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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 BASE Show 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 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.210/ Abstract: Auxiliary information from multiple sources has been demonstrated to be effective in zero-shot fine-grained entity typing (ZFET). However, there lacks a comprehensive understanding about how to make better use of the existing information sources and how they affect the performance of ZFET. In this paper, we empirically study three kinds of auxiliary information: {context consistency}, {type hierarchy} and {background knowledge} (e.g., prototypes and descriptions) of types, and propose a multi-source fusion model (MSF) targeting these sources. The performance obtains up to 11.42% and 22.84% absolute gains over state-of-the-art baselines on BBN and Wiki respectively with regard to macro F1 scores. More importantly, we further discuss the characteristics, merits and demerits of each information source and provide an intuitive understanding of the complementarity among them. ... Keyword: Computational Linguistics; Information Extraction; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/ym6r-8p79 https://underline.io/lecture/37562-an-empirical-study-on-multiple-information-sources-for-zero-shot-fine-grained-entity-typing BASE Hide 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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