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Group and Topic Discovery from Relations and Their Attributes

Xuerui Wang, Natasha Mohanty, Andrew McCallum
2005 Neural Information Processing Systems  
We show that in comparison with traditional, separate latent-variable models for words, or Blockstructures for votes, the Group-Topic model's joint inference discovers more cohesive groups and improved  ...  We present a probabilistic generative model of entity relationships and their attributes that simultaneously discovers groups among the entities and topics among the corresponding textual attributes.  ...  Vincent Moscardelli, Chris Pal and Aron Culotta for helpful discussions.  ... 
dblp:conf/nips/WangMM05 fatcat:q4wmsecnhjehdnoxes2wtrgc2a

A Novel Sequence Labeling Framework for Extracting Drug-Protein Relations from Biomedical Literature [article]

Ling Luo, Po-Ting Lai, Chih-Hsuan Wei, Zhiyong Lu
2022 bioRxiv   pre-print
In addition to the conventional text classification framework that has been widely used in relation extraction tasks, we propose a novel sequence labeling framework to drug-protein relation extraction.  ...  ., the ensemble of models in two frameworks via major voting) achieved the F1-score of 0.795 on the official test set.  ...  For majority voting, we selected the relation class that is predicted by more than half of all models.  ... 
doi:10.1101/2022.03.31.486574 fatcat:5bhneyenv5g3vdnyy5joqumqba

Group and topic discovery from relations and text

Xuerui Wang, Natasha Mohanty, Andrew McCallum
2005 Proceedings of the 3rd international workshop on Link discovery - LinkKDD '05  
We show that in comparison with traditional, separate latent-variable models for words or Blockstructures for votes, the Group-Topic model's joint inference improves both the groups and topics discovered  ...  We present a probabilistic generative model of entity relationships and textual attributes that simultaneously discovers groups among the entities and topics among the corresponding text.  ...  Vincent Moscardelli, Chris Pal and Aron Culotta for helpful discussion.  ... 
doi:10.1145/1134271.1134276 dblp:conf/kdd/WangMM05 fatcat:57xihl7vyrej5cybhaidcjc3da

TAC KBP 2016 Cold Start Slot Filling and Slot Filler Validation Systems by IRT SystemX

Rashedur Rahman, Brigitte Grau, Sophie Rosset, Yoann Dupont, Jérémy Guillemot, Olivier Mesnard, Christian Lautier, Wilson Fred
2016 Text Analysis Conference  
The classifier models we use for SFV track are the same for both filtering and ensemble task.  ...  We have submitted 4 runs for each track of SFV which are our first submission and this submissions are applicable for only cold start monolingual English SF/KB runs (for both filtering and ensemble).  ...  Model Training We have submitted 4 runs for SFV (ensemble) task that use different feature sets for validating relations: Run#1(voting + linguistic + graph), Run#2(voting + linguistic), Run#3 (linguistic  ... 
dblp:conf/tac/RahmanGMRGRRGRG16 fatcat:t3kfbdr3pfhlfduv3r4gcxywlq

Page 657 of Florida Bar Journal Vol. 55, Issue 9 [page]

1981 Florida Bar Journal  
The operations portion of the Act contains provisions relating to: the management of the time sharing facilities;®® discharge of the manage¬ ment entity;®' assessment for com¬ mon e.xpenses;®^ liens for  ...  the third year after the management entity is created or provided for in the time sharing plan unless the purchasers vote to discharge the entity.®® This section then goes on to say that such a vote shall  ... 

Pretty Understandable Democracy - A Secure and Understandable Internet Voting Scheme

Jurlind Budurushi, Stephan Neumann, Maina M. Olembo, Melanie Volkamer
2013 2013 International Conference on Availability, Reliability and Security  
While these schemes are all based on different security models, most of these models are not adequate for high-stake elections.  ...  Internet voting continues to raise interest. A large number of Internet voting schemes are available, both in use, as well as in research literature.  ...  relation between indexes, and encryptions of voting codes generated for that index as well as encryptions of candidates prepared for that index.  ... 
doi:10.1109/ares.2013.27 dblp:conf/IEEEares/BudurushiNOV13 fatcat:7mam4k6kgbeuhjh7mwthosz3li

NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers

Biswanath Barik, Utpal Kumar Sikdar, Björn Gambäck
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
For relation identification and classification in subtask 2, it achieved F 1 scores of 33.9% and 17.0%,  ...  The outputs of the classifiers were combined through voting for the final prediction. A wide variety of features were explored, with the most informative identified by feature selection.  ...  The trained classifiers were ensembled using majority class labels (hard voting) for the final predictions.  ... 
doi:10.18653/v1/s18-1138 dblp:conf/semeval/BarikSG18 fatcat:nuwk5lcy2rccjgfzjt5pfc5hdm

The State-Owned Company as a withholding agent of a flat-rate personal income tax – interpretation problems

Renata Zyskowska
2019 Prawo Budżetowe Państwa i Samorządu  
In the light of the aforementioned regulation, the withholding agent responsible for the settlement of personal income tax is a company in which the State Treasury and other public entities -indicated  ...  This article aims at analysing Article 30(1) points 15) and 16) of the Personal Income Tax Act to indicate the conditions for recognizing a company, which is for the purposes of this article referred to  ...  Referring the above to the discussed regulation of the Personal Income Tax Act it should be assumed that this is not about the majority of votes held by one entity in relation to each of the other entities  ... 
doi:10.12775/pbps.2019.021 fatcat:roiv73vly5czbebypn4nkvy764

Comparing Open Arabic Named Entity Recognition Tools [article]

Abdullah Aldumaykhi, Saad Otai, Abdulkareem Alsudais
2022 arXiv   pre-print
Moreover, merging had the highest recall values while voting had the highest precision values for the three entity types.  ...  Finally, we collected a corpus of 21,635 articles related to COVID-19 and applied the merge and vote methods. Our analysis demonstrates the tradeoff between precision and recall for the two methods.  ...  This represented an additional demonstration of the value of the high precision results for the vote method. Moreover, none of the "COVID-19" related terms appeared as a top PER, ORG, or LOC.  ... 
arXiv:2205.05857v1 fatcat:emq5zhz3svdkpegzdm7ug7bq5y

Gathering and ranking photos of named entities with high precision, high recall, and diversity

Bilyana Taneva, Mouna Kacimi, Gerhard Weikum
2010 Proceedings of the third ACM international conference on Web search and data mining - WSDM '10  
We harness relational facts about entities for generating expanded queries to retrieve different candidate lists from image search engines.  ...  We use a weighted voting method to determine better rankings of an entity's photos.  ...  To generate the queries for each entity we use relational facts specific for each class. Table 1 lists a few test entities and a subset of their relational facts.  ... 
doi:10.1145/1718487.1718541 dblp:conf/wsdm/TanevaKW10 fatcat:7x3xdnxsyjcyzeii4n2rf56f44

"The Control" in View of International Accounting Regulation and Romanian Accounting Regulation

Cristina Ciuraru-Andrica, Elena Oprisan
2010 Studies and Scientific Researches: Economics Edition  
Example: Entities A and B holds 45%, respective 30% of the ordinary shares, with voting rights, over entity C.  ...  To establish control are taken into consideration also the potential voting rights related to share warrants, share call options, debt or equity instruments that are convertible into ordinary shares, or  ... 
doi:10.29358/sceco.v0i15.61 fatcat:a6v4x7agqvgdrcy6rcwjihmpmy

UH-MatCom at eHealth-KD Challenge 2020

Juan Pablo Consuegra-Ayala, Manuel Palomar
2020 Annual Conference of the Spanish Society for Natural Language Processing  
Several deeplearning models are trained and ensembled to automatically extract relevant entities and relations from plain text documents.  ...  Additional work needs to be done for the relation extraction task to successfully benefit from external knowledge sources.  ...  The partial match range stands for direct and related matches found between the individual words that make up the entities.  ... 
dblp:conf/sepln/Consuegra-Ayala20 fatcat:juh7h2lwy5gohnd6rpxogg26m4

Investments in Associates and Joint Ventures [chapter]

2015 Interpretation and Application of UK GAAP  
The results show that this approach of the issue mentioned is very useful for correct understanding and practice by potential investors.  ...  This article focuses on the main items regarding the identification of associated enterprises and joint ventures, and make useful guidelines related to the equity method, with reference to international  ...  When an entity discontinues using the equity method, the entity shall account for all amounts previously recognized in other comprehensive income in relation to that investment on the same basis envisaged  ... 
doi:10.1002/9781119052944.ch23 fatcat:emlowwl3p5blzeapouarlqiu4a

Combining Neural Networks and Log-linear Models to Improve Relation Extraction [article]

Thien Huu Nguyen, Ralph Grishman
2015 arXiv   pre-print
The last decade has witnessed the success of the traditional feature-based method on exploiting the discrete structures such as words or lexical patterns to extract relations from text.  ...  and recurrent neural networks has provided very effective mechanisms to capture the hidden structures within sentences via continuous representations, thereby significantly advancing the performance of relation  ...  Acknowledgment We would like to thank Matthew Gormley and Mo Yu for providing the dataset. Thank you to Kyunghyun Cho and Yifan He for valuable suggestions.  ... 
arXiv:1511.05926v1 fatcat:dnnowhwjsrbwpbbnqrxz65y23u

Chinese Microblog Entity Linking System Combining Wikipedia and Search Engine Retrieval Results [chapter]

Zeyu Meng, Dong Yu, Endong Xun
2014 Communications in Computer and Information Science  
Finally, we adopt improved VSM to get textual similarity for entity disambiguation. The accuracy of CMEL system is 84.35%, which ranks the second place in NLPCC 2014 Evaluation Entity Linking Task.  ...  Microblog has provided a convenient and instant platform for information publication and acquisition.  ...  Those m ties in the same document are related to each other and y which is most related to its contextual entities.  ... 
doi:10.1007/978-3-662-45924-9_41 fatcat:6yxyphcehjgqjjhtfeyscnyh64
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