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Corpus-level Fine-grained Entity Typing
[article]
2018
arXiv
pre-print
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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
2018
The Journal of Artificial Intelligence Research
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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]
2016
arXiv
pre-print
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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
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
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The file type is application/pdf.
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]
2018
arXiv
pre-print
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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
2018
Proceedings of The Third Workshop on Representation Learning for NLP
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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]
2020
arXiv
pre-print
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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
2020
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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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
2018
Journal of Physics, Conference Series
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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]
2019
arXiv
pre-print
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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]
2017
arXiv
pre-print
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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
2017
Big Data
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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
2019
JAMIA Open
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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]
2020
arXiv
pre-print
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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
2020
Zenodo
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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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