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An optimization framework for entity recognition and disambiguation

Chuan Wu, Wei Lu, Pengcheng Zhou
2014 Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14  
We present a system for entity recognition and disambiguation (ERD) in short text, aiming at identifying all text fragments referring to an entity contained in Freebase.  ...  Our system integrates three kinds of features: mention-entity similarity, entityentity similarity and context-mention entity similarity.  ...  CONCLUSIONS AND FUTURE WORK In this paper, we propose an optimization framework that links mentions found in short text to its corresponding entity in Wikipedia and Freebase.  ... 
doi:10.1145/2633211.2634362 dblp:conf/sigir/WuLZ14 fatcat:wa5ec2qc5bgfxnkerezymxoura

Entity Linking and Knowledge Discovery in Microblogs

Pikakshi Manchanda
2015 International Semantic Web Conference  
them for existing entities.  ...  Social media platforms have become significantly popular and are widely used for various customer services and communication.  ...  In this research work, we propose an end-to-end entity linking pipeline where we study entity recognition and disambiguation as a joint problem for microposts.  ... 
dblp:conf/semweb/Manchanda15 fatcat:3m6a5ic7kbgjvl2rkj2mupfyuq

An easy-to-use evaluation framework for benchmarking entity recognition and disambiguation systems

Hui Chen, Bao-gang Wei, Yi-ming Li, Yong-huai Liu, Wen-hao Zhu
2017 Frontiers of Information Technology & Electronic Engineering  
Entity recognition and disambiguation (ERD) is a crucial technique for knowledge base population and information extraction.  ...  This paper presents an easy-to-use evaluation framework (EUEF), which aims at facilitating the evaluation process, and giving a fair comparison of ERD systems.  ...  Then it uses machine learning algorithms for mention recognition and disambiguation. Its mention recognition component is based on its disambiguation component.  ... 
doi:10.1631/fitee.1500473 fatcat:z3suf7lk5jc67c7cnhehe2xlgu

Adapting AIDA for Tweets

Mohamed Amir Yosef, Johannes Hoffart, Yusra Ibrahim, Artem Boldyrev, Gerhard Weikum
2014 Workshop on Making Sense of Microposts  
We adapt it for microposts, specifically tweets, with special focus on the named entity recognition and the entity candidate lookup.  ...  AIDA collectively exploits the prominence of entities, contextual similarities, and coherence to effectively disambiguate entity mentions.  ...  The MSM challenge adresses a fundamental task for knowledge harvesting, namely Named Entity Recognition and Disambiguation (NERD).  ... 
dblp:conf/msm/YosefHIBW14 fatcat:rhcpi7ggpzg7tom7qlx5b5cu3m

A Topic-Sensitive Model for Salient Entity Linking

Lei Zhang, Cong Liu, Achim Rettinger
2015 International Semantic Web Conference  
Such entities can be used to bridge textual data with knowledge bases and thus help with many tasks, such as text understanding, word sense disambiguation and information retrieval.  ...  In addition, for many entity-centric applications, entity salience for a document has become a very important factor.  ...  The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 611346.  ... 
dblp:conf/semweb/ZhangLR15 fatcat:rgps2xjtf5bgdikffzssdt5xve

Place Disambiguation with Co-occurrence Models

Simon E. Overell, João Magalhães, Stefan M. Rüger
2006 Conference and Labs of the Evaluation Forum  
We detail our methods for generating and applying co-occurrence models for the purpose of place name disambiguation, our use of named entity recognition tools and text indexing applications.  ...  We explain in detail our use of co-occurrence models for place name disambiguation using a model generated from Wikipedia.  ...  ESpotter utilises an Access database for Named Entity Recognition; we would like to see if it is possible to optimise this database for use with the GeoCLEF corpus and general place name recognition.  ... 
dblp:conf/clef/OverellMR06a fatcat:y4sickkjv5czrnf3y4qcumeafi

Scenario-Driven Selection and Exploitation of Semantic Data for Optimal Named Entity Disambiguation

Panos Alexopoulos, Carlos Ruiz, José Manuél Gómez-Pérez
2012 International Conference Knowledge Engineering and Knowledge Management  
The novelty of our approach lies in the definition of a structured semi-automatic process that enables the custom selection and use of the semantic data that is optimal for the disambiguation scenario  ...  The rapidly increasing use of large-scale data on the Web has made named entity disambiguation a key research challenge in Information Extraction (IE) and development of the Semantic Web.  ...  Acknowledgements This work was supported by the Spanish project CENIT-2009-1026 BuscaMedia and by the European Commission under contract FP7-248984 GLOCAL.  ... 
dblp:conf/ekaw/AlexopoulosRG12 fatcat:ig5eiaa7srhjhh6uvrb3o3umfu

QAestro – Semantic-Based Composition of Question Answering Pipelines [chapter]

Kuldeep Singh, Ioanna Lytra, Maria-Esther Vidal, Dharmen Punjani, Harsh Thakkar, Christoph Lange, Sören Auer
2017 Lecture Notes in Computer Science  
The demand for interfaces that allow users to interact with computers in an intuitive, effective, and efficient way is increasing.  ...  Thus, in this work, we introduce QAestro, a framework for semantically describing both QA components and developer requirements for QA component composition.  ...  Parts of this work received funding from the EU Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No. 642795 (WDAqua).  ... 
doi:10.1007/978-3-319-64468-4_2 fatcat:irmql5jrzbbdfof7jsmgirgs4e

E2E: An End-to-End Entity Linking System for Short and Noisy Text

Ming-Wei Chang, Bo-June Paul Hsu, Hao Ma, Ricky Loynd, Kuansan Wang
2014 Workshop on Making Sense of Microposts  
By jointly optimizing entity recognition and disambiguation as a single task, our system can process short and noisy text robustly.  ...  We present E2E, an end-to-end entity linking system that is designed for short and noisy text found in microblogs and text messages.  ...  Joint Recognition and Disambiguation. This stage is the key component of the E2E framework.  ... 
dblp:conf/msm/ChangHMLW14 fatcat:vmi5wqooqnf2lcfkiyqkk3pi5e

Short Text Entity Disambiguation Algorithm Based on Multi-Word Vector Ensemble

Qin Zhang, Xuyu Xiang, Jiaohua Qin, Yun Tan, Qiang Liu, Neal N. Xiong
2021 Intelligent Automation and Soft Computing  
This paper proposed an entity disambiguation algorithm based on multiword vector ensemble and decision to eliminate the ambiguity of entities and purify text information in information processing.  ...  This method can accurately locate the entity to be disambiguated and has a good performance in disambiguation accuracy.  ...  weight of the optimal entity recognition model to train the disambiguation model, and finally get the disambiguation result.  ... 
doi:10.32604/iasc.2021.017648 fatcat:7w5za5fgijcv5livjzpmc4dhha

Named Entity Disambiguation for German News Articles

Andreas Lommatzsch, Danuta Ploch, Ernesto William De Luca, Sahin Albayrak
2010 Lernen, Wissen, Daten, Analysen  
Based on a German and an English document corpus, we evaluate various similarity measures and algorithms for extracting data for named entity disambiguation.  ...  Named entity disambiguation has become an important research area providing the basis for improving search engine precision and for enabling semantic search.  ...  The process of named entity recognition and disambiguation usually consists of three steps: 1. Identify words (or groups of words) representing an entity in a given text 2.  ... 
dblp:conf/lwa/LommatzschPLA10 fatcat:5er76fburva5jbhjv5smdwyasm

D3.1 TV programme annotation model

Raphael Troncy, Ismail Harrando, Benoit Huet, Jean Carrive, Steffen Lalande, Michael Stormbom, Tiina Lindh-Knuutila, Lauri Saarikoski, Kim Viljanen
2019 Zenodo  
This deliverable describes also a number of tools that perform named entity recognition and disambiguation on both automatic transcription and true subtitles of TV programs.  ...  A scientific publication is already appended to this report which describes a novel ensemble methods to extract and disambiguate entities from different kinds of text including timed text (subtitles of  ...  the European Union's Horizon 2020 research and innovation programme via the project MeMAD (GA 780069).  ... 
doi:10.5281/zenodo.4796668 fatcat:4yfr45rvojfzrha2lcgkmkpxtu

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  ...  Such mentions are often ambiguous, with no obvious way for a machine to map them to real world entities, due to reasons like homonymy and polysemy.  ...  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

AGDISTIS - Graph-Based Disambiguation of Named Entities Using Linked Data [chapter]

Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo, Michael Röder, Daniel Gerber, Sandro Athaide Coelho, Sören Auer, Andreas Both
2014 Lecture Notes in Computer Science  
Overall, our contributions can be summed up as follows: (1) We present AGDISTIS, an accurate and scalable framework for disambiguating named entities that is agnostic to the underlying knowledge base (  ...  We evaluate our approach on eight different datasets against state-of-theart named entity disambiguation frameworks.  ...  A high-quality DBpedia-based named entity disambiguation (NED) approach would use these already recognized named entities and map the strings approach (integrated into the Named Entity Recognition framework  ... 
doi:10.1007/978-3-319-11964-9_29 fatcat:g2vmrmskhze57kmm4eyzpwwa5i

Chinese Personal Name Disambiguation Based on Clustering

Chao Fan, Yu Li, Shan Zhong
2021 Wireless Communications and Mobile Computing  
And then, Chinese word segmentation, part-of-speech tagging, and named entity recognition are accomplished by lexical analysis.  ...  Furthermore, we make an effort to extract features that can better disambiguate Chinese personal names.  ...  Li and Wang [10] developed a multistage clustering algorithm based on the entity knowledge, which can be used for Chinese named entity recognition and disambiguation. Ke et al.  ... 
doi:10.1155/2021/3790176 fatcat:do4uzskhsff4hhxpoe7eiw65um
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