Hownet And The Computation Of Meaning

By Zhendong Dong, Q. Dong, Changling Hao. 2006

385 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Radical-Based Hierarchical Embeddings for Chinese Sentiment Analysis at Sentence Level (2017, methodology): “Like we did before, we collect all the sentiment words from two different popular Chinese sentiment lexicons, Hownet (Dong and Dong 2006) and NTUSD (Ku, Liang, and Chen 2006) and break them into radicals.”
A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving (2020, methodology): “We used Cilin (Mei, 1985) and Hownet (Dong et al., 2006) as our External Knowledge Source.”
K-BERT: Enabling Language Representation with Knowledge Graph (2019, methodology): “As knowledge reﬁned into a structured form, KGs over many ﬁelds have been constructed, e.g., SNOMED-CT (Bodenreider 2008) in medical ﬁeld, HowNet (Dong, Dong, and Hao 2006) in Chinese conception.”
A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement (2022, methodology): “To reduce invalid substitutions of TextFooler, we rank the original candidate set generated based on HowNet [ Dong and Dong, 2006 ] via similarities of word embeddings and keep the top 5 candidates for each replaceable position.”