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User modelling, dialog structure, and dialog strategy in HAM-ANS
1985
Proceedings of the second conference on European chapter of the Association for Computational Linguistics -
unpublished
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-structuring dialog -understanding and generating a wider range of speech acts than simply information request and answer user modelling User modelling in HAM-ANS is closely connected to dialog structure ...
In advising the user, the system generates and verbalizes speech acts. The choice of the speech act is guided by the user profile and the dialog strategy of the system. ...
This paper does not evaluate the overall HAM-ANS but is restricted to the aspect of dialog structuring and user modelling. ...
doi:10.3115/976931.976971
fatcat:4h5r2atum5c23ajkvjkggydtsy
User Models in Dialog Systems
[chapter]
1989
User Models in Dialog Systems
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Research within and outside of artificial intelligence which is related to user modeling in dialog systems is discussed. ...
Although the survey is restricted to user models in naturallanguage dialog systems, most of the concepts and methods discussed can be extended to AI dialog systems in general. ...
Anticipation Feedback A special case of exploitation of a user model (which is realized in dialog systems like HAM-ANS, NAOS and IMP) is its use in various forms of anticipation feedback loops. ...
doi:10.1007/978-3-642-83230-7_1
fatcat:d2ma2ui6ofbcdom64qxpou3u54
Dialogue-based user models
1986
Proceedings of the IEEE
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The paper investigates several approaches to user modeling in natural-language dialog systems. ...
Then, techniques for constructing user models in the course of a dialog are presented and recent proposals for representing a wide range of assumptions about a user's beliefs and goals in a system's knowledge ...
Jameson and an anonymous referee for their comments on an earlier version of this paper. ...
doi:10.1109/proc.1986.13574
fatcat:7wxtm5uzbje3jjlshdudzfuosy
Mixed-initiative in human augmented mapping
2009
2009 IEEE International Conference on Robotics and Automation
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In this paper we discuss a mixed initiative strategy for robotic learning by interacting with a user in a joint map acquisition process. ...
In scenarios that require a close collaboration and knowledge transfer between inexperienced users and robots, the "learning by interacting" paradigm goes hand in hand with appropriate representations ...
"Cognitive Interaction Techology" (CITEC), and the German Service Robotic Initiative (DE-SIRE). ...
doi:10.1109/robot.2009.5152683
dblp:conf/icra/PeltasonSSWHT09
fatcat:prhf27y2d5dybmjmhrzhqa4w3e
A SPOKEN DIALOG SYSTEM WITH AUTOMATIC RECOVERY MECHANISM FROM MISRECOGNITION
2006
2006 IEEE Spoken Language Technology Workshop
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As for a dialog strategy, we introduced a new criterion based on 'efficiency for convergence' and 'consistency with understanding hypotheses' to select an appropriate system response. ...
We developed a spoken dialog system using these techniques and showed some dialog examples in which misrecognition was naturally corrected. ...
An example of a dialog.
Dialog example Examples of the dialogs with the system are shown in Figure 3 . The user utterance, recognition results, and understanding hypotheses are shown separately. ...
doi:10.1109/slt.2006.326790
dblp:conf/slt/KitaokaYN06
fatcat:ypbzlfh22ben5icqlgbhckmbxa
Attentive History Selection for Conversational Question Answering
2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19
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2019 pre-print arXiv:1908.09456v1 fatcat:ovv3iyea5jesnm6jqvbmez5yui
We show that position information plays an important role in conversation history modeling. We also visualize the history attention and provide new insights into conversation history understanding. ...
Third, in addition to handling conversation history, we take advantage of multi-task learning (MTL) to do answer prediction along with another essential conversation task (dialog act prediction) using ...
ACKNOWLEDGMENTS This work was supported in part by the Center for Intelligent Information Retrieval and in part by NSF IIS-1715095. ...
doi:10.1145/3357384.3357905
dblp:conf/cikm/QuYQZCCI19
fatcat:hptk7biqozagvkvf2m2e2u4pjy
A speech understanding and dialog system with a homogeneous linguistic knowledge base
1994
IEEE Transactions on Pattern Analysis and Machine Intelligence
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To enforce a more model driven strategy neither a left to right nor an island driven strategy is used. ...
To enable the system to communicate in a spoken dialog with the user, and not only to answer questions like in a question-answer system a dialog component and also an answer generating component are needed ...
and coeditor of another book on knowledge representation for image understanding and on the architecture of speech dialog systems. ...
doi:10.1109/34.273733
fatcat:5ch4agpxfnhf3gofbdsvlpfdfq
A Conversational Approach to Process-oriented Case-based Reasoning
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
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Process-oriented case-based reasoning (POCBR) supports workflow modeling by retrieving and adapting workflows that have proved useful in the past. ...
This paper closes this gap and presents a conversational POCBR approach (C-POCBR) in which questions related to structural properties of the workflow cases are generated automatically. ...
In C-POCBR the users follow the dialog and investigate the presented workflow. ...
doi:10.24963/ijcai.2018/762
dblp:conf/ijcai/ZeyenMB18
fatcat:argpjlcn3zaqvola4jcb4ozoji
How to Win Arguments
2020
Datenbank-Spektrum
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pros and cons to a user on a controversial topic. ...
To raise awareness of the different aspects of persuasion (how and what), we present a multimodal dialog system consisting of two virtual agents that use synthetic speech in a discussion setting to present ...
For the argumentation strategy, the combination of argument structure and dialogue game in a multi-agent setup was evaluated in a user study [17] by comparing transcripts of artificial discussions with ...
doi:10.1007/s13222-020-00345-9
fatcat:27l4fbeyl5eqbopma5zfknl7em
Cooperative access systems
1984
Future generations computer systems
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Topics covered include user modeling, the generation of explanations, mixed initiative dialogs and knowledge acquisition via NL communication. ...
Then we briefly review the state of the art in NL interfaces to databases and expert systems. ...
I am, however, currently coordinating a joint project, funded by the German Ministry for Research and Technology, in which companies like Nixdorf, Siemens and SCS together with academic research groups ...
doi:10.1016/0167-739x(84)90031-1
fatcat:egrgt7dg25aq3l3ihcyyo6tqta
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems
[article]
2021
arXiv
pre-print
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In this paper, we leverage multi-task learning techniques to train a GPT-2 based model on a more challenging dataset with multiple domains, multiple modalities, and more diversity in output formats. ...
Previous work showed the effectiveness of using a single GPT-2 based model to predict belief states and responses via causal language modeling. ...
We use a pretrained GPT-2 (Radford et al. 2019 ) model with a LM head as the main structure to predict Multimodal Dialog Response Generation & Retrieval and Multimodal Dialog State Tracking (MM-DST). ...
arXiv:2110.05221v1
fatcat:urfigpg4lvbkhfc2c4k2jtzl3a
Conversational Machine Comprehension: a Literature Review
[article]
2020
arXiv
pre-print
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The rise in interest has, however, led to a flurry of concurrent publications, each with a different yet structurally similar modeling approach and an inconsistent view of the surrounding literature. ...
Conversational Machine Comprehension (CMC), a research track in conversational AI, expects the machine to understand an open-domain natural language text and thereafter engage in a multi-turn conversation ...
Choi et al. (2018) validate that this dialog-turn encoding strategy performs better in practice. 2. ...
arXiv:2006.00671v2
fatcat:ht77ouzpdfgirb57v664z722ke
GKS: Graph-based Knowledge Selector for Task-oriented Dialog System
[article]
2021
arXiv
pre-print
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In the Tenth Dialog System Technology Challenges (DSTC10), we participated in the second Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations. ...
As a result, GKS outperforms several SOTA models proposed in the data-set on knowledge selection from the Ninth Dialog System Technology Challenges (DSTC9). ...
Traditionally, TF-IDF technique (Ramos 2003) and language model are applied on similar tasks. As mentioned above, the limitations of previous works lie in the model structure. ...
arXiv:2112.03719v2
fatcat:h6zon3drxbhg3mtkbzkyvvma6a
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment
[article]
2021
arXiv
pre-print
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To facilitate research in this direction, we propose IGLU: Interactive Grounded Language Understanding in a Collaborative Environment. ...
Human intelligence has the remarkable ability to adapt to new tasks and environments quickly. ...
The world state representations take into account the Hamming distance between the target structure and built structure and it also tells how the target structure can be constructed successfully given ...
arXiv:2110.06536v2
fatcat:jyyjlgbmpbdtjf6ctqssl2xpf4
Page 77 of Computational Linguistics Vol. 14, Issue 3
[page]
1988
Computational Linguistics
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
.; and Marburger, H. 1984 Talking it Over: The Natural Dialog System HAM-ANS. Technical Report ANS- 26, Research Unit for Information Science and Artificial Intelli- gence, University of Hamburg, W. ...
on the information contained in user model. ...
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