Chatbot is a software providing a conversational interface. One of the applications for Chatbots in conversational search providing access to an information source, such as a database.
Source: Open Data Chatbot
One of the keys to enable chatbots to communicate with human in a more natural way is the ability to handle long and complex user's utterances.
One of the major drawbacks of modularized task-completion dialogue systems is that each module is trained individually, which presents several challenges.
Finally, I conduct a detailed analysis of how the vanilla model performs on conversational data by comparing it to previous chatbot models and how the additional features affect the quality of the generated responses.
Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.
Recent neural models of dialogue generation offer great promise for generating responses for conversational agents, but tend to be shortsighted, predicting utterances one at a time while ignoring their influence on future outcomes.
In this paper, we introduce the use of Semantic Hashing as embedding for the task of Intent Classification and achieve state-of-the-art performance on three frequently used benchmarks.
In this paper, we propose a SpaceFusion model to jointly optimize diversity and relevance that essentially fuses the latent space of a sequence-to-sequence model and that of an autoencoder model by leveraging novel regularization terms.
Ranked #1 on Dialogue Generation on Reddit (multi-ref)
Experimental results show that the multilingual trained models outperform the translation-pipeline and that they are on par with the monolingual models, with the advantage of having a single model across multiple languages.
In this paper, we propose Answer-Clue-Style-aware Question Generation (ACS-QG), which aims at automatically generating high-quality and diverse question-answer pairs from unlabeled text corpus at scale by imitating the way a human asks questions.