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Entity extraction and disambiguation in finance
2014
Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14
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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]
2014
Lecture Notes in Computer Science
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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
2015
Workshop on Making Sense of Microposts
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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
2014
Proceedings of the Third Workshop on Semantic Web and Information Extraction
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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]
2016
Lecture Notes in Computer Science
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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
2020
Algorithms
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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
2018
The Web Conference
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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]
2021
arXiv
pre-print
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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]
2012
Multi-source, Multilingual Information Extraction and Summarization
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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]
2011
Lecture Notes in Computer Science
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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
2013
Artificial Intelligence
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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
2012
Multimedia tools and applications
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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]
2019
Lecture Notes in Computer Science
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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
2018
International Journal of Big Data Intelligence
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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
2012
2012 IEEE Sixth International Conference on Semantic Computing
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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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