A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
A Semantic Best-Effort Approach for Extracting Structured Discourse Graphs from Wikipedia
2012
International Semantic Web Conference
Preserved Fulltext
To cope with this scenario, this work introduces a semantic best-effort information extraction approach, which targets an information extraction scenario where text information is extracted under a pay-as-you-go ...
A semantic information extraction framework (Graphia) is implemented and evaluated over the Wikipedia corpus. ...
Conclusion & Future Work This work focuses on the analysis of a semantic best-effort extraction approach using structured discourse graphs (SDGs), a RDF-based discourse representation format. ...
dblp:conf/semweb/FreitasCSOC12
fatcat:usaxei3fkbcszpq5q5yrjjr4rq
Representing Texts as Contextualized Entity-Centric Linked Data Graphs
2013
2013 24th International Workshop on Database and Expert Systems Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
The representation focuses on a semantic best-effort information extraction scenario, where information from text is extracted under a pay-as-you-go data quality perspective, trading terminological normalization ...
This work focuses on bridging the gap between structured and unstructured data, proposing the representation of text as structured discourse graphs (SDGs), targeting an RDF representation of unstructured ...
P. da Silva is a CNPq Fellow -Science without Borders (Brazil). ...
doi:10.1109/dexa.2013.21
dblp:conf/dexaw/FreitasOCSC13
fatcat:j6ww66y3njeovgkxydovyvkewi
On the Semantic Representation and Extraction of Complex Category Descriptors
[chapter]
2014
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
In the representation, complex categories are decomposed into a graph of primitive concepts, supporting their interlinking and semantic interpretation. ...
Natural language descriptors used for categorizations are present from folksonomies to ontologies. ...
A NLCD extractor is built and the extraction quality is evaluated (section 7).
Motivational Scenario Wikipedia is built from a large-scale decentralized data curation effort. ...
doi:10.1007/978-3-319-07983-7_6
fatcat:7w7x3iioy5g7nf6ybfhh76ixoy
Collaboratively built semi-structured content and Artificial Intelligence: The story so far
2013
Artificial Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Finally, we thank the Artificial Intelligence Journal Editors-in-Chief, Tony Cohn, Rina Dechter and Ray Perrault, for their continued support throughout the preparation of this special issue. ...
A parallel effort, similar in spirit to YAGO, is DBPedia [22] , the goal of which is also to transform the semi-structured content of Wikipedia into a fully-structured representation using RDF, a Semantic ...
[217] , on the other hand, developed a graph-based approach for constructing a multilingual thesaurus. ...
doi:10.1016/j.artint.2012.10.002
fatcat:mwk5o254urb2dejsh7c224uu3q
REMOD: Relation Extraction for Modeling Online Discourse
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Here we develop a novel supervised learning method for relation extraction that combines graph embedding techniques with path traversal on semantic dependency graphs. ...
A key challenge is relation extraction, which is the task of determining the semantic relationships between named entities in a claim. ...
Acknowledgements The authors would like to thank Google for making publicly available both the GREC dataset and the Fact Check Explorer tool, and Alexios Mantzarlis for feedback on the manuscript. ...
arXiv:2102.11105v2
fatcat:iawjsfcmazg2npdxulcbrfjjqy
Information Extraction from Scientific Literature for Method Recommendation
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We propose to construct a knowledge graph in a way that can make minimal use of hand annotated data, using only the extracted terms, unsupervised relational signals such as co-occurrence, and structural ...
In this proposal, we aim at making scientific recommendations by extracting scientific terms from a large collection of scientific papers and organizing the terms into a knowledge graph. ...
An example of a Wikipedia-derived graph is shown in Fig. 9 . Figure 10 is an example of a graph with auxiliary relations from different resources. ...
arXiv:1901.00401v1
fatcat:owygelspnjblloa2eecf5etihe
Utilising Wikipedia for Text Mining Applications
2016
SIGIR Forum
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
To the best of our knowledge, previous research efforts that utilise Wikipedia for knowledge extraction tasks have not taken both Wikipedia categories and Wikipedia articles together as a source of information ...
Chapter 4 presents our framework for measures of "semantic relatedness" built on top of the Wikipedia category graph and Wikipedia category-article structure. ...
B.2 The Approach In this section we present our strategy to exploit the Wikipedia articles' hyperlink structure; first we discuss phrase extraction which is followed by a discussion on how we actually ...
doi:10.1145/2888422.2888449
fatcat:lck3kkxoazcj5powaqhjs6epty
Specification of Web-based Analytics Methods and Tools D3.1
2021
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This perspective comprises semantic and pragmatic aspects of scientific discourse as well as more structural analyses that focus on connections and networking inside the projects, between different projects ...
WP3 aims at extracting and further processing such pieces of information from web and social media sources. ...
The DBpedia project aims to extract structured information from Wikipedia as RDF triples. ...
doi:10.5281/zenodo.5653454
fatcat:hq6g3lzdlbdm7pj5cmrccnilfa
Graphene: Semantically-Linked Propositions in Open Information Extraction
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In that way, we convert sentences that present a complex linguistic structure into simplified, syntactically sound sentences, from which we can extract propositions that are represented in a two-layered ...
We present an Open Information Extraction (IE) approach that uses a two-layered transformation stage consisting of a clausal disembedding layer and a phrasal disembedding layer, together with rhetorical ...
and investigate the creation of big knowledge graphs for QA by performing a large-scale Wikipedia extraction. ...
arXiv:1807.11276v1
fatcat:44x3le5cq5ajjjpqw52ugatszu
WikiBank: Using Wikidata to Improve Multilingual Frame-Semantic Parsing
2020
International Conference on Language Resources and Evaluation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We present WIKIBANK, a multilingual resource of partial semantic structures that can be used to extend pre-existing resources rather than creating new man-made resources from scratch. ...
for semantic parsers. ...
Conclusion We introduced WIKIBANK, a new multilingual resource for semantic parsing. WIKIBANK consists of partial semantic structures directly projected from Wikidata onto Wikipedia sentences. ...
dblp:conf/lrec/SasBS20
fatcat:dvaaatbtdfdbffggczeydv3vz4
Recent advances in methods of lexical semantic relatedness – a survey
2012
Natural Language Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
A key to this challenge rests on the technology of Information Extraction, which automatically transforms unstructured textual data into structured representation that can be interpreted and manipulated ...
them into pre-defined semantic categories. ...
To do so, entity names from a single discourse are firstly extracted to form the context to each other. Next, candidate referent entities for each name are identified from Wikipedia. ...
doi:10.1017/s1351324912000125
fatcat:b62qbqwrqfaf3gytw22yktc5ae
Unsupervised scene detection and commentator building using multi-modal chains
2012
Multimedia tools and applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper presents a novel unsupervised method for identifying the semantic structure in long semi-structured video streams. ...
We present two clustering strategies that accomplish this task, and compare them against a baseline Scene Transition Graph approach. ...
for media production, FP7-ICT 287532). ...
doi:10.1007/s11042-012-1086-0
fatcat:bqnt5tnemnbl3j5xtkp7orrqru
Scientific document summarization via citation contextualization and scientific discourse
2017
International Journal on Digital Libraries
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2017 pre-print arXiv:1706.03449v1 fatcat:sqinyab5knchdcjcqo32phfdci
We present a framework for scientific summarization which takes advantage of the citations and the scientific discourse structure. ...
We then train a model to identify the discourse facets for each citation. ...
-Discourse structure: After extracting the context of the citation texts, we classify them into different discourse facets. ...
doi:10.1007/s00799-017-0216-8
fatcat:4zwdaqixnzei3i6yegahz3gxge
Natural Language Generation in the context of the Semantic Web
2014
Semantic Web Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We attempt to provide an overview of the main paradigms of NLG from SW data, emphasizing how the Semantic Web provides opportunities for the NLG community to improve their state-of-the-art approaches whilst ...
bringing about challenges that need to be addressed before we can speak of a real symbiosis between NLG and the Semantic Web. ...
Acknowledgements We would like to thank the reviewers for their very constructive and detailed comments on earlier versions of the paper. All mistakes and omissions are of course ours. ...
doi:10.3233/sw-130125
fatcat:gbh2vyjrv5e5jbjd6m6sjrxrly
Identifying Motifs For Evaluating Open Knowledge Extraction On The Web
2016
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We demonstrate the usage and extraction techniques of motifs using a broad-coverage OKE tool for the Semantic Web called FRED. ...
Finally, we use identified motifs as empirical data for assessing the quality of OKE results, and show how they can be extended trough a use case represented by an application within the Semantic Sentiment ...
Acknowledgments The research leading to these results has received funding from the European Union Horizons 2020 the Framework Programme for Research and Innovation (2014-2020) under grant agreement 643808 ...
doi:10.5281/zenodo.1204443
fatcat:g4uv5yc765hmvh5lqpa6ol2mwe
« Previous
Showing results 1 — 15 out of 1,826 results