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   Articles with "response generation" as a keyword



A Knowledge Driven Dialogue Model With Reinforcement Learning

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2993924

Abstract: In recent decades, many researchers pay a lot of attention on generating informative responses in end-to-end neural dialogue systems. In order to output the responses with knowledge and fact, many works leverage external knowledge to… read more here.

Keywords: reinforcement learning; response generation; model; knowledge driven ... See more keywords

AgriResponse: A Real-Time Agricultural Query-Response Generation System for Assisting Nationwide Farmers

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2023.3339253

Abstract: Advancements in information sciences can play a vital role in strengthening the nation’s sustainable agriculture goals. In this direction, we propose a framework for a text-based query-response generation system to cope with the demand for… read more here.

Keywords: response generation; response; query response; generation system ... See more keywords

A Dialogue Response Generation Model With Latent Variable Modeling and LWE Attention Based on the VW-BLEU Evaluation Metric

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3549152

Abstract: In this page, We propose a novel dialogue response generation model that combines BART-large models with latent variable modeling and the Latent Weight Enhanced (LWE) Attention mechanism to improve the performance of dialogue response generation.… read more here.

Keywords: response generation; model; dialogue; dialogue response ... See more keywords

Response Generation in Social Network With Topic and Emotion Constraints

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recommendations! Published in 2024 at "IEEE Transactions on Computational Social Systems"

DOI: 10.1109/tcss.2024.3397802

Abstract: Response generation is the task of automatically generating human-like content based on the provided context. One of its prominent applications is to simulate realistic response content for social network posts. In the digital age, social… read more here.

Keywords: response generation; topic; response; social network ... See more keywords

Novel Second-Order Transfer Section for Frequency-Selective Response Generation in Comb Filters

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3548818

Abstract: This article introduces a novel unified second-order filtering topology for standard band-reject (sBR) and inverting band-reject filter, enabling selective response generation. It is applied in the design of special comb filters that allow attenuation as… read more here.

Keywords: comb filters; comb; response generation; topology ... See more keywords

An effective context‐focused hierarchical mechanism for task‐oriented dialogue response generation

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recommendations! Published in 2022 at "Computational Intelligence"

DOI: 10.1111/coin.12544

Abstract: Task‐oriented dialogue system (TOD) is one kind of application of artificial intelligence (AI). The response generation module is a key component of TOD for replying to user's questions and concerns in sequential natural words. In… read more here.

Keywords: oriented dialogue; task oriented; response generation; mechanism ... See more keywords

EmoKbGAN: Emotion controlled response generation using Generative Adversarial Network for knowledge grounded conversation

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recommendations! Published in 2023 at "PLOS ONE"

DOI: 10.1371/journal.pone.0280458

Abstract: Neural open-domain dialogue systems often fail to engage humans in long-term interactions on popular topics such as sports, politics, fashion, and entertainment. However, to have more socially engaging conversations, we need to formulate strategies that… read more here.

Keywords: grounded conversation; adversarial network; emotion; generative adversarial ... See more keywords

GERP: A Personality-Based Emotional Response Generation Model

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recommendations! Published in 2023 at "Applied Sciences"

DOI: 10.3390/app13085109

Abstract: It is important for chatbots to emotionally communicate with users. However, most emotional response generation models generate responses simply based on a specified emotion, neglecting the impacts of speaker’s personality on emotional expression. In this… read more here.

Keywords: personality; response generation; emotional response; model ... See more keywords