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Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
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HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ...
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Extracting Event Temporal Relations via Hyperbolic Geometry ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.636/ Abstract: Detecting events and their evolution through time is a crucial task in natural language understanding. Recent neural approaches to event temporal relation extraction typically map events to embeddings in the Euclidean space and train a classifier to detect temporal relations between event pairs. However, embeddings in the Euclidean space cannot capture richer asymmetric relations such as event temporal relations. We thus propose to embed events into hyperbolic spaces, which are intrinsically oriented at modeling hierarchical structures. We introduce two approaches to encode events and their temporal relations in hyperbolic spaces. One approach leverages hyperbolic embeddings to directly infer event relations through simple geometrical operations. In the second one, we devise an end-to-end architecture composed of hyperbolic neural units tailored for the temporal relation extraction task. Thorough experimental assessments on widely ...
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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://dx.doi.org/10.48448/z705-je03 https://underline.io/lecture/37328-extracting-event-temporal-relations-via-hyperbolic-geometry
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Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ...
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Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ...
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An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing ...
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Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification ...
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ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision ...
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Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context ...
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Entity Relation Extraction as Dependency Parsing in Visually Rich Documents ...
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MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations ...
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SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents ...
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Few-Shot Named Entity Recognition: An Empirical Baseline Study ...
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Low-resource Taxonomy Enrichment with Pretrained Language Models ...
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