[PDF] Top 20 A Persona Based Neural Conversation Model
Has 10000 "A Persona Based Neural Conversation Model" found on our website. Below are the top 20 most common "A Persona Based Neural Conversation Model".
A Persona Based Neural Conversation Model
... Since our purpose is to measure the gain in con- sistency over the baseline system, we presented the pairs of answers system-pairwise, i.e., 4 responses, 2 from each system, displayed on the screen, and asked judges to ... See full document
10
Neural Responding Machine for Short Text Conversation
... From Table 2, we can see the SMT method per- forms significantly worse than the retrieval-based and NRM models and 74.4% of the generated re- sponses were labeled as unsuitable mainly due to fluency and relevance ... See full document
10
Deep Learning Approach for Text Generation Using RNN Encoder-Decoder for Q&A
... of neural network based on encoder and decoder for machine translation and new type of cell called Gated Recurrent Unit ...The neural network proposed in article encodes source language sentence in ... See full document
6
Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts
... a neural keyphrase extraction framework that exploits conversation context, which is represented by neural encoders for capturing salient content to help in indicating keyphrases in target ...posts. ... See full document
11
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
... method based on recur- rent neural networks that keeps track of the individual party states throughout the conversation and uses this information for emotion ...Our model outperforms the ... See full document
8
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
... in conversation (ERC) has received much attention, lately, from re- searchers due to its potential widespread ap- plications in diverse areas, such as health-care, education, and human ...graph neural net- ... See full document
11
Dually Interactive Matching Network for Personalized Response Selection in Retrieval Based Chatbots
... a persona-based neural conver- sation model to capture individual characteristic- s such as background information and speaking ...the persona to be combined with the dialogue ... See full document
10
EmotionX JTML: Detecting emotions with Attention
... several neural architectures based on Attention Models, which allow extracting relevant parts of the context within a conversation to iden- tify the emotion associated with each ut- ...attention ... See full document
5
Hierarchy Response Learning for Neural Conversation Generation
... the topic compared to HAE models and kgCVAE. ECM obtains higher act accuracy score than HAE as well since the second KL term of Eq.(12) forces the predicted act distribution to approximate the ground-truth. ECM without ... See full document
10
Neural Conversation Recommendation with Online Interaction Modeling
... users based on their prior conversation behav- iors. Built on neural collaborative filtering, our model explores deep semantic features that measure how a user’s preferences match an ongoing ... See full document
11
Exemplar Encoder Decoder for Neural Conversation Generation
... Retrieval based models on the other hand treat the conversation context as a query and obtain a set of responses using information retrieval (IR) techniques from the conversation logs (Ji et ...ing ... See full document
10
An Adversarial Learning Framework For A Persona Based Multi Turn Dialogue Model
... dialogue model with Responder-only ...above persona-based models have limited dialogue history (single turn); suffer from exposure bias worsening the trade-off between personalization and ... See full document
10
Neural Conversation Model Controllable by Given Dialogue Act Based on Adversarial Learning and Label aware Objective
... proposed model achieved the best controllabil- ity score in both automatic and human subjective evaluations even if it achieves better or compara- ble naturalness to existing methods (Section ... See full document
10
Variational Hierarchical User based Conversation Model
... Dialogue response generation has been exten- sively studied (Ratnaparkhi, 2002; Ritter et al., 2011), and recently, neural network models, es- pecially sequence-to-sequence models have been widely used (Sordoni et ... See full document
10
“My Way of Telling a Story”: Persona based Grounded Story Generation
... ries based on a sequence of images. Inspired by the recent works in neural generation focus- ing on controlling the form of text, this paper explores the idea of generating these stories in different ... See full document
11
Diversifying Neural Conversation Model with Maximal Marginal Relevance
... As is well known, the generation-based conver- sation systems suffer from the problem of univer- sally replies, which contain less information, such as “I don’t know” and “something” (Mou et al., 2016; Mrkˇsi´c et ... See full document
6
Weather forecasting based on hybrid neural model
... In fact, there are no standard criteria to calculate a number of neurons in hidden layer, it is calculated based on trial and error based experiments. However, for the number of neurons in input and output ... See full document
6
Deep Temporal Recurrent Replicated Softmax for Topical Trends over Time
... a neural temporal topic model which we name as RNN-RSM, based on prob- abilistic undirected graphical topic model RSM with time-feedback connections via determinis- tic RNN, to capture ... See full document
11
A Neural Reordering Model for Phrase based Translation
... the neural reordering ...our model with those trained using word2vec (Mikolov et ...the neural reordering model trained in this way drops significantly, which confirms our ... See full document
11
Human-level Moving Object Recognition from Traffic Video
... Deep neural network is a multiple neural network learning model based on deep learning, which learns some more useful features by constructing a machine learning model with many hidden ... See full document
14
Related subjects