Conversations From Make-Believe: An Attentive Encoder–Decoder Chatbot Trained on Scripted Dialogue

Abstract excerpt

<title>Abstract</title> <p>This paper builds a fully neural, open-domain chatbot that learns to respond like a conversational partner rather than a search engine, using an encoder-decoder with bidirectional recurrent memory and a token-level attention mechanism to track context across turns. A large corpus of fictional, face-toface exchanges is cleaned into paired utterances, tokenized with subword units, and use...

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Identifiers and source

Literature Corpus work

c4d37372-1872-59bc-b0f8-4c2dd614e225

DOI

10.21203/rs.3.rs-8716036/v1