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Found 8 papers, 1 papers with code
Transformer-based Live Update Generation for Soccer Matches from Microblog Posts
It has been known to be difficult to generate adequate sports updates from a sequence of vast amounts of diverse live tweets, although the live sports viewing experience with tweets is gaining the popularity.
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction
The semantic frame induction tasks are defined as a clustering of words into the frames that they evoke, and a clustering of their arguments according to the frame element roles that they should fill.
Semantic Frame Induction with Deep Metric Learning
Recent studies have demonstrated the usefulness of contextualized word embeddings in unsupervised semantic frame induction.
Transformer-based Lexically Constrained Headline Generation
We also consider a new headline generation strategy that takes advantage of the controllable generation order of Transformer.
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering
Recent studies on semantic frame induction show that relatively high performance has been achieved by using clustering-based methods with contextualized word embeddings.
Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction
Furthermore, we examine the extent to which the contextualized representation of a verb can estimate the number of frames that the verb can evoke.
Sequential Span Classification with Neural Semi-Markov CRFs for Biomedical Abstracts
Dividing biomedical abstracts into several segments with rhetorical roles is essential for supporting researchers{'} information access in the biomedical domain.
Incorporating Textual Information on User Behavior for Personality Prediction
Our experiments on the personality prediction of Twitter users show that the textual information of user behaviors is more useful than the co-occurrence information of the user behaviors.
