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Private deep reinforcement learning from human preferences
this paper explains how to use human preferences to generate rewards for a reinforcement learning algorithm. -
Private summarizing from human feedback
this paper explains a method for generating machine translations from human feedback. -
Private Survey about Chatbots
This paper presents a survey about chatbots and conversational agents. -
Private Neural Conversational Information Retrieval
This paper is a survey about the different applications in which neural conversational information retrieval can be used. -
Private Retrieval-augmented language generation
This paper describes an algorithm to generate answers based on paragraphs potentially containing the answer. -
Private Reinforcement Learning
This paper explains the main concepts and algorithms of reinforcement learning. -
Private Custom Entity Extraction Dataset
This dataset is supposed to be used with the Spacy library to develop an entity extraction model. The supported entites are topic, author, date, qualifier and resource type. -
Private Offensive language dataset
This dataset consists of input texts and their labels in terms of being offensive, hateful or neither. It can be used for developing a model for detecting offensive language. -
Private Intent Classification Dataset
This is a dataset of possible inputs and their intents. It has been developed for the purposes of developing a conversational agent for the VREs. The supported intents are... -
Private D4Science User Guide QA Dataset
This is a dataset of QA pairs extracted from the paragraphs in the gcube user guide. It can be used to train a model for answer generation given a question and the paragraph...
