[PDF] Top 20 Neural Response Generation with Meta words
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Neural Response Generation with Meta words
... of meta-word expression, we mea- sure accuracy for categorical variables and square deviation for real-valued ...of meta-word ex- pression are calculated on the 10k test data based on top 1 responses from ... See full document
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Top Down Structurally Constrained Neural Response Generation with Lexicalized Probabilistic Context Free Grammar
... different generation orders and ...and words of heirs are not repeated in the ...word generation over the left-to-right ...word generation orders has higher perplexity scores than simple model ... See full document
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Augmenting Neural Response Generation with Context-Aware Topical Attention
... Neural generative models have been improved through several techniques. (Serban et al., 2016) built upon the Seq2Seq work by introducing a Hi- erarchical Recurrent Encoder-Decoder neural net- work (HRED) ... See full document
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Steering Output Style and Topic in Neural Response Generation
... The words of input sentences were first con- verted to 300-dimensional vector representations learned from the RNN based language modeling tool word2vec (Mikolov et ...GPU, generation is very ... See full document
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Group Linguistic Bias Aware Neural Response Generation
... swear words for most queries as male, and tends to generate “Uh Hmm” for most queries as ...sponse generation without dynamic ...one response need such ex- ternal bias to demonstrate the group ... See full document
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Neural Response Generation via GAN with an Approximate Embedding Layer
... in Neural Machine Translation (NMT), Ritter et ...to words, coarse tokens and ...context-aware response generation model that goes beyond single-turn ... See full document
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A Neural Network Approach to Context Sensitive Generation of Conversational Responses
... Recurrent Neural Network Language Model (RLM) of (Mikolov et ...contentful words. Indeed, even “stop words” can carry discriminative power in this task; for exam- ple, all words in the ... See full document
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A Neural Network Approach for Knowledge Driven Response Generation
... on neural networks approaches shows their great potential at tackling a wide variety of Natural Language Processing (NLP) tasks (Bengio et ...automatic response generation domain are based on ... See full document
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Hierarchy Response Learning for Neural Conversation Generation
... conscious expression. Xu et al. (2017) ascribed this to the fundamental nature of statistical models since the distribution of most pieces of informa- tion are relatively sparser when compared to the safe response ... See full document
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Learning to Control the Specificity in Neural Response Generation
... utterance- response pairs, thus tend to favor gen- eral and trivial responses which appear ...controlled response generation mechanism to handle different utterance-response relationships in ... See full document
10
Retrieval Enhanced Adversarial Training for Neural Response Generation
... Generation-based methods can be cast as a se- quence to sequence (Seq2Seq) process (Shang et al., 2015; Vinyals and Le, 2015; Sordoni et al., 2015) but suffers from generating generic re- sponses. One way to ... See full document
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Toward an ARABIC Stop Words List Generation
... general words of the language that usually do not contribute to the semantics of the documents and have no read added ...such words should contribute to the improvement of classifier ... See full document
6
Effect of the Neuron Coding by Gaussian Receptive Fields on Enhancing the Performance of Spiking Neural Network for an Automatic Lipreading System
... In this section, we experiment our SNN which performs the spoken isolated words recognition based on visual data with six geometrical distances of mouth, by tracking their evolutions in each sequence. For ... See full document
8
Temporal control of neural crest lineage generation by Wnt/β catenin signaling
... the neural crest population of Wnt1-Cre and Sox10-Cre animals allowed us to address a potential stage-dependent role of canonical Wnt signaling during neural crest ...2. Neural crest cells can be ... See full document
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Hello, It’s GPT 2 How Can I Help You? Towards the Use of Pretrained Language Models for Task Oriented Dialogue Systems
... Data scarcity is a long-standing and crucial challenge that hinders quick development of task-oriented dialogue systems across multiple domains: task-oriented dialogue models are expected to learn grammar, syntax, ... See full document
8
Bag of Words as Target for Neural Machine Translation
... The studies of encoder-decoder framework (Kalchbrenner and Blunsom, 2013; Cho et al., 2014; Sutskever et al., 2014) for this task launched the Neural Machine Translation. To improve the focus on the information in ... See full document
7
Generation of Image by Sentence Based on Impression Words in Image
... Abstract: The use of social network services (SNS) have become widespread in recent years, and it is used to express the situation of individual users by using short sentences and images. Especially, young people prefer ... See full document
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Decomposable Neural Paraphrase Generation
... First, we evaluate our model quantitatively in terms of automatic metrics such as BLEU (Pap- ineni et al., 2002), ROUGE (Lin, 2004), which have been widely used in previous works on para- phrase generation. In ... See full document
12
A Neural Approach to Pun Generation
... 5 words or more than 50 ...pun words tend to occur near the end of a ...ring words and other words are replaced with the “<unk>” ... See full document
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Hierarchical Neural Story Generation
... story generation are prone to de- generating into language models that pay little at- tention to the writing prompt (a problem that has been noted in other domains, such as dialogue re- sponse generation ... See full document
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