Papers by Changrong Min

3 papers
Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction (2023.acl-long)

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Challenge: sarcasm is a form of irony conveying mockery and contempt . social media has become increasingly popular for identifying sarcasm .
Approach: They develop a method to detect sarcasm from social media using augmented potentials.
Outcome: The proposed method outperforms baselines on benchmark datasets.
Locality Preserving Sentence Encoding (2021.findings-emnlp)

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Challenge: Existing word embeddings can be used to learn sentence embedds on the sentence level.
Approach: They propose a sentence embedding method that uses the inner product to compute semantic similarity between sentences.
Outcome: The proposed method encodes sentences better in the sense of semantic structures.
Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks (2023.acl-long)

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Challenge: Existing datasets suffer from a lack of fine-grained annotations, such as the toxic type and expressions with indirect toxicity.
Approach: They propose a benchmark model to detect toxic language by incorporating lexical features into a Chinese dataset to facilitate fine-grained annotations.
Outcome: The proposed model is based on insulting vocabulary containing implicit profanity and is able to detect toxic language with lexical features.

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