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The 2021 Conference on Empirical Methods in Natural Language Processing 2021 (65)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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