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Exploring the Importance of Entities in Semantic Ranking
2019
Information
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Then, this paper enhances two entity-based models—toy model and Explicit Semantic Ranking model (ESR)—by considering the importance of entities. ...
In recent years, entity-based ranking models have led to exciting breakthroughs in the research of information retrieval. ...
Explicit Semantic Ranking (ESR) [6] uses knowledge graphs and embeddings to take advantage of the semantics. ...
doi:10.3390/info10020039
fatcat:mwl6m2y5vvaqdnhopg4svzjqyy
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery
[article]
2020
arXiv
pre-print
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In this work, we hypothesize that these two tasks are tightly coupled because two synonymous entities tend to have similar likelihoods of belonging to various semantic classes. ...
Meanwhile, the set expansion model, being able to determine whether an entity belongs to a semantic class, can generate pseudo training data to fine-tune the synonym discovery model towards better accuracy ...
Finally, we rank all entities in the vocabulary based on their predicted probabilities.
Two Models' Mutual Enhancements Set Expansion Enhanced Synonym Discovery. ...
arXiv:2009.13827v1
fatcat:padu4xlmdjcplmr5zndnfeumaq
Semantic Search Meets the Web
2008
2008 IEEE International Conference on Semantic Computing
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Our results show that ontology-based semantic search capabilities can be used to complement and enhance keyword search technologies. ...
Question Answering (QA) system [14] and b) complements the specific answers retrieved during the QA process with a ranked list of documents from the Web [3] . ...
After step 3 we extracted a ranked list of documents for each textual representation of the semantic entity. ...
doi:10.1109/icsc.2008.52
dblp:conf/semco/FernandezLSUVMC08
fatcat:pcrx5synpndvxhlvqodoocajge
X-ENS
2013
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13
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In this paper, we present X-ENS (eXplore ENtities in Search), a web search application that enhances the classical, keyword-based, web searching with semantic information, as a means to combine the pros ...
Moreover, X-ENS permits the exploration of the identified entities by exploiting semantic repositories. 1 ...
CONCLUSION We described X-ENS, a web search application that enhances at real-time the classical web searching with semantic information, as a means to combine the pros of both semantic web standards and ...
doi:10.1145/2484028.2484200
dblp:conf/sigir/FafaliosT13
fatcat:f5vdlhn7dnbjhbd2rkvml4ovqu
Semantic Association Identification and Knowledge Discovery for National Security Applications
2005
Journal of Database Management
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The academic research related to semantic association identification, is built upon commercial Semantic Web technology for semantic metadata extraction. ...
Although role of semantics in search and integration has been often talked about, in this paper we discussed semantic approaches to support analytics on vast amount of heterogeneous data. ...
: Discovering Complex Relationships in Semantic Web"). ...
doi:10.4018/jdm.2005010103
fatcat:qxeenmi3qrfg7olvlqzdzl4bsq
Enhancing Knowledge Graph Embedding with Probabilistic Negative Sampling
2017
Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion
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Link Prediction using Knowledge graph embedding projects symbolic entities and relations into low dimensional vector space, thereby learning the semantic relations between entities. ...
The enhancements enable the model to smartly generate corrupted triplets during negative sampling, which significantly improves the training time and performance of TransR. ...
We used two measures as our evaluation metric: (1) Mean Rank of correct entities; and (2) proportion of correct entities in top-10 ranked entities (Hits@10). Ranking is decided by score function fr. ...
doi:10.1145/3041021.3054238
dblp:conf/www/KanojiaMTF17
fatcat:qmxp2ojyavh3pdi7xblbehn3qq
Toward a Deep Neural Approach for Knowledge-Based IR
[article]
2016
arXiv
pre-print
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In this paper, we review the main approaches of neural-based document ranking as well as those approaches for latent representation of entities and relations via KBs. ...
More particularly, this paper advocates that KBs can be used either to support enhanced latent representations of queries and documents based on both distributional and relational semantics or to serve ...
their symbolic semantics in the KB (e.g., the embedding of concepts extracted in common in both entities). ...
arXiv:1606.07211v1
fatcat:jdypcyno3zcwphnoclk44dsfxi
Semantic Search on Applicant Tracking System
2017
IJARCCE
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example for a query "Jet fuel Thermal Oxidation" to request information about job seekers whose resumes contain skills in Oil and Gas industry, in the top ten results there was a conflict in relevance ranking ...
We designed a combination of semantic search that look for web pages per search and database search. ...
Enhanced semantic search techniques include ranking by click models with the accuracy in relevance estimation by the well-known normalized discounted cumulative gain [17] that measures the divergence ...
doi:10.17148/ijarcce.2017.65122
fatcat:qbnnfo3hazdyhdkanjczwvupti
Entity-Based Stochastic Analysis Of Search Results For Query Expansion And Results Re-Ranking
2015
Zenodo
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In this paper we introduce a method that exploits entities from the emerging Web of Data for enhancing various Information Retrieval services. ...
The approach is based on named-entity recognition applied in a set of search results, and on a graph of documents and identified entities that is constructed dynamically and analyzed stochastically using ...
The document and entity scores (given by the probabilistic analysis) are exploited for enhancing various IR services, e.g. for query expansion and results re-ranking. ...
doi:10.5281/zenodo.804259
fatcat:kzye5sm7i5crzcnc4i5y5lqpsy
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking
[article]
2022
arXiv
pre-print
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Passage re-ranking is to obtain a permutation over the candidate passage set from retrieval stage. ...
Specifically, we employ the existing knowledge graph which is incomplete and noisy, and first apply it in passage re-ranking task. ...
Thus we propose Knowledge Enhanced Re-ranking Model (KERM), which utilizes external knowledge to explicitly enhance the semantic matching process in PLM based re-rankers. ...
arXiv:2204.11673v1
fatcat:5iynilhkhbdqnogc3flfylt4wu
Combining Linked Data and Statistical Information Retrieval
[chapter]
2014
Lecture Notes in Computer Science
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In this article, we will outline an approach for creating a webscale, precise and efficient information system capable of understanding keyword, entity and natural language queries. ...
The Semantic Web provides necessary procedures to augment the highly unstructured Web with suitable metadata in order to leverage search quality and user experience. ...
Furthermore, they present an algorithm which ranks Semantic Web entities with regard to trust information. ...
doi:10.1007/978-3-319-07443-6_58
fatcat:jukjpnhkzfeftlt4twe6g3glzu
SEMPL
2004
Alternate track papers & posters of the 13th international conference on World Wide Web - WWW Alt. '04
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As one illustration of semantic web technology in action, we present SEMPL, a semantic web portal for the Large Scale Distributed Information Systems lab (LSDIS) at the University of Georgia. ...
Semantic Web technology is intended for the retrieval, collection, and analysis of meaningful data with significant automation afforded by machine understandability of data [1] . ...
Also, a simple ranking mechanism based on the number of distinct relationship instances connecting two entities is used. ...
doi:10.1145/1010432.1010574
fatcat:4kzgly6rxnhntexq6af4e4vjfq
SEMPL
2004
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters - WWW Alt. '04
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As one illustration of semantic web technology in action, we present SEMPL, a semantic web portal for the Large Scale Distributed Information Systems lab (LSDIS) at the University of Georgia. ...
Semantic Web technology is intended for the retrieval, collection, and analysis of meaningful data with significant automation afforded by machine understandability of data [1] . ...
Also, a simple ranking mechanism based on the number of distinct relationship instances connecting two entities is used. ...
doi:10.1145/1013367.1013509
dblp:conf/www/PerryS04
fatcat:e4drr4pwf5b4zf4ttv5qllwonm
A Model of Text-Enhanced Knowledge Graph Representation Learning with Mutual Attention
2020
IEEE Access
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This paper proposes a novel text-enhanced knowledge graph representation model, which can utilize textual information to enhance the knowledge representations. ...
However, previous work fails to incorporate the complex structural signals (from structure representation) and semantic signals (from text representation). ...
To overcome this problem, we seek help from the beneficial semantic signal from knowledge graph representation learning for enhance the semantic robustness of textual relation representation learning, ...
doi:10.1109/access.2020.2981212
fatcat:6uhn2qkedjcqrln3hd6xdy2zbq
Increasing Life Science Resources Re-Usability using Semantic Web Technologies
2019
2019 15th International Conference on eScience (eScience)
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The
intermediate
score
through
an
enhancer
was
Conf idence Score × W eight Distance ×
(Rank transcript
×
Rank enhancer)
where
Rank transcript is the max of the transcript promoters
ranks. ...
The resulting query for computing the score could then use directly the Conf idence Score × W eight Distance × (Rank transcript × Rank enhancer) formula. ...
doi:10.1109/escience.2019.00031
dblp:conf/eScience/LouarnCGFSD19
fatcat:cpfydqp3gnco3j3d7ayifg6rby
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