Manaris Simanjuntak | Dian Nuswantoro University (original) (raw)
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Hong Kong University of Science and Technology
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Papers by Manaris Simanjuntak
ArXiv, 2020
Many neural network models nowadays have achieved promising performances in Chit-chat settings. T... more Many neural network models nowadays have achieved promising performances in Chit-chat settings. The majority of them rely on an encoder for understanding the post and a decoder for generating the response. Without given assigned semantics, the models lack the fine-grained control over responses as the semantic mapping between posts and responses is hidden on the fly within the end-to-end manners. Some previous works utilize sampled latent words as a controllable semantic form to drive the generated response around the work, but few works attempt to use more complex semantic forms to guide the generation. In this paper, we propose to use more detailed semantic forms, including latent responses and part-of-speech sequences sampled from the corresponding distributions, as the controllable semantics to guide the generation. Our experimental results show that the richer semantics are not only able to provide informative and diverse responses, but also increase the overall performance of ...
2020 International Seminar on Application for Technology of Information and Communication (iSemantic), 2020
In every domestic life always has its own problems, and every household must have their own confl... more In every domestic life always has its own problems, and every household must have their own conflict. Problems and conflicts that come in the life of the household can actually be part of the process to mature each other's partners, but sometimes the problems and conflicts that trigger divorce. Dataset from the UCI Repository, an evaluation and improvement process was carried out on the Backpropagation Neural Netwok(BPNN) algorithm and also performed a set of parameters are set and then validated, able to predict whether a married couple will divorce or not with sufficient results. high. And also do a process for some feature selection, then the value or rating of the most significant features will be processed on the Backpropagation Neural Network Algorithm and compare the results of the Gain Ratio, Information Gain, Relief and Correlation feature selection. This model underwent several validation processes so as to achieve a fairly high accuracy by using the Relief feature sel...
ArXiv, 2020
Many neural network models nowadays have achieved promising performances in Chit-chat settings. T... more Many neural network models nowadays have achieved promising performances in Chit-chat settings. The majority of them rely on an encoder for understanding the post and a decoder for generating the response. Without given assigned semantics, the models lack the fine-grained control over responses as the semantic mapping between posts and responses is hidden on the fly within the end-to-end manners. Some previous works utilize sampled latent words as a controllable semantic form to drive the generated response around the work, but few works attempt to use more complex semantic forms to guide the generation. In this paper, we propose to use more detailed semantic forms, including latent responses and part-of-speech sequences sampled from the corresponding distributions, as the controllable semantics to guide the generation. Our experimental results show that the richer semantics are not only able to provide informative and diverse responses, but also increase the overall performance of ...
2020 International Seminar on Application for Technology of Information and Communication (iSemantic), 2020
In every domestic life always has its own problems, and every household must have their own confl... more In every domestic life always has its own problems, and every household must have their own conflict. Problems and conflicts that come in the life of the household can actually be part of the process to mature each other's partners, but sometimes the problems and conflicts that trigger divorce. Dataset from the UCI Repository, an evaluation and improvement process was carried out on the Backpropagation Neural Netwok(BPNN) algorithm and also performed a set of parameters are set and then validated, able to predict whether a married couple will divorce or not with sufficient results. high. And also do a process for some feature selection, then the value or rating of the most significant features will be processed on the Backpropagation Neural Network Algorithm and compare the results of the Gain Ratio, Information Gain, Relief and Correlation feature selection. This model underwent several validation processes so as to achieve a fairly high accuracy by using the Relief feature sel...