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A framework for robust discovery of entity synonyms
2012
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12
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In this paper, we propose a general framework for robustly discovering entity synonym with two novel similarity functions that overcome the limitations of prior techniques. ...
Entity synonyms are critical for many applications like information retrieval and named entity recognition in documents. ...
Synonym Discovery Framework Given the available synonym similarity functions, a general framework is needed for discovering entity synonyms to make sure that the synonym relation properties are satisfied ...
doi:10.1145/2339530.2339743
dblp:conf/kdd/ChakrabartiCCX12
fatcat:n5zdvf5zsrbfbixm4jfkyaq52q
Entity Synonym Discovery via Multipiece Bilateral Context Matching
[article]
2020
arXiv
pre-print
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To leverage diverse contexts where entities are mentioned, in this paper, we generalize the distributional hypothesis to a multi-context setting and propose a synonym discovery framework that detects entity ...
As one of the key components in synonym discovery, we introduce a neural network model SYNONYMNET to determine whether or not two given entities are synonym with each other. ...
Acknowledgments We thank the reviewers for their valuable comments. This work is supported in part by NSF under grants III-1526499, III-1763325, III-1909323, and CNS-1930941. ...
arXiv:1901.00056v2
fatcat:pf6hh75srbfivg2xkrnjt3nsa4
Entity Synonym Discovery via Multipiece Bilateral Context Matching
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
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To leverage diverse contexts where entities are mentioned, in this paper, we generalize the distributional hypothesis to a multi-context setting and propose a synonym discovery framework that detects entity ...
As one of the key components in synonym discovery, we introduce a neural network model SynonymNet to determine whether or not two given entities are synonym with each other. ...
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence ...
doi:10.24963/ijcai.2020/199
dblp:conf/ijcai/ZhangLDFY20
fatcat:dwmgrpux2vbxzj326ge4hwyfbi
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
[article]
2020
arXiv
pre-print
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Extensive experiments on the SE2 dataset and previous benchmarks demonstrate the effectiveness of SynSetExpan for both entity set expansion and synonym discovery tasks. ...
SynSetExpan uses a synonym discovery model to include popular entities' infrequent synonyms into the set, which boosts the set expansion recall. ...
We thank anonymous reviewers for valuable and insightful feedback. ...
arXiv:2009.13827v1
fatcat:padu4xlmdjcplmr5zndnfeumaq
Graded relevance ranking for synonym discovery
2013
Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion
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Interest in domain-specific search is steadfastly increasing, yielding a growing need for domain-specific synonym discovery. ...
Existing synonym discovery methods perform poorly when faced with the realistic task of identifying a target term's synonyms from among many candidates. ...
We hypothesize that combining different types of features will result in a more robust synonym discovery method. We construct one feature vector for each pair of terms < , >. ...
doi:10.1145/2487788.2487855
dblp:conf/www/YatesGF13
fatcat:u35reyd2bfgh5dolvlchv4iwsy
Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora
2016
Proceedings of the 25th International Conference on World Wide Web - WWW '16
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For instance, web search engines, recognize queries that seek the value of an entity on a specific attribute (referred to as e+a queries) and provide direct answers for them using a combination of knowledge ...
To address that problem, we propose to automatically discover all the alternate ways of referring to the attributes of a given class of entities (referred to as attribute synonyms) in order to improve ...
We then present the two-step framework of attribute name extraction and attribute synonym discovery. ...
doi:10.1145/2872427.2874816
dblp:conf/www/HeCCT16
fatcat:rihgtgsoxbbitfje7gwbny5na4
Synonym Discovery for Structured Entities on Heterogeneous Graphs
2015
Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion
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We cast the synonym discovery problem into a graph-based ranking problem and demonstrate the existence of a closed-form optimal solution for outputting entity synonym scores. ...
With the increasing use of entities in serving people's daily information needs, recognizing synonyms-different ways people refer to the same entity-has become a crucial task for many entity-leveraging ...
To tackle the ambiguity issue, we propose a novel problem definition for entity synonym discovery, by taking a structured entity instead of only an entity name as input. ...
doi:10.1145/2740908.2745396
dblp:conf/www/RenC15
fatcat:3h7h77zdozdx3noz53yjqq5zem
Mining Entity Synonyms with Efficient Neural Set Generation
[article]
2018
arXiv
pre-print
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Mining entity synonym sets (i.e., sets of terms referring to the same entity) is an important task for many entity-leveraging applications. ...
Experiments on three real datasets from different domains demonstrate both effectiveness and efficiency of SynSetMine for mining entity synonym sets. ...
We thank Meng Qu for providing the original synonym discovery datasets and anonymous reviewers for valuable feedback. ...
arXiv:1811.07032v1
fatcat:tlaghksrcjhd5dktdngserieay
Discovering complex matchings across web query interfaces
2004
Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '04
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To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. ...
In particular, we develop the DCM framework, which consists of data preparation, dual mining of positive and negative correlations, and finally matching selection. ...
Since none of the existing measures [20, 4] is robust for both the sparseness problem and the rare attribute problem, we develop a new measure, H-measure, robust against both problems in measuring negative ...
doi:10.1145/1014052.1014071
dblp:conf/kdd/HeCH04
fatcat:sknk5rsgxbfo7csrxgcvsds3qy
Mining entity attribute synonyms via compact clustering
2013
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13
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In this work, we propose a novel compact clustering framework to jointly identify synonyms for a set of attribute values. ...
Extensive experiments across multiple domains demonstrate the effectiveness of our clustering framework for mining entity attribute synonyms. ...
CONCLUSIONS AND FUTURE WORKS For the problem of finding entity attribute synonyms, we propose a compact clustering framework to simultaneously identify synonyms for a set of attribute values. ...
doi:10.1145/2505515.2505608
dblp:conf/cikm/LiHZW13
fatcat:g67oqzuhofcn7ddgpadjezwusi
Mining Entity Synonyms with Efficient Neural Set Generation
2019
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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Mining entity synonym sets (i.e., sets of terms referring to the same entity) is an important task for many entity-leveraging applications. ...
Experiments on three real datasets from different domains demonstrate both effectiveness and efficiency of SynSetMine for mining entity synonym sets. ...
We thank Meng Qu for providing synonym discovery datasets and anonymous reviewers for valuable feedback. ...
doi:10.1609/aaai.v33i01.3301249
fatcat:vncrgrabrzfxzderhf3znp2saq
InfoGather
2012
Proceedings of the 2012 international conference on Management of Data - SIGMOD '12
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We present three core operations, namely entity augmentation by attribute name, entity augmentation by example and attribute discovery, that are useful for "information gathering" tasks (e.g., researching ...
The challenge is to be robust to spuriously matched tables: we address it by developing a holistic matching framework based on topic sensitive pagerank and an augmentation framework that aggregates predictions ...
Attributes Discovery Evaluation: In Figure 9 , we show a sample of the discovered attributes with their synonyms for 4 of the datasets. ...
doi:10.1145/2213836.2213848
dblp:conf/sigmod/YakoutGCC12
fatcat:3qilt7gstne3lgty57fph6lmka
A framework for semantic link discovery over relational data
2009
Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09
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In this paper, we present a framework for discovery of semantic links from relational data. Our framework is based on declarative specification of linkage requirements by a user. ...
We illustrate the use of our framework using several link discovery algorithms on a real world scenario. ...
In this paper, we seek to develop a generic and extensible framework for integrating link discovery methods. ...
doi:10.1145/1645953.1646084
dblp:conf/cikm/HassanzadehKLMW09
fatcat:qk3vzc7ywnaylfxx7hoewpnolq
Mining Structures from Massive Text Data: A Data-Driven Approach
2017
Symposium on Information Management and Big Data
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The real-world big data are largely unstructured, interconnected, and in the form of natural language text. ...
We show such a paradigm represents a promising direction at turning massive text data into structured networks and useful knowledge. ...
Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon. ...
dblp:conf/simbig/Han17
fatcat:pn573jbtavavjimlmqxx43gmra
Ontologizing Health Systems at Scale: Making Translational Discovery a Reality (Podium Abstract)
2021
Zenodo
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Mappings were converted to Resource Description Framework (RDF) and logically validated by running a deductive logic reasoner. ...
Additional metadata for each concept identifier included source codes, labels, and synonyms at both the concept and concept ancestor levels. ...
doi:10.5281/zenodo.5716459
fatcat:nfmenf74oncjljfcqhrhsv4duu
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