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Found 4 papers, 2 papers with code
TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction
However, these methods are not able to fully leverage the trigger information and even bring noise to relation extraction.
FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning
Existing neighborhood aggregation strategies fail to capture either the short-term features or the long-term features of temporal graph attributes, leading to unsatisfactory model performance and even poor robustness and domain generality of the representation learning method.
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering
Despite the promising result of recent KAQA systems which tend to integrate linguistic knowledge from pre-trained language models (PLM) and factual knowledge from knowledge graphs (KG) to answer complex questions, a bottleneck exists in effectively fusing the representations from PLMs and KGs because of (i) the semantic and distributional gaps between them, and (ii) the difficulties in joint reasoning over the provided knowledge from both modalities.
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding
Multi-intent detection and slot filling joint models are gaining increasing traction since they are closer to complicated real-world scenarios.
Ranked #1 on
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on MixATIS
