Sökning: "Natural Dialogue Generation"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Natural Dialogue Generation.

1. 1. Contextual short-term memory for LLM-based chatbot

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mikael Lauri Aleksi Törnwall; [2023]
   Nyckelord :Chatbot; Artificial Intelligence; Machine Learning; Language Model; Large Language Model; GPT-3; Natural Language Processing; Text Summarization; Dialogue Summarization; Prompt Design; Prompt Programming; Chatbot; Artificiell Intelligens; Maskininlärning; Språkmodell; Stor Språkmodell; GPT-3; Naturlig Ppråkbehandling; Textsammanfattning; Sammanfattning av Dialog; Design för Inmatningsprompt; Inmatningsprompt Programmering;

   Sammanfattning : The evolution of Language Models (LMs) has enabled building chatbot systems that are capable of human-like dialogues without the need for fine-tuning the chatbot for a specific task. LMs are stateless, which means that a LM-based chatbot does not have a recollection of the past conversation unless it is explicitly included in the input prompt. LÄS MER

3. 2. Can Wizards be Polyglots: Towards a Multilingual Knowledge-grounded Dialogue System

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Evelyn Kai Yan Liu; [2022]
   Nyckelord :Knowledge-grounded dialogue; Dialogue systems; Generative question answering; Multilingual question answering; Multilingual dialogue systems; Transfer learning; Multi-task learning; Sequential training; Conversational AI; Natural Language Processing NLP ; Deep learning; Machine learning;

   Sammanfattning : The research of open-domain, knowledge-grounded dialogue systems has been advancing rapidly due to the paradigm shift introduced by large language models (LLMs). While the strides have improved the performance of the dialogue systems, the scope is mostly monolingual and English-centric. LÄS MER

4. 3. Smart Compose for Live Chat Agent

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Tonghua Zhang; [2021]
   Nyckelord :Deep learning; Natural language processing; Transformer; Text generation; Auto- completion; Djupinlärning; Naturlig språkbehandling; Transformator; Textgenerering; Automatisk komplettering;

   Sammanfattning : In the digital business environment, customer service communication has grown up to become a labor- intensive task. In consideration of high labor costs, automatic customer service could be such a good alternative for many companies. However, communication with customers can not be easily automated. LÄS MER

5. 4. Improving Dialogue Context and Repeatability in Human-Robot Interaction

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Andrej Wilczek; [2021]
   Nyckelord :Natural Language Processing; Natural Language Generation; Human-Robot Interaction; Context-based; Telepresence; Naturlig språkbehandling; Generering av naturligt språk; Människa-Robot- Interaktion; Kontextbaserad; Telepresence;

   Sammanfattning : Natural Language Generation and generating believable verbal communication are critical components in the development of social robots. The work presented in this paper is based on the sequence-to-sequence model and is focused on improving context and repeatability through the inclusion of task- specific information. LÄS MER

7. 5. Crowdsourcing av data för Hybrid Code Networks

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Christoffer Linné; Pontus Olausson; [2020]
   Nyckelord :Crowdsourcing; Hybrid Code Networks; Natural Dialogue Generation; Task-Oriented Dialogue Systems;

   Sammanfattning : Task-oriented dialogue systems are a popular way for organisations to generate extra value both internally and for customers. Modern approaches for these dialogue systems that use neural networks to enable training directly on written dialogues are very data hungry, which complicates their implementation. LÄS MER