[PDF] Top 20 A Context aware Natural Language Generator for Dialogue Systems
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A Context aware Natural Language Generator for Dialogue Systems
... trainable context- aware NLG system for SDS that is able to entrain to the user and provides naturally variable outputs because generation is conditioned not only on the input DA, but also on the preceding ... See full document
6
Dual Latent Variable Model for Low Resource Natural Language Generation in Dialogue Systems
... this context, one can think of a potential so- lution where the domain adaptation learning is uti- ...a generator that can directly work well on a scarce ... See full document
10
Dialogue Act Classification with Context Aware Self Attention
... in dialogue-based interaction (Austin, ...in Natural Language Understanding, with applications in question answering, conversational agents, speech recognition, ... See full document
7
Usefulness, localizability, humanness, and language-benefit: additional evaluation criteria for natural language dialogue systems
... a natural language dialogue system based entirely on the use of ...NL generator as displayed in Figure ...the natural language (NL) parser to analyze the input using the ... See full document
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Semantically Conditioned LSTM based Natural Language Generation for Spoken Dialogue Systems
... handcrafted generator (hdc), k-nearest neighbour (kNN), class-based LMs (classlm) as proposed in Oh and Rudnicky (2000), the heuris- tic gated RNN as described in Wen et ...handcrafted generator was ... See full document
11
CASA NLU: Context Aware Self Attentive Natural Language Understanding for Task Oriented Chatbots
... Natural Language Understanding (NLU) is a core component of dialog ...a dialogue management (DM) com- ponent. Such NLU systems cater to utterances in isolation, thus pushing the problem of ... See full document
6
Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems
... for Natural Language Generation (NLG) in Spoken Dialogue Systems, based on statis- tical planning, given noisy feedback from the current generation context ... See full document
9
Natural Language Dialogue in a Virtual Assistant Interface
... The interaction agent will compose its own intervention given a state and a thread, the system discourse. For this aim, a third module is necessary: the discourse generator. It has to select a set of communicative ... See full document
5
Dialogue Annotation for Language Systems Evaluation
... lost.Being aware of the importance of having annotated dialogue cor- pora, specially for the future development of standardized SLDS evaluation procedures and tools, we summarize our experience on this ... See full document
6
Context aware Natural Language Generation for Spoken Dialogue Systems
... open-domain dialogue response generation ...the dialogue act (for instance, confirm or request some information), including the answer ...the context information, such as the input question and ... See full document
10
Deep Learning for Dialogue Systems
... feature generator and the neural architecture can be merged with CRFs (Xu and Sarikaya, ...knowledge context and shorter term dialogue context into these models (Chen et ... See full document
7
Improving Long Distance Slot Carryover in Spoken Dialogue Systems
... Coreference resolution Our problem is closely related to coreference resolution, where mentions in the current utterance are to be detected and linked to previously mentioned entities. Previ- ous work on coreference ... See full document
10
An Evaluation Framework for Natural Language Understanding in Spoken Dialogue Systems
... casts dialogue act identification as a supervised learning ...a dialogue act label may be book-request, while an example of one too fine-grained may be book-request-by- ... See full document
6
Answering it with Charts: Dialogue in Natural Language and Charts
... Charts and graphics, as well as languages, are im- portant modes of communication. Considering this importance, the automatic design of charts and graphics suitable for achieving a given communica- tive purpose has been ... See full document
7
A Taxonomy of Collaborative Context Aware Systems
... collaborative context-aware system as a system that comprises a group of entities, capable of sensing, inferring, and actuating that communicate in order to achieve a common ...among ... See full document
13
An adaptable task oriented dialog system for stand alone embedded devices
... Given the hardware constraints of embedded devices, we decided to use rule-based approaches where possible, and to reserve classifier-based and deep learning approaches for components such as the NER and the Semantic ... See full document
9
Application development using modeling and dynamical systems analysis
... in context-aware ubicomp systems builds rapidly due to the multitude of contextual inputs sourced from users, devices and the surrounding ...ubicomp systems are repeatedly listed as major ... See full document
6
Context Aware Smoothing for Neural Machine Translation
... NMT systems is that each word is represented as a low-dimension, real- valued vector, instead of storing statistical rules as in ...sentence context, it is represented as the fixed vector to learn source ... See full document
10
A Framework for Developing Context-aware Systems
... investigating context-aware middle- ware as a solution to meet some of the challenges, such as heterogeneity of devices and concurrency control, that arise in developing context-aware ... See full document
26
A Context-based framework for mobile applications
... of context-based systems is the advanced automation features the systems can potentially ...ing systems where the inherent portable nature of mobile devices allows a great number of contexts ... See full document
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