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Found 4 papers, 1 papers with code
Effect Generation Based on Causal Reasoning
Given an input cause sentence, a causal subgraph is retrieved from the event causality network and is encoded with the graph attention mechanism, in order to support better reasoning of the potential effects.
Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification
This paper proposes a novel prompt-based finetuning method (called DLM-SCS) for few-shot text classification by utilizing the discriminative language model ELECTRA that is pretrained to distinguish whether a token is original or generated.
A Mixture-of-Experts Model for Antonym-Synonym Discrimination
Discrimination between antonyms and synonyms is an important and challenging NLP task.
Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment
Recognizing textual entailment is a fundamental task in a variety of text mining or natural language processing applications.
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