...
This work has been conducted in the SecondHands project which has received funding from the European Union's Horizon 2020 Research and Innovation programme (call:H2020-ICT-2014-1, RIA) under grant agreement ...
doi:10.1051/matecconf/201816101002
fatcat:m7d6p6zgujbezl452zqmgux2qi
A review of evaluation techniques for social dialogue systems
2017
Proceedings of the 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial Agents - ISIAA 2017
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2017 pre-print arXiv:1709.04409v1 fatcat:gvptlj75dzh3nadqpr6wh4o5ra
In contrast with goal-oriented dialogue, social dialogue has no clear measure of task success. Consequently, evaluation of these systems is notoriously hard. ...
In this paper, we review current evaluation methods, focusing on automatic metrics. ...
Acknowledgements This research is supported by Rieser's EPSRC projects DILiGENt (EP/M005429/1) and MaDrIgAL (EP/N017536/1); and from the RAEng/Leverhulme Trust Senior Research Fellowship Scheme (Hastie ...
doi:10.1145/3139491.3139504
dblp:conf/icmi/CurryHR17
fatcat:vlfnq26nyre57d6kllraeztrym
The mad hatter's cocktail party
2003
Proceedings of the conference on Human factors in computing systems - CHI '03
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In face-to-face interactions in such social groups, conversational floors change frequently, e.g., two participants split off to form a new conversational floor, a participant moves from one conversational ...
This paper presents a mobile audio space intended for use by gelled social groups. ...
(A time correction is applied to account for network delays.) We then enumerate the valid configurations of disjoint subsets of users. ...
doi:10.1145/642611.642686
dblp:conf/chi/AokiRSTWW03
fatcat:ntufbvhembanvn3gng6pztpzsy
Semi-Automated Dialogue Act Classification for Situated Social Agents in Games
[chapter]
2011
Lecture Notes in Computer Science
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As a step toward simulating dynamic dialogue between agents and humans in virtual environments, we describe learning a model of social behavior composed of interleaved utterances and physical actions. ...
A quantitative evaluation of statistical models learned from the gameplay logs demonstrates that semi-automatically classified dialogue acts yield significantly more predictive power than automatically ...
For each game log in the test set, we slide a window of size n over the entire log and count correct predictions of the next utterance or action. ...
doi:10.1007/978-3-642-18181-8_11
fatcat:mkegsppwr5hqhpzrxpxiwve2uq
The mad hatter's cocktail party
2003
Proceedings of the conference on Human factors in computing systems - CHI '03
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In face-to-face interactions in such social groups, conversational floors change frequently, e.g., two participants split off to form a new conversational floor, a participant moves from one conversational ...
This paper presents a mobile audio space intended for use by gelled social groups. ...
On a more basic level, we believe that automatic techniques of the kind reported here can form the basis for the lightweight, attentionally undemanding interfaces needed to support "always on," social ...
doi:10.1145/642685.642686
fatcat:tggy6dk6rjf33h6vaw266o5cc4
A Taxonomy of Empathetic Response Intents in Human Social Conversations
[article]
2020
arXiv
pre-print
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Furthermore, using lexical and machine learning methods, we automatically analysed both speaker and listener utterances of the entire dataset with identified response intents and 32 emotion categories. ...
This approach can produce socially unacceptable responses due to the lack of large-scale quality data used to train the neural models. ...
Conclusion In this paper, we introduced a taxonomy of empathetic response intents capable of supporting automatic empathetic communication in social chitchat. ...
arXiv:2012.04080v1
fatcat:ausl4dkajrdvvhww6p6mxhvyoe
Real-time Automatic Word Segmentation for User-generated Text
[article]
2019
arXiv
pre-print
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In this paper, we propose a real-time assistive technology that utilizes an automatic segmentation. ...
The training scheme is fully neural network-based and straightforward. Besides, we show how the proposed system can be utilized in a web-based real-time revision for a user-generated text. ...
Acknowledgments This work was supported by the Technology Innovation Program (10076583, Development of freerunning speech recognition technologies for embedded robot system) funded By the Ministry of Trade ...
arXiv:1810.13113v2
fatcat:3xejhykzuva5fjfrtjprv7rqg4
Assessing Effectiveness: Ways of Seeing Impact
2009
International Journal of Interdisciplinary Social Sciences
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This paper presents experiments aiming at improving the automatic transcription of oral presentations through the inclusion of the slides in the recognition process. ...
and the content of the slides. ...
The Oracle is implemented by forcing the confusion networks to allocate a slot for each H S content word uttered by the speakers and by using the correct transcription as the only hypothesis for such slots ...
doi:10.18848/1833-1882/cgp/v03i12/52776
fatcat:2fa6rj2r7vdbdkrg6apia52boi
Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor
[article]
2017
arXiv
pre-print
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They are capable of deriving higher order features from input features themselves. ...
Using supporting backchannel (BC) cues can make human-computer interaction more social. BCs provide a feedback from the listener to the speaker indicating to the speaker that he is still listened to. ...
Acknowledgements This work has been conducted in the SecondHands project which has received funding from the European Union's Horizon 2020 Research and Innovation programme (call:H2020-ICT-2014-1, RIA) ...
arXiv:1706.01340v1
fatcat:g5yf5cjgwnfg3d3r7ypwggw2b4
Modeling Interaction Structure for Robot Imitation Learning of Human Social Behavior
2019
IEEE Transactions on Human-Machine Systems
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This study presents a learning-by-imitation technique that learns social robot interaction behaviors from natural humanhuman interaction data and requires minimum input from a designer. ...
The technique is demonstrated in a scenario where the robot learns to play the role of a travel agent. ...
Conclusion This study presented a technique for automatically learning social robot interaction behaviors, in the form of humanreadable rules, from unannotated human-human interaction examples that are ...
doi:10.1109/thms.2019.2895753
fatcat:g7yomv3qrrfgxjbfkylg3cgjy4
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