Papers by Quangang Li

3 papers
Event Causality Extraction with Event Argument Correlations (2022.coling-1)

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Challenge: Event Causality Identification (ECI) ignores crucial event structure and cause-effect component information, making it struggle for downstream applications.
Approach: They propose a task to extract event causality pairs with their structured event information from plain text.
Outcome: The proposed method captures the intra- and inter-event argument correlations for ECE and provides several future directions.
FITAnnotator: A Flexible and Intelligent Text Annotation System (2021.naacl-demos)

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Challenge: In this paper, we introduce FITAnnotator, a generic web-based tool for efficient text annotation.
Approach: They propose a generic web-based tool for efficient text annotation.
Outcome: The proposed tool is based on a fully modular architecture and provides three kinds of interfaces to annotate instances, evaluate annotation quality and manage the annotation task for annotators, reviewers and managers.
Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence (2022.emnlp-main)

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Challenge: Existing joint models only use training procedure to determine the implicit correlation between intents and slots.
Approach: They propose to make full use of the statistical co-occurrence frequency between intents and slots as prior knowledge to enhance joint multiple intent detection and slot filling.
Outcome: The proposed model outperforms state-of-the-art models on two public multi-intent datasets.

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