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Found 6 papers, 0 papers with code
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations
However, these models neglect direct utterance-knowledge interaction.
Ranked #14 on
Emotion Recognition in Conversation
on DailyDialog
Pre-training Language Models with Deterministic Factual Knowledge
Further experiments on question-answering datasets show that trying to learn a deterministic relationship with the proposed methods can also help other knowledge-intensive tasks.
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
We check the words that have three typical associations with the missing words: knowledge-dependent, positionally close, and highly co-occurred.
Integrating Regular Expressions with Neural Networks via DFA
Human-designed rules are widely used to build industry applications.
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
In this paper, we propose a new retrieval target, hop, to collect the hidden reasoning evidence from Wikipedia for complex question answering.
Ranked #6 on
Question Answering
on HotpotQA
Radical-Enhanced Chinese Character Embedding
We present a method to leverage radical for learning Chinese character embedding.
