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Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction ...
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Extend, donÕt rebuild: Phrasing conditional graph modification as autoregressive sequence labelling ...
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Treasures Outside Contexts: Improving Event Detection via Global Statistics ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.206/ Abstract: Event detection (ED) aims at identifying event instances of specified types in given texts, which has been formalized as a sequence labeling task. As far as we know, existing neural-based ED models make decisions relying on the contextual semantic features of each word in the input text, which we find is easy to get confused by varied contexts in the test stage. To this end, we come up with the idea of introducing a set of statistical features from word-event co-occurrence frequencies in the entire training set to cooperate with the contextual features. Specifically, we propose a Semantic and Statistic-Joint Discriminative Network (SS-JDN) consisting of a semantic feature extractor, a statistical feature extractor, and a joint event discriminator. In experiments, SS-JDN effectively exceeds ten recent state-ofthe-art (SOTA) baseline methods on ACE2005 and KBP2015 benchmark datasets. Further, we perform extensive experiments to ...
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Keyword:
Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://underline.io/lecture/37476-treasures-outside-contexts-improving-event-detection-via-global-statistics https://dx.doi.org/10.48448/jttq-mq83
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24 |
Cost-effective End-to-end Information Extraction for Semi-structured Document Images ...
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Monitoring geometrical properties of word embeddings for detecting the emergence of new topics. ...
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Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data ...
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27 |
Robust Retrieval Augmented Generation for Zero-shot Slot Filling ...
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28 |
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation ...
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30 |
Document-level Entity-based Extraction as Template Generation ...
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31 |
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network ...
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32 |
Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction ...
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33 |
Data Augmentation for Cross-Domain Named Entity Recognition ...
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34 |
Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction ...
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Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection ...
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38 |
Incorporating medical knowledge in BERT for clinical relation extraction ...
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39 |
Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments ...
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ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning ...
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