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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 65 1 Automatic Error Type Annotation for Arabic ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Belkebir, Riadh; Habash, Nizar. - : Underline Science Inc., 2021 BASE Show details 2 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Han, Jiawei; Huang, Jiaxin. - : Underline Science Inc., 2021 BASE Show details 3 HittER: Hierarchical Transformers for Knowledge Graph Embeddings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Sanxing; Gao, Jianfeng. - : Underline Science Inc., 2021 BASE Show details 4 AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ding, Haoran; Luo, Xiao. - : Underline Science Inc., 2021 BASE Show details 5 Corpus-based Open-Domain Event Type Induction ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Shen, Jiaming. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.441/ Abstract: Traditional event extraction methods require predefined event types and their corresponding annotations to learn event extractors. These prerequisites are often hard to be satisfied in real-world applications. This work presents a corpus-based open-domain event type induction method that automatically discovers a set of event types from a given corpus. As events of the same type could be expressed in multiple ways, we propose to represent each event type as a cluster of pairs. Specifically, our method (1) selects salient predicates and object heads, (2) disambiguates predicate senses using only a verb sense dictionary, and (3) obtains event types by jointly embedding and clustering pairs in a latent spherical space. Our experiments, on three datasets from different domains, show our method can discover salient and high-quality event types, according to both ... Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/38009-corpus-based-open-domain-event-type-induction https://dx.doi.org/10.48448/zmp7-8083 BASE Hide details 6 Extracting Event Temporal Relations via Hyperbolic Geometry ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Tan, Xingwei. - : Underline Science Inc., 2021 BASE Show details 7 Partially Supervised Named Entity Recognition via the Expected Entity Ratio Loss ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Collins, Michael; Effland, Thomas. - : Underline Science Inc., 2021 BASE Show details 8 Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Jiawei. - : Underline Science Inc., 2021 BASE Show details 9 Corrected CBOW Performs as well as Skip-gram ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Karl; Benton, Adrian. - : Underline Science Inc., 2021 BASE Show details 10 An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Yi. - : Underline Science Inc., 2021 BASE Show details 11 Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Shi, Qi. - : Underline Science Inc., 2021 BASE Show details 12 ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Garg, Shweta; Han, Jiawei. - : Underline Science Inc., 2021 BASE Show details 13 Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Zhoujun; Li, Mu. - : Underline Science Inc., 2021 BASE Show details 14 TEET! Tunisian Dataset for Toxic Speech Detection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Heger; Gharbi, Slim. - : Underline Science Inc., 2021 BASE Show details 15 Entity Relation Extraction as Dependency Parsing in Visually Rich Documents ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Zhang, Yue. - : Underline Science Inc., 2021 BASE Show details 16 MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ma, Xinyin. - : Underline Science Inc., 2021 BASE Show details 17 Lifelong Event Detection with Knowledge Transfer ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ji, Heng; Natarajan, Premkumar. - : Underline Science Inc., 2021 BASE Show details 18 SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Matteo; Fariha, Anna. - : Underline Science Inc., 2021 BASE Show details 19 Few-Shot Named Entity Recognition: An Empirical Baseline Study ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Balakrishnan, Shobana; Chen, Weizhu. - : Underline Science Inc., 2021 BASE Show details 20 Low-resource Taxonomy Enrichment with Pretrained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Akimoto, Kosuke; Oyamada, Masafumi. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4

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