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Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

AAAI 2018 · Large language models › Language, safety and interpretability · approach: Faithfulness of LLM explanations · 762 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add emotion category embedding, internal memory, and external memorySeq2Seq · ESTC testemotion accuracy: 0.179 -> 0.773Helped
Add emotion category embedding, internal memory, and external memorySeq2Seq · ESTC testperplexity: 68.0 -> 65.9Helped
Add internal memory and external memory to emotion category embeddingEmb · ESTC testemotion accuracy: 0.724 -> 0.773Helped
Add internal memory and external memory to emotion category embeddingEmb · Manual evaluation, overallcontent score: 1.256 -> 1.299Helped
Add internal memory and external memory to emotion category embeddingEmb · Manual evaluation, overallemotion score: 0.363 -> 0.424Helped
Add emotion category embedding (ablation)ECM · ESTC testemotion accuracy: 0.753 -> 0.773Helped
Add emotion category embedding (ablation)ECM · ESTC testperplexity: 66.1 -> 65.9Helped
Add internal memory (ablation)ECM · ESTC testemotion accuracy: 0.749 -> 0.773Helped
Add internal memory (ablation)ECM · ESTC testperplexity: 66.7 -> 65.9Helped
Add external memory (ablation)ECM · ESTC testemotion accuracy: 0.731 -> 0.773Helped
Add external memory (ablation)ECM · ESTC testperplexity: 61.8 -> 65.9Hurt
Use ECM instead of EmbEmotional response generation · Angry responsesmanual content score: 1.035 -> 0.98Hurt

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