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Experience Management for Very Small Entities: Improving the Copy-Paste Model

Vincent Ribaud, Philippe Saliou, Claude Y. Laporte
2010 2010 Fifth International Conference on Software Engineering Advances  
The emerging ISO/IEC 29110 standard Lifecycle profiles for Very Small Entities is developing a "Generic" profile group applicable to a vast majority of very small entities (enterprises, organizations,  ...  ; and 2) the requirement of Experience Management dedicated processes, taken from D.  ...  We propose to provide a VSE with a simple Experience Management system, compatible with the emerging ISO/IEC 29110 standard.  ... 
doi:10.1109/icsea.2010.54 dblp:conf/icsea/RibaudSL10 fatcat:ohlnpld7kjd47dsszw35hqrhnm

Ranking related entities

Marc Bron, Krisztian Balog, Maarten de Rijke
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
Our method achieves very high recall scores on the end-to-end task, providing a solid starting point for expanding our focus to improve precision; additional heuristics lead to state-of-the-art performance  ...  To correct for (2), we add contextual information, represented as language models derived from documents in which source and target entities co-occur.  ...  IMPROVED ESTIMATIONS We investigate how using a large corpus (CW-B, §4) for estimating our models can overcome the issue that for some entities their co-occurrences are limited to a small set of pages  ... 
doi:10.1145/1871437.1871574 dblp:conf/cikm/BronBR10 fatcat:3a3kgjmwezhxpksi7v5s2p4xl4

ParaNames: A Massively Multilingual Entity Name Corpus [article]

Jonne Sälevä, Constantine Lignos
2022 arXiv   pre-print
We demonstrate an application of ParaNames by training a multilingual model for canonical name translation to and from English.  ...  The included names span over 400 languages, and almost all entities are mapped to standardized entity types (PER/LOC/ORG).  ...  Model details and evaluation metrics For our Transformer model, we use the best hyperparameters from past transliteration experiments by Moran and Lignos (2020) , with minor changes.  ... 
arXiv:2202.14035v2 fatcat:a37rw7lcvrdorcshxl47c2vu5m

An adaptive annotation approach for biomedical entity and relation recognition

Seid Muhie Yimam, Chris Biemann, Ljiljana Majnaric, Šefket Šabanović, Andreas Holzinger
2016 Brain Informatics  
Here, during annotation, a machine learning model is built on previous annotations and used to propose labels for subsequent annotation.  ...  In the second experiment, clinical doctors have conducted a case study in annotating medical terms documents relevant for their research.  ...  Acknowledgments The development of WebAnno and the research on adaptive machine learning was supported by the German Federal Ministry of Education and Research (BMBF) as part of the CLARIN-D infrastructure  ... 
doi:10.1007/s40708-016-0036-4 pmid:27747591 pmcid:PMC4999566 fatcat:fl6greheunc5lga3kvof647li4

Resource management for model learning at entity level

Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, Myra Spiliopoulou
2020 Annales des télécommunications  
The second method replaces entity-centric models with a much more naive model which only stores the past labels and predicts the majority label seen so far.  ...  (entity), and entity-ignorant classifiers, which are trained on all reviews irrespective of the product, can improve prediction quality.  ...  The figure shows that the combined model without memory management uses the most memory and is steadily rising whereas the entity-ignorant model rises very slowly.  ... 
doi:10.1007/s12243-020-00800-4 fatcat:tkrmwmicuvd2pm74hmcqnlya2e

Modeling entity evolution for temporal record matching

Yueh-Hsuan Chiang, AnHai Doan, Jeffrey F. Naughton
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
The intuition here is that an entity might change its attribute value in the way that is dependent on its past values.  ...  In addition, our model considers sets of records (rather than simply pairs of records) to improve robustness and accuracy.  ...  For example, if the temporal model suggests that similarity on a given attribute is not very reliable due to entity evolution, then the result of the similarity computation will be given a low weight.  ... 
doi:10.1145/2588555.2588560 dblp:conf/sigmod/ChiangDN14 fatcat:xx3hudks3bblffc6zln3sxtptq

Neural Cross-Lingual Named Entity Recognition with Minimal Resources [article]

Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime Carbonell
2018 arXiv   pre-print
For languages with no annotated resources, unsupervised transfer of natural language processing models such as named-entity recognition (NER) from resource-rich languages would be an appealing capability  ...  To improve robustness to word order differences, we propose to use self-attention, which allows for a degree of flexibility with respect to word order.  ...  Acknowledgments We thank Stephen Mayhew for sharing the data, and Zihang Dai for meaningful discussion.  ... 
arXiv:1808.09861v2 fatcat:ev3kanrls5bjfmxy5f5erqqqti

FiNER: Financial Numeric Entity Recognition for XBRL Tagging [article]

Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, Georgios Paliouras
2022 arXiv   pre-print
We also experiment with FIN-BERT, an existing BERT model for the financial domain, and release our own BERT (SEC-BERT), pre-trained on financial filings, which performs best.  ...  We, therefore, introduce XBRL tagging as a new entity extraction task for the financial domain and release FiNER-139, a dataset of 1.1M sentences with gold XBRL tags.  ...  Thus, analysts and researchers needed to manually identify, copy, and paste each xbrl facilitates the machine processing of financial documents.  ... 
arXiv:2203.06482v2 fatcat:tgaiq3nn45ap3kg24gdn4dxgxe

A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse [article]

Sosuke Kobayashi, Naoaki Okazaki, Kentaro Inui
2017 arXiv   pre-print
Experiments conducted using our novel dataset show that the proposed variant of RNN language model outperformed the baseline model.  ...  Furthermore, the experiments also demonstrate that dynamic updates of an output layer help a model predict reappearing entities, whereas those of an input layer are effective to predict words following  ...  ., Makoto Miwa and Daichi Mochihashi for suggestive discussions.  ... 
arXiv:1709.01679v2 fatcat:mdy5jler2rdp7oci5ihkncx7zm

ETMR: a tumor entity in its infancy

Sander Lambo, Katja von Hoff, Andrey Korshunov, Stefan M. Pfister, Marcel Kool
2020 Acta Neuropathologica  
Since the discovery of the characteristic chromosome 19 miRNA cluster (C19MC) amplification a decade ago, the methods for diagnosing this entity have improved and many new insights in the molecular landscape  ...  However, despite those findings, treatment outcomes have only marginally improved, since the initial description of this tumor entity.  ...  This marker is very useful for the identification of ETMRs, since the widespread LIN28A positivity as seen in ETMRs is very rarely seen in other brain tumor entities, which are either completely negative  ... 
doi:10.1007/s00401-020-02182-2 pmid:32601913 fatcat:ddidlvd4mjajhmtbsrp7ocyqee

Complex Systems of Mindful Entities: On Intention Recognition and Commitment [chapter]

Luís Moniz Pereira, The Anh Han, Francisco C. Santos
2013 Model-Based Reasoning in Science and Technology  
The present paper aims to sensitize the reader to these Evolutionary Game Theory based studies and issues, which are accruing in importance for the modelling of , Ó Springer-Verlag Berlin Heidelberg 2014  ...  This holds separately for Intention Recognition and for Commitment, and even more when they are engaged jointly.  ...  Here, however, we shall concentrate on the simpler case of intention recognition from past experiences.  ... 
doi:10.1007/978-3-642-37428-9_28 fatcat:7cu5povpszhlxojf3gjjgnvi44

Principles and Tools for Collaborative Entity-Based Intelligence Analysis

E.A. Bier, S.K. Card, J.W. Bodnar
2010 IEEE Transactions on Visualization and Computer Graphics  
Key aspects of the design include an evidence notebook optimized for organizing entities (rather than text characters), information structures that can be collapsed and expanded, visualization of evidence  ...  We have modified the Entity Workspace system, described previously, to test such designs.  ...  They also thank all of the analysts who tested CorpusView and Entity Workspace and gave them early feedback on their usability and utility for analysis.  ... 
doi:10.1109/tvcg.2009.104 pmid:20075480 fatcat:ztwkn3rauzeyzpu2bbreswt52y

Calcific Uremic Arteriolopathy: An Underrecognized Entity

Victoria Kumar
2011 The Permanente Journal  
Disclosure Statement Funding for this work was provided by the National Heart, Lung and Blood Institute, National Institutes of Health, grants HL088198 and HL089623.  ...  Acknowledgments We would like to thank Jennifer L Ellis and Carol Zager for their assistance in preliminary data analyses, and Alanna Kulchak Rahm for reviewing earlier drafts.  ...  With the exception of more aggressive treatment of acute HF with an LVEF <35%, very little improvement would be expected from further improvements in care for patients with acute events.  ... 
doi:10.7812/tpp/10-114 fatcat:64lvjkv56ng75jq7gzrwrkx6em

Human-in-the-Loop Challenges for Entity Matching

AnHai Doan, G. C. Paul Suganthan, Haojun Zhang, Adel Ardalan, Jeffrey Ballard, Sanjib Das, Yash Govind, Pradap Konda, Han Li, Sidharth Mudgal, Erik Paulson
2017 Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics - HILDA'17  
Entity matching (EM) has been a long-standing challenge in data management. In the past few years we have started two major projects on EM (Magellan and Corleone/Falcon).  ...  We also hope that more researchers will investigate EM, as it can be a rich "playground" for HIL research.  ...  In the past few years, we have started two major projects on EM. The first project, Magellan, seeks to build an EM management system that helps users with all aspects of the EM process [14] .  ... 
doi:10.1145/3077257.3077268 dblp:conf/sigmod/DoanABDGKLMPCZ17 fatcat:drf2u2mrejcntjk47myhrqxa7q

Discovering Entities with Just a Little Help from You

Jaspreet Singh, Johannes Hoffart, Avishek Anand
2016 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management - CIKM '16  
For such entities, mining a suitable representation in a fully automated fashion is very difficult, resulting in poor linking accuracy.  ...  To address this, our approach automatically generates candidate occurrences of entities, prompting the user for feedback to decide if the occurrence refers to the actual entity in question.  ...  For completeness and to examine the effect of real user judgments, we also conducted a small scale experiment with students. Refer to Section 6.4 for the user study.  ... 
doi:10.1145/2983323.2983798 dblp:conf/cikm/SinghHA16 fatcat:7ez2uvxvzjb4tjmes3ohvlh7du
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