Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Advances and challenges in conversational recommender systems: A survey
Recommender systems exploit interaction history to estimate user preference, having been
heavily used in a wide range of industry applications. However, static recommendation …
heavily used in a wide range of industry applications. However, static recommendation …
A survey of knowledge-enhanced text generation
The goal of text-to-text generation is to make machines express like a human in many
applications such as conversation, summarization, and translation. It is one of the most …
applications such as conversation, summarization, and translation. It is one of the most …
Machines augmenting entrepreneurs: Opportunities (and threats) at the Nexus of artificial intelligence and entrepreneurship
Artificial intelligence (AI) refers to machines that are trained to perform tasks associated with
human intelligence, interpret external data, learn from that external data, and use that …
human intelligence, interpret external data, learn from that external data, and use that …
Challenges in building intelligent open-domain dialog systems
There is a resurgent interest in develo** intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …
the availability of large amounts of conversational data and the recent progress on neural …
Knowledge-grounded dialogue generation with pre-trained language models
We study knowledge-grounded dialogue generation with pre-trained language models. To
leverage the redundant external knowledge under capacity constraint, we propose …
leverage the redundant external knowledge under capacity constraint, we propose …
Seamlessly unifying attributes and items: Conversational recommendation for cold-start users
Static recommendation methods like collaborative filtering suffer from the inherent limitation
of performing real-time personalization for cold-start users. Online recommendation, eg …
of performing real-time personalization for cold-start users. Online recommendation, eg …
Query resolution for conversational search with limited supervision
In this work we focus on multi-turn passage retrieval as a crucial component of
conversational search. One of the key challenges in multi-turn passage retrieval comes from …
conversational search. One of the key challenges in multi-turn passage retrieval comes from …
Conversational recommendation: Formulation, methods, and evaluation
Recommender systems have demonstrated great success in information seeking. However,
traditional recommender systems work in a static way, estimating user preferences on items …
traditional recommender systems work in a static way, estimating user preferences on items …
Bridging the gap between prior and posterior knowledge selection for knowledge-grounded dialogue generation
Abstract Knowledge selection plays an important role in knowledge-grounded dialogue,
which is a challenging task to generate more informative responses by leveraging external …
which is a challenging task to generate more informative responses by leveraging external …
Harnessing holistic discourse features and triadic interaction for sentiment quadruple extraction in dialogues
Dialogue Aspect-based Sentiment Quadruple (DiaASQ) is a newly-emergent task aiming to
extract the sentiment quadruple (ie, targets, aspects, opinions, and sentiments) from …
extract the sentiment quadruple (ie, targets, aspects, opinions, and sentiments) from …