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Evaluation Metrics For Dialog Systems
Evaluation is a crucial part of the dialog system development process. Human judgment is considered a gold standard for the evaluation of…
Key Dialog Datasets: Overview and Critique
To build a state-of-the-art dialog system, you need challenging tasks for model training and evaluation. There are numerous dialog datasets that assist…
Task-Oriented Dialog Agents: Recent Advances and Challenges
Hotel bookings, weather queries, restaurant reservations – chatbots and virtual assistants seem to be the perfect solution for these kinds of routine…
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The Latest Breakthroughs in Conversational AI Agents
2020 is the breakthrough year for conversational agents. First, Google’s chatbot Meena and Facebook’s chatbot Blender demonstrated that dialog agents can achieve…
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State-of-the-art Approaches to Building Open-Domain Conversational Agents
We’ve carefully curated and summarized the most interesting research papers introducing meaningful, engaging, and persona-consistent chatbots.
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Key Research Advances in Building Task-Oriented Dialog Agents
We’ve summarized the recently introduced research papers that propose the most effective solutions for building state-of-the-art task-oriented dialog systems.
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Novel Datasets For Open-Domain & Task-Oriented Dialogs
We summarize the research papers that introduce novel datasets for training and evaluating open-domain and task-oriented dialog systems.
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New Ways to Evaluate Open-Domain Conversational Agents
We summarize some of the most promising recently introduced approaches to the automated evaluation of open-domain conversational agents.
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The Relationship Between Perplexity And Entropy In NLP
Perplexity is a common metric to use when evaluating language models. For example, scikit-learn’s implementation of Latent Dirichlet Allocation (a topic-modeling algorithm) includes perplexity…
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ECCV 2020: Some Highlights
The 2020 European Conference on Computer Vision took place online, from 23 to 28 August, and consisted of 1360 papers, divided into…