Results 21 to 30 of about 561,016 (281)
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion
Quotations are crucial for successful explanations and persuasions in interpersonal communications. However, finding what to quote in a conversation is challenging for humans. This work studies automatic quotation recommendation for online conversations.
Lingzhi Wang +2 more
semanticscholar +1 more source
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach [PDF]
Zero-shot text classification (0Shot-TC) is a challenging NLU problem to which little attention has been paid by the research community. 0Shot-TC aims to associate an appropriate label with a piece of text, irrespective of the text domain and the aspect (
Wenpeng Yin, Jamaal Hay, Dan Roth
semanticscholar +1 more source
TopiOCQA: Open-domain Conversational Question Answering with Topic Switching [PDF]
In a conversational question answering scenario, a questioner seeks to extract information about a topic through a series of interdependent questions and answers.
Vaibhav Adlakha +4 more
semanticscholar +1 more source
Recent Advances in Traffic Sign Recognition: Approaches and Datasets
Autonomous vehicles have become a topic of interest in recent times due to the rapid advancement of automobile and computer vision technology. The ability of autonomous vehicles to drive safely and efficiently relies heavily on their ability to ...
Xin Roy Lim +5 more
semanticscholar +1 more source
Retrieval Topic Recurrent Memory Network for Remote Sensing Image Captioning
Remote sensing image (RSI) captioning aims to generate sentences to describe the content of RSIs. Generally, five sentences are used to describe the RSI in caption datasets.
Binqiang Wang +3 more
doaj +1 more source
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey [PDF]
Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data and text documents.
Hamed Jelodar +3 more
semanticscholar +1 more source
Towards Topic-Guided Conversational Recommender System [PDF]
Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations. To develop an effective CRS, the support of high-quality datasets is essential.
Kun Zhou +4 more
semanticscholar +1 more source
In the age of social networks, the number of tweets sent by users has led to a sharp rise in public opinion. Public opinions are closely related to user stances. User stance detection has become an important task in the field of public opinion.
Peng Jia +5 more
doaj +1 more source
Zero-Shot Stance Detection: A Dataset and Model Using Generalized Topic Representations [PDF]
Stance detection is an important component of understanding hidden influences in everyday life. Since there are thousands of potential topics to take a stance on, most with little to no training data, we focus on zero-shot stance detection: classifying ...
Emily Allaway, K. McKeown
semanticscholar +1 more source
Twitter Topic Classification [PDF]
Social media platforms host discussions about a wide variety of topics that arise everyday. Making sense of all the content and organising it into categories is an arduous task.
Dimosthenis Antypas +5 more
semanticscholar +1 more source

