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Supervised Open Information Extraction

Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)  
We present data and methods that enable a supervised learning approach to Open Information Extraction (Open IE).  ...  Our supervised model, made publicly available, 1 outperforms the state-of-the-art in Open IE on benchmark datasets.  ...  Introduction Open Information Extraction (Open IE) systems extract tuples of natural language expressions that represent the basic propositions asserted by a sentence (see Figure 1 ).  ... 
doi:10.18653/v1/n18-1081 dblp:conf/naacl/StanovskyMZD18 fatcat:xkd3xmci3rfc5nvvvznozb7jfm

Supervising Unsupervised Open Information Extraction Models

Arpita Roy, Youngja Park, Taesung Lee, Shimei Pan
2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)  
We propose a novel supervised open information extraction (Open IE) framework that leverages an ensemble of unsupervised Open IE systems and a small amount of labeled data to improve system performance  ...  Comparing with existing supervised Open IE systems, our approach leverages the knowledge in existing unsupervised Open IE systems to overcome the problem of insufficient training data.  ...  This dataset is the largest dataset available for supervised open information extraction.  ... 
doi:10.18653/v1/d19-1067 dblp:conf/emnlp/RoyPLP19 fatcat:4ziwkrxwyfaelh75u447ymy2qy

LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction

Jacob Solawetz, Stefan Larson
2021 Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume   unpublished
Open Information Extraction (OIE) systems seek to compress the factual propositions of a sentence into a series of n-ary tuples.  ...  Introduction Open Information Extraction (OIE) (Banko et al., 2007) aims to automatically extract all factual propositions of a sentence into a series of n-ary tuples.  ...  understanding tasks (Mausam, 2016 Open Information Extraction relations may be explicitly stated by verbal predicates, or implicitly stated through nominalizations.  ... 
doi:10.18653/v1/2021.eacl-main.222 fatcat:7jucj53muvciddyyekvvgh6eym

Outclassing Wikipedia in Open-Domain Information Extraction: Weakly-Supervised Acquisition of Attributes over Conceptual Hierarchies

Marius Pas¸ca
unpublished
A set of labeled classes of instances is extracted from text and linked into an existing conceptual hierarchy.  ...  the class labels assigned to individual instances, the resulting resource of labeled classes is more effective than similar data derived from the manually-created Wikipedia, in the task of attribute extraction  ...  in particular and information extraction in general.  ... 
fatcat:o6d2yyeklvfbtal7ghaglqfuva

Cross-Lingual Annotation Projection for Weakly-Supervised Relation Extraction

Seokhwan Kim, Minwoo Jeong, Jonghoon Lee, Gary Geunbae Lee
2014 ACM Transactions on Asian Language Information Processing  
Open information extraction (IE) is a weakly supervised IE paradigm that aims to extract relation-independent information from large-scale natural language documents without significant annotation efforts  ...  A key challenge for Open IE is to achieve self-supervision, in which the training examples are automatically obtained.  ...  Acknowledgments This research was supported by the MKE(The Ministry of Knowledge Economy), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National  ... 
doi:10.1145/2529994 fatcat:fvzlijru3fgnxi2od5gpmrph2m

Semantic Relation Extraction. Resources, Tools and Strategies [chapter]

Marcos Garcia
2016 Lecture Notes in Computer Science  
an open information extraction tool.  ...  Relation extraction is a subtask of information extraction that aims at obtaining instances of semantic relations present in texts.  ...  the combination of coreference resolution with open information extraction.  ... 
doi:10.1007/978-3-319-41552-9_15 fatcat:e7npp3gyvje3nd2fzwmeb36yuq

An overview of event extraction and its applications [article]

Jiangwei Liu, Liangyu Min, Xiaohong Huang
2021 arXiv   pre-print
As a particular form of Information Extraction (IE), Event Extraction (EE) has gained increasing popularity due to its ability to automatically extract events from human language.  ...  This study provides a comprehensive overview of the state-of-the-art event extraction methods and their applications from text, including closed-domain and open-domain event extraction.  ...  Most open-domain event extraction works focus on detecting new events and extracting related information.  ... 
arXiv:2111.03212v1 fatcat:o3oagnjrybh3vapvvp7twgjtuu

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information [article]

Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha Talukdar
2019 arXiv   pre-print
In this paper, we propose RESIDE, a distantly-supervised neural relation extraction method which utilizes additional side information from KBs for improved relation extraction.  ...  Distantly-supervised Relation Extraction (RE) methods train an extractor by automatically aligning relation instances in a Knowledge Base (KB) with unstructured text.  ...  In RESIDE, we employ Open IE methods and additional supervision from KB for improving neural relation extraction.  ... 
arXiv:1812.04361v2 fatcat:xorwrvmu4jhmjn67dyedohfhxe

Syntactic and Semantic-driven Learning for Open Information Extraction [article]

Jialong Tang, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Xinyan Xiao, Hua Wu
2021 arXiv   pre-print
, higher-level supervisions.  ...  Experimental results show that our approach significantly outperforms the supervised counterparts, and can even achieve competitive performance to supervised state-of-the-art (SoA) model  ...  Introduction Open information extraction (Open IE) aims to extract open-domain textual tuples consisting of a predicate and a set of arguments from massive and heterogeneous corpora (Sekine, 2006; Banko  ... 
arXiv:2103.03448v1 fatcat:uvc4yxxrobf67hxycoxsqbdpmq

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha Talukdar
2018 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing  
In this paper, we propose RESIDE, a distantly-supervised neural relation extraction method which utilizes additional side information from KBs for improved relation extraction.  ...  Distantly-supervised Relation Extraction (RE) methods train an extractor by automatically aligning relation instances in a Knowledge Base (KB) with unstructured text.  ...  In RESIDE, we employ Open IE methods and additional supervision from KB for improving neural relation extraction.  ... 
doi:10.18653/v1/d18-1157 dblp:conf/emnlp/VashishthJPBT18 fatcat:5fzlhteldzbedpoblowakpw2vy

An Open Relation Extraction System for Web Text Information

Huagang Li, Bo Liu
2022 Applied Sciences  
We propose an open-domain relation extraction system (ORES) based on distant supervision and few-shot learning to solve this problem.  ...  Web texts typically undergo the open-ended growth of new relations. Traditional relation extraction methods lack automatic annotation and perform poorly on new relation extraction tasks.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Data are available upon request by contacting the corresponding author.  ... 
doi:10.3390/app12115718 fatcat:iptylp6xsfhihl7yvepobtcntm

Building Structured Databases of Factual Knowledge from Massive Text Corpora

Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han
2017 Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17  
State-of-the-art information extraction systems have strong reliance on large amounts of task/corpus-specific labeled data (usually created by domain experts).  ...  We focus on methods that are minimally-supervised, domainindependent, and language-independent for timely StructDB construction across various application domains (news, social media, biomedical, business  ...  Supervised methods with web tables C. Supervised methods with annotated corpus ii. Open information extraction (IE) approaches A. Open IE using linguistic structures B.  ... 
doi:10.1145/3035918.3054781 dblp:conf/sigmod/RenJSH17 fatcat:3mrzx3e3yzapnknx5ciwcwm4i4

Combining Open IE and Distant Supervision for KBP Slot Filling

Stephen Soderland, Natalie Hawkins, John Gilmer, Daniel S. Weld
2015 Text Analysis Conference  
We analyze the reasons for low precision with distant supervision.  ...  OPENIE-KBP gives high precision at moderate recall -we analyze the limitations of recall to an extractor based on Open IE.  ...  An advantage of Open IE over previous information extraction systems is that it works out of the box, requiring no training or tuning for a new domain.  ... 
dblp:conf/tac/SoderlandHGW15 fatcat:2xktdpuorffs5axwouxy7z4guq

Improved Method for Relation Adaptation to Extract the New Relations Efficiently from Relational Mapping

Miss Pragati Sapate, Dr. Sanjay T. Singh
2014 IOSR Journal of Computer Engineering  
The method we propose for relation extraction for adapting new relation with supervised relation extraction system.  ...  The main task of information retrieval is to extract or organize the information items as well as representation and access storage of items.  ...  Banko et al. presented the new approach called Open Information Extraction (Open IE) is a domain-independent information extraction paradigm.  ... 
doi:10.9790/0661-16392229 fatcat:3nv72pgpk5hw3eu77aaxha43nm

Review of Relation Extraction Methods: What Is New Out There? [chapter]

Natalia Konstantinova
2014 Communications in Computer and Information Science  
Relation extraction is a part of Information Extraction and an established task in Natural Language Processing.  ...  It reviews various techniques used for relation extraction including knowledge-based, supervised and self-supervised methods.  ...  Open Information Extraction Etzioni et al (2008) introduced the notion of Open Information Extraction, which is opposed to Traditional Relation Extraction.  ... 
doi:10.1007/978-3-319-12580-0_2 fatcat:tvfnnqqy35fcrfxrikmtc2ko6m
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