13 citations · 16 across the 5 of their papers we have counts for
5 papers · 1 filter
An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks
Changlong Yu, Tianyi Xiao, Lingpeng Kong +2
Though linguistic knowledge emerges during large-scale language model pretraining, recent work attempt to explicitly incorporate human-defined linguistic priors into task-specific…
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering
Jun Gao, Wei Wang, Changlong Yu +3
Representations of events described in text are important for various tasks. In this work, we present SWCC: a Simultaneous Weakly supervised Contrastive learning and Clustering fra…
When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models
Changlong Yu, Jialong Han, Peifeng Wang +4
We address hypernymy detection, i.e., whether an is-a relationship exists between words (x, y), with the help of large textual corpora. Most conventional approaches to this task ha…
Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations
Changlong Yu, Hongming Zhang, Yangqiu Song +2
Computational and cognitive studies suggest that the abstraction of eventualities (activities, states, and events) is crucial for humans to understand daily eventualities. In this…
Multiplex Word Embeddings for Selectional Preference Acquisition
Hongming Zhang, Jiaxin Bai, Yan Song +5
Conventional word embeddings represent words with fixed vectors, which are usually trained based on co-occurrence patterns among words. In doing so, however, the power of such repr…