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Entity extraction and disambiguation in finance

James A. Hodson, James Y. Zhang
2014 Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14  
The task of disambiguation in the financial and business domain is nuanced, covering a variety of pseudo-textual sources from news headlines to company earnings calls, automated telephone announcements  ...  The process of disambiguation is often considered as a canonical problem of resolving entity-mentions into a complete-by-design Knowledge Base (KB).  ...  Currently, state-of-the-art disambiguation systems may range from hundreds of milliseconds per entity, to many seconds.  ... 
doi:10.1145/2633211.2633212 dblp:conf/sigir/HodsonZ14 fatcat:aw73c2o6xzc47ljcczhtdoqt2u

Uncertainty Handling in Named Entity Extraction and Disambiguation for Informal Text [chapter]

Maurice van Keulen, Mena B. Habib
2014 Lecture Notes in Computer Science  
We present a method of handling the uncertainty involved in extraction to improve the disambiguation results.  ...  Named Entity Extraction (NEE) is a sub task of IE that aims to locate phrases (mentions) in the text that represent names of entities such as persons, organizations or locations regardless of their type  ...  Use the toponym entity candidates for the disambiguation process. 6. Evaluate the extraction and disambiguation results for the training data.  ... 
doi:10.1007/978-3-319-13413-0_16 fatcat:y4ptlh5nsrcqpdd3zb73u3tpye

UNIBA: Exploiting a Distributional Semantic Model for Disambiguating and Linking Entities in Tweets

Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro, Fedelucio Narducci
2015 Workshop on Making Sense of Microposts  
The algorithm performs poorly in the entity recognition, while it achieves good results in the disambiguation step.  ...  We propose a knowledge-based algorithm able to recognize and link named entities in English tweets.  ...  The computational work has been executed on the IT resources made available by two PON projects financed by the MIUR: ReCaS (PONa3 00052) and PRISMA (PON04a2 A).  ... 
dblp:conf/msm/BasileCSN15 fatcat:bkklag5zb5axnnk742yfxoblnu

Information Extraction for Social Media

Mena Badieh Habib Morgan, Maurice van Keulen
2014 Proceedings of the Third Workshop on Semantic Web and Information Extraction  
The key components and aspects of our proposed framework are noisy text filtering, named entity extraction, named entity disambiguation, feedback loops, and uncertainty handling.  ...  In this position paper, we propose a framework for Information Extraction (IE) from unstructured user generated contents on social media.  ...  • Fact Extraction: In open IE, the goal of the fact extraction (FE) module is to detect and characterize the semantic relations between entities in text or relations between entities and values.  ... 
doi:10.3115/v1/w14-6202 dblp:conf/acl-swaie/MorganK14 fatcat:rma3h7h6hfdfbhaaeq2yetezb4

Entity Linking with Distributional Semantics [chapter]

Pablo Gamallo, Marcos Garcia
2016 Lecture Notes in Computer Science  
Entity Linking (EL) consists in linking name mentions in a given text with their referring entities in external knowledge bases such as DBpedia/Wikipedia.  ...  Our EL method is focused on a specific task, namely semantic annotation of documents by extracting those relevant terms that are linked to nodes in DBpedia/Wikipedia.  ...  Weighting Candidates and Entity Disambiguation In this task, we select the best entity candidate of each term by making use of a disambiguation strategy.  ... 
doi:10.1007/978-3-319-41552-9_18 fatcat:3lxoythervfffku23rj5hytp3m

Text Semantic Annotation: A Distributed Methodology Based on Community Coherence

Christos Makris, Georgios Pispirigos, Michael Angelos Simos
2020 Algorithms  
Our experimental evaluation revealed that deeper inference of relatedness and local entity community coherence in the Wikipedia graph bears substantial improvements overall via a focus on accuracy amelioration  ...  Focusing on linguistics, by aiming to identify groups of densely interconnected subgroups of semantic ontologies, community detection application has proven beneficial in terms of disambiguation improvement  ...  Funding: Christos Makris has been co-financed by the European Union and the Greek national funds through the Regional Operational Program "Western Greece 2014-2020", under the Call "Regional Research and  ... 
doi:10.3390/a13070160 fatcat:znccdtd5wreprdhjlus7tyso3m

GEEK: Incremental Graph-based Entity Disambiguation

Alexios Mandalios, Konstantinos Tzamaloukas, Alexandros Chortaras, Giorgos Stamou
2018 The Web Conference  
The process of recognizing such mentions in unstructured texts and disambiguating them by mapping them to entities stored in a knowledge base is known as Named Entity Recognition and Disambiguation (NERD  ...  In this paper, we introduce GEEK (Graphical Entity Extraction Kit), a NERD system that extracts named entities in text and links them to a knowledge base using a graph-based method, taking into account  ...  by the Operational Programme "Competitiveness, Entrepreneurship and Innovation" (NSRF 2014-2020) and co-financed by Greece and the European Union (European Regional Development Fund).  ... 
dblp:conf/www/MandaliosTCS18 fatcat:pr6o52xrcnctxn3qi6qa2hl7dq

Reddit Entity Linking Dataset [article]

Nicholas Botzer, Yifan Ding, Tim Weninger
2021 arXiv   pre-print
We introduce and make publicly available an entity linking dataset from Reddit that contains17,316 linked entities, each annotated by three human annotators and then grouped into Gold, Silver, and Bronze  ...  Finally, we tested existing entity linking models that are trained and tuned on text from non-social media datasets.  ...  This work is funded by the US Army Research Office (W911NF-17-1-0448) and the US Defense Advanced Research Projects Agency (DARPA W911NF-17-C-0094).  ... 
arXiv:2101.01228v1 fatcat:hsjfxdl6m5g2fdoalg2ihn5hay

Entity Linking: Finding Extracted Entities in a Knowledge Base [chapter]

Delip Rao, Paul McNamee, Mark Dredze
2012 Multi-source, Multilingual Information Extraction and Summarization  
In the menagerie of tasks for information extraction, entity linking is a new beast that has drawn a lot of attention from NLP practitioners and researchers recently.  ...  We discuss the key challenges present in this task and we present a high-performing system that links entities using max-margin ranking.  ...  Prior Art Information extraction is concerned with both identifying structured information in text and disambiguating extracted information and entities.  ... 
doi:10.1007/978-3-642-28569-1_5 dblp:series/tanlp/RaoMD13 fatcat:oikzjli47nhkhnx6isstud4ejm

Detecting Economic Events Using a Semantics-Based Pipeline [chapter]

Alexander Hogenboom, Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Otto van der Meer, Kim Schouten
2011 Lecture Notes in Computer Science  
In our pipeline implementation, we have reused some of the components of an existing framework and developed new ones, such as an Ontology Gazetteer and a Word Sense Disambiguator.  ...  Therefore, it is important to be able to automatically identify events in news items accurately and in a timely manner.  ...  Acknowledgment The authors are partially sponsored by the NWO Physical Sciences Free Competition project 612.001.009: Financial Events Recognition in News for Algorithmic Trading (FERNAT).  ... 
doi:10.1007/978-3-642-23088-2_32 fatcat:zftmt3f3mjfwdjbunfoeq76wxm

Evaluating Entity Linking with Wikipedia

Ben Hachey, Will Radford, Joel Nothman, Matthew Honnibal, James R. Curran
2013 Artificial Intelligence  
Such systems typically search for candidate entities and then disambiguate them, returning either the best candidate or nil.  ...  Named Entity Linking (nel) grounds entity mentions to their corresponding node in a Knowledge Base (kb).  ...  In the finance domain, nel can be used to link textual information about companies to financial data, for example, news and share prices [34] . nel can also be used in search, where results for named  ... 
doi:10.1016/j.artint.2012.04.005 fatcat:n7yrkdxdnzat7pk3m2qx4khn7y

Semantics-based information extraction for detecting economic events

Alexander Hogenboom, Frederik Hogenboom, Flavius Frasincar, Kim Schouten, Otto van der Meer
2012 Multimedia tools and applications  
Unstructured news items originating from many heterogeneous sources have to be mined in order to extract knowledge useful for guiding decision making processes.  ...  In our implementation, we use some components of an existing framework as well as new components, e.g., a high-performance Ontology Gazetteer, a Word Group Look-Up component, a Word Sense Disambiguator  ...  Acknowledgements The authors are partially sponsored by the NWO Physical Sciences Free Competition project 612.001.009: Financial Events Recognition in News for Algorithmic Trading (FERNAT) and the Dutch  ... 
doi:10.1007/s11042-012-1122-0 fatcat:iyzf7o2a4jctngausjmfbze4sq

VLX-Stories: Building an Online Event Knowledge Base with Emerging Entity Detection [chapter]

Dèlia Fernàndez-Cañellas, Joan Espadaler, David Rodriguez, Blai Garolera, Gemma Canet, Aleix Colom, Joan Marco Rimmek, Xavier Giro-i-Nieto, Elisenda Bou, Juan Carlos Riveiro
2019 Lecture Notes in Computer Science  
The system retrieves information from news sites, aggregates them into events (event detection), and summarizes them by extracting semantic labels of its most relevant entities (event representation) in  ...  The system is currently deployed in production and used by media producers in the editorial process, providing real-time access to breaking news.  ...  This module uses VKG for the entity disambiguation, which will also be populated with EE found in the process.  ... 
doi:10.1007/978-3-030-30796-7_24 fatcat:ugmc2kek4zfmrio4zgtnmbgf4a

Ontology-based faceted semantic search with automatic sense disambiguation for bioenergy domain

Pathmeswaran Raju, Lynsey Melville, Craig Chapman, Feroz Farazi
2018 International Journal of Big Data Intelligence  
To overcome this issue, this paper proposes a sense disambiguation methodology that uses bioenergy domain related ontologies (extracted from WordNet automatically), WordNet concept hierarchy and term sense  ...  The main hurdle to achieving the expected result was sense disambiguation further complicated by the occasional fine-grained distinction of meanings of the terms in WordNet.  ...  To cope with this situation and give better experience to users, we have developed a sense disambiguation tool that uses WordNet semantic relations, domain ontologies (such as plant, chemistry and finance  ... 
doi:10.1504/ijbdi.2018.10008142 fatcat:rgil4yo5uzdq7gonqgyrueoclu

A Context Expansion Method for Supervised Word Sense Disambiguation

Francisco Tacoa, Danushka Bollegala, Mitsuru Ishizuka
2012 2012 IEEE Sixth International Conference on Semantic Computing  
Our results suggest that the method performs disambiguation with high precision.  ...  In this work, we present a WSD method to overcome this problem by using an automatically-created thesaurus to append related words to a specific context, in order to improve the effectiveness of candidate  ...  both land and finance in the CDL vocabulary.  ... 
doi:10.1109/icsc.2012.27 dblp:conf/semco/TacoaBI12 fatcat:li744g6k35dvbjqvvqmssk2utu
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