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Corpus-level Fine-grained Entity Typing [article]

Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schütze
2018 arXiv   pre-print
This paper addresses the problem of corpus-level entity typing, i.e., inferring from a large corpus that an entity is a member of a class such as "food" or "artist".  ...  We show the effectiveness of our models in a large entity typing dataset, built from Freebase.  ...  Figure 1 : An example for corpus-level fine-grained entity typing.  ... 
arXiv:1708.02275v2 fatcat:2yzzf76n4va4plsa4tfbwhymqy

Corpus-Level Fine-Grained Entity Typing

Yadollah Yaghoobzadeh, Heike Adel, Hinrich Schuetze
2018 The Journal of Artificial Intelligence Research  
This paper addresses the problem of corpus-level entity typing, i.e., inferring from a large corpus that an entity is a member of a class, such as "food" or "artist".  ...  We show the effectiveness of our models on a large entity typing dataset built from Freebase.  ...  Figure 1 : An example for corpus-level fine-grained entity typing.  ... 
doi:10.1613/jair.5601 fatcat:ktuwhpaysjajdfhim6yothitbu

Corpus-level Fine-grained Entity Typing Using Contextual Information [article]

Yadollah Yaghoobzadeh, Hinrich Schütze
2016 arXiv   pre-print
This paper addresses the problem of corpus-level entity typing, i.e., inferring from a large corpus that an entity is a member of a class such as "food" or "artist".  ...  The application of entity typing we are interested in is knowledge base completion, specifically, to learn which classes an entity is a member of. We propose FIGMENT to tackle this problem.  ...  In this problem setting, we address the task of corpus-level fine-grained entity typing: we want to infer from the corpus for each pair of entity e and type t whether m(e, t) = 1 holds, i.e., whether entity  ... 
arXiv:1606.07901v1 fatcat:ho6dhllyyvg6ncjotk5xtgy4sq

Corpus-level Fine-grained Entity Typing Using Contextual Information

Yadollah Yaghoobzadeh, Hinrich Schütze
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
This paper addresses the problem of corpus-level entity typing, i.e., inferring from a large corpus that an entity is a member of a class such as "food" or "artist".  ...  The application of entity typing we are interested in is knowledge base completion, specifically, to learn which classes an entity is a member of. We propose FIGMENT to tackle this problem.  ...  In this problem setting, we address the task of corpus-level fine-grained entity typing: we want to infer from the corpus for each pair of entity e and type t whether m(e, t) = 1 holds, i.e., whether entity  ... 
doi:10.18653/v1/d15-1083 dblp:conf/emnlp/YaghoobzadehS15 fatcat:uxr6mr74urac5apwtoxx6dk6om

Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing [article]

Yadollah Yaghoobzadeh, Katharina Kann, Hinrich Schütze
2018 arXiv   pre-print
The task we use is fine-grained name typing: given a large corpus, find all types that a name can refer to based on the name embedding.  ...  Given the scale of entities in knowledge bases, we can build datasets for this task that are complementary to the current embedding evaluation datasets in: they are very large, contain fine-grained classes  ...  Corpus-level fine-grained entity typing is the task of predicting all types of entities based on their mentions in a corpus (Yaghoobzadeh and Schütze, 2015; Yaghoobzadeh and Schütze, 2017; Yaghoobzadeh  ... 
arXiv:1807.07186v1 fatcat:24mg7jlyyfailcs53vbhwvgig4

Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing

Yadollah Yaghoobzadeh, Katharina Kann, Hinrich Schütze
2018 Proceedings of The Third Workshop on Representation Learning for NLP  
The task we use is finegrained name typing: given a large corpus, find all types that a name can refer to based on the name embedding.  ...  Given the scale of entities in knowledge bases, we can build datasets for this task that are complementary to the current embedding evaluation datasets in: they are very large, contain fine-grained classes  ...  Corpus-level fine-grained entity typing is the task of predicting all types of entities based on their mentions in a corpus (Yaghoobzadeh and Schütze, 2015; Yaghoobzadeh and Schütze, 2017; Yaghoobzadeh  ... 
doi:10.18653/v1/w18-3013 dblp:conf/rep4nlp/YaghoobzadehKS18 fatcat:h3vo54nt5nalthii5fbjd7sp2m

A Chinese Corpus for Fine-grained Entity Typing [article]

Chin Lee, Hongliang Dai, Yangqiu Song, Xin Li
2020 arXiv   pre-print
In this paper, we introduce a corpus for Chinese fine-grained entity typing that contains 4,800 mentions manually labeled through crowdsourcing. Each mention is annotated with free-form entity types.  ...  We also show the possibility of improving Chinese fine-grained entity typing through cross-lingual transfer learning.  ...  Thus, in this paper, we present a Chinese corpus of extremely fine-grained entity typing containing over 7,100 unique entity types.  ... 
arXiv:2004.08825v1 fatcat:6i4dtckyenflzntuqh5c2yoney

Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature

Xuan Wang, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li, Jiawei Han
2020 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)  
CORD-NER covers 75 fine-grained entity types.  ...  The dictionaries of these fine-grained entity types are collected from existing knowledge bases and human-input seed sets.  ...  CORD-NER covers 75 fine-grained entity types.  ... 
doi:10.1109/bibm49941.2020.9313126 fatcat:gymh3avowbcq7cgt7ckk5a3ali

Fine-Grained Named Entity Recognition in Question Answering with DBpedia

Shimin Zhong, Yajun Du, Zhen Wei Gao
2018 Journal of Physics, Conference Series  
On the other hand coarse-grained named entities' types cannot offer enough information for question understanding.  ...  Finally, we use the kNN to classification and get fine-gained entity types combining with the entity mentions which can link with DBpedia.  ...  First exiting public available QA corpus almost don't have fine-grained entity annotation. Second, QA sentences is too short to use context information.  ... 
doi:10.1088/1742-6596/1087/3/032003 fatcat:hjozejnyprfyzisml42ahxvfva

Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage [article]

Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik, Ashish Anand, Amit Awekar
2019 arXiv   pre-print
Fine-grained Entity Recognition (FgER) is the task of detecting and classifying entity mentions to a large set of types spanning diverse domains such as biomedical, finance and sports.  ...  Using HAnDS framework, we create two datasets, one suitable for building FgER systems recognizing up to 118 entity types based on the FIGER type hierarchy and another for up to 1115 entity types based  ...  coarse-grained types to thousands of fine-grained types [Murty et al., 2018 , Choi et al., 2018 .  ... 
arXiv:1904.13178v1 fatcat:vehug6uoefcshen6iguqvqj6ju

Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities [article]

Yadollah Yaghoobzadeh, Hinrich Schütze
2017 arXiv   pre-print
entity typing by a large margin.  ...  We confirm experimentally that each level of representation contributes complementary information and a joint representation of all three levels improves the existing embedding based baseline for fine-grained  ...  Fine-grained entity typing. Our task is to infer fine-grained types of KB entities. KB completion is an application of this task.  ... 
arXiv:1701.02025v2 fatcat:favxcarn6nf2vhe53cqxx6pkyi

Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems

Lifu Huang, Jonathan May, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A. Hendler
2017 Big Data  
The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data.  ...  Most existing entity typing systems are limited to certain domains, genres, and languages.  ...  The types of all entity mentions are automatically discovered based on a set of clusters, which can capture fine-grained types customized for any input corpus.  ... 
doi:10.1089/big.2017.0012 pmid:28328252 pmcid:PMC5374868 fatcat:atpph3dkpzfm3phl6nk4ekfwsm

Annotating and detecting phenotypic information for chronic obstructive pulmonary disease

Meizhi Ju, Andrea Short, Paul Thompson, Nawar Diar Bakerly, Georgios Gkoutos, Loukia Tsaprouni, Sophia Ananiadou
2019 JAMIA Open  
network-based named entity recognizer to detect fine-grained COPD phenotypic information.  ...  The importance of our corpus for developing methods to extract fine-grained information about COPD phenotypes is demonstrated through its successful use to train a layered BiLSTM-CRF network to extract  ...  They also thank Piotr Przybyła for his help with the visualization of the annotations in the corpus.  ... 
doi:10.1093/jamiaopen/ooz009 pmid:31984360 pmcid:PMC6951876 fatcat:6wgkcujklrfqbfcs5imvxiop4q

Cascaded Models for Better Fine-Grained Named Entity Recognition [article]

Parul Awasthy and Taesun Moon and Jian Ni and Radu Florian
2020 arXiv   pre-print
Much of the NER research has been done on datasets with few classes of entity types (e.g.  ...  In this paper we present a cascaded approach to labeling fine-grained NER, applying to a newly released fine-grained NER dataset that was used in the TAC KBP 2019 evaluation (Ji et al., 2019), inspired  ...  by an instance-level fine-grained classification.  ... 
arXiv:2009.07317v1 fatcat:3ovn7ljl2jedjgo7e6jxx63r3m

HIPE - Shared Task Participation Guidelines

Ehrmann, Romanello, Clematide, Flückiger
2020 Zenodo  
HIPE (Identifying Historical People, Places and other Entities) is a named entity processing evaluation campaign on historical newspapers in French, German and English, organized in the context of the  ...  NE-FINE-METO: the fine-grained type (IOB-type.subtype.subtype) of the entity mention token, according to the metonymic sense. 6. NE-FINE-COMP: the component type of the entity mention token. 7.  ...  NE-FINE-LIT: the fine-grained type (IOB-type.subtype.subtype) of the entity mention token, according to the literal sense. 5.  ... 
doi:10.5281/zenodo.3604237 fatcat:cfnqjzjlkbcbrdq6eeuc2cbkx4
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