[PDF] Top 20 Context aware Natural Language Generation for Spoken Dialogue Systems
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Context aware Natural Language Generation for Spoken Dialogue Systems
... We recruit 10 judges for human evaluation experiments. For each task, the three systems(classlm, SC-LSTM and CA-LSTM with attention and act type embeddings which is denoted by CA-LSTM for simplicity) are used to ... See full document
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Natural Language Generation for Spoken Dialogue System using RNN Encoder Decoder Networks
... generate utterances. Wen et al. (2015b) proposed SC-LSTM generator which introduced a control sigmoid gate to the LSTM cell to jointly learn the gating mechanism and language model. A recur- ring problem in such ... See full document
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Multi domain Neural Network Language Generation for Spoken Dialogue Systems
... two systems among the four were compared: training from scratch using full dataset (scrALL), adapting with DT training but only 10% of target domain data (DT-10%), adapting with ML training but only 10% of target ... See full document
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User Simulations for Context Sensitive Speech Recognition in Spoken Dialogue Systems
... recognizer, natural language understanding, and dialogue manager/discourse history to classify hypotheses as correct, partially correct, or ...more dialogue and task-oriented features (e.g. ... See full document
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Dual Latent Variable Model for Low Resource Natural Language Generation in Dialogue Systems
... Natural language generation (NLG) plays an crit- ical role in Spoken dialogue systems (SDSs) with the NLG task is mainly to convert a meaning representation produced by the ... See full document
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Sequential Dialogue Context Modeling for Spoken Language Understanding
... oriented dialogue systems help users with ac- complishing tasks, like making restaurant reserva- tions or booking flights, by interacting with them in natural ...the spoken language ... See full document
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Semantically Conditioned LSTM based Natural Language Generation for Spoken Dialogue Systems
... learning generation decisions from data with min- imal dependence on rules and ...n-gram language model (LM) approach proposed by Oh and Rudnicky ...of generation decisions to choose the most ... See full document
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Crowdsourcing Language Generation Templates for Dialogue Systems
... a spoken dia- logue system that gives directions in a ...extracted dialogue corpus contains phrases the system has generated, and crowd-workers con- struct alternates for these phrases, which can be plugged ... See full document
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Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems
... the Dialogue Manager ...level generation steps or actions, for example first to summarize all the items and then to recommend the highest ranking ... See full document
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A Context aware Natural Language Generator for Dialogue Systems
... our natural language generator based on the sequence-to- sequence approach (Duˇsek and Jurˇc´ıˇcek, 2016b), allowing it to exploit preceding context user utter- ances to adapt (entrain) to the user’s ... See full document
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Stylistic Variation in Television Dialogue for Natural Language Generation
... dramatic dialogue is to build stylistic models with linguistic features related to natural language generation (NLG) ...Television dialogue are exemplars of many differ- ent linguistic ... See full document
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Structured Learning for Context aware Spoken Language Understanding of Robotic Commands
... and language-dependent as- pects related to the ...adaptive Spoken Language Under- standing chain for robotic commands, that explicitly depends on the operational en- vironment during both the ... See full document
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A Comparative Analysis of Crowdsourced Natural Language Corpora for Spoken Dialog Systems
... the context of ...elicit natural lan- guage exclusively for semantic frames with slots and values, ...corresponding natural language sentence is ... See full document
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Optimising Incremental Generation for Spoken Dialogue Systems: Reducing the Need for Fillers
... incremental systems have faced: (1) they rely on hand-written rules which are time-consuming and expensive to produce, (2) they do not provide a mechanism to deal with uncertainty introduced by varying user ... See full document
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Rapid Prototyping of Robust Language Understanding Modules for Spoken Dialogue Systems
... large amount of data. The LU should also be robust, i.e., it should be accurate even if some automatic speech recognition (ASR) errors are contained in its input. A robust LU module is also helpful when col- lecting ... See full document
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Flexible Guidance Generation Using User Model in Spoken Dialogue Systems
... We have developed the Kyoto City Bus Information System, which locates the bus a user wants to take, and tells him/her how long it will take before its arrival. The system can be accessed via telephone including cellular ... See full document
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Dialogue Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems
... We employ the three types of features as afore- mentioned to train the SVMs and the decision tree models. To select the most valuable features for model training, we conducted a set of leave-one- feature-out experiments ... See full document
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An Evaluation Framework for Natural Language Understanding in Spoken Dialogue Systems
... based spoken dialogue systems to compare the robustness of natural language understanding (NLU) approaches across varying levels of word error rate and contrasting ...to dialogue ... See full document
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Context Management with Topics for Spoken Dialogue Systems
... Context Management with Topics for Spoken Dialogue Systems Context Management with Topics for Spoken Dialogue Systems K r i s t i i n a J o k i n e n a n d H i d e k i T a n a k a a n d A k i o Y o k[.] ... See full document
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Context Management with Topics for Spoken Dialogue Systems
... The model combines both top-down and bottom-up approaches to topic modelling: the topic tree, which structures domain knowledge, provides expectations of likely topic shifts, whereas the[r] ... See full document
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