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Found 7 papers, 2 papers with code
Faithful Low-Resource Data-to-Text Generation through Cycle Training
Cycle training uses two models which are inverses of each other: one that generates text from structured data, and one which generates the structured data from natural language text.
Multimodal Content Analysis for Effective Advertisements on YouTube
The objective of this work is then to measure the effectiveness of an advertisement, and to recommend a useful set of features to advertisement designers to make it more successful and approachable to users.
Towards Open Intent Discovery for Conversational Text
Existing research for intent discovery model it as a classification task with a predefined set of known categories.
Automatic Discovery of Novel Intents & Domains from Text Utterances
We propose a novel framework, ADVIN, to automatically discover novel domains and intents from large volumes of unlabeled data.
Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings
Conversational Task Assistants (CTAs) are conversational agents whose goal is to help humans perform real-world tasks.
Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation
E-commerce customers frequently seek detailed product information for purchase decisions, commonly contacting sellers directly with extended queries.
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces
Conversational Task Assistants (CTAs) guide users in performing a multitude of activities, such as making recipes.
