Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Colin Lockard"'
Publikováno v:
WWW
Information extraction from semi-structured webpages provides valuable long-tailed facts for augmenting knowledge graph. Relational Web tables are a critical component containing additional entities and attributes of rich and diverse knowledge. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61588239e776014c4b2459b4789bb393
http://arxiv.org/abs/2102.09460
http://arxiv.org/abs/2102.09460
Publikováno v:
KDD
ACL (tutorial)
ACL (tutorial)
The World Wide Web contains vast quantities of textual information in several forms: unstructured text, template-based semi-structured webpages (which present data in key-value pairs and lists), and tables. Methods for extracting information from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f73728f0b2c1f0e3e626dc4b46987df5
https://doi.org/10.1145/3394486.3406468
https://doi.org/10.1145/3394486.3406468
Publikováno v:
WSDM
How do we surface the large amount of information present in HTML documents on the Web, from news articles to scientific papers to Rotten Tomatoes pages to tables of sports scores? Such information can enable a variety of applications including knowl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fccc1253c96dd78aab8b166004f71a39
https://doi.org/10.1145/3336191.3371878
https://doi.org/10.1145/3336191.3371878
Publikováno v:
ACL
In many documents, such as semi-structured webpages, textual semantics are augmented with additional information conveyed using visual elements including layout, font size, and color. Prior work on information extraction from semi-structured websites
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ee96f9e59afc40054dc43bc429ebd4
Publikováno v:
Proceedings of the VLDB Endowment. 11:1084-1096
The web contains countless semi-structured websites, which can be a rich source of information for populating knowledge bases. Existing methods for extracting relations from the DOM trees of semi-structured webpages can achieve high precision and rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f3909666543bbcc38c25da1fa145fd4
https://doi.org/10.14778/3231751.3231758
https://doi.org/10.14778/3231751.3231758
Publikováno v:
NAACL-HLT (1)
In this paper, we consider advancing web-scale knowledge extraction and alignment by integrating OpenIE extractions in the form of (subject, predicate, object) triples with Knowledge Bases (KB). Traditional techniques from universal schema and from s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb4e4539248824102aa6cf7c673c9e29
https://doi.org/10.18653/v1/n19-1083
https://doi.org/10.18653/v1/n19-1083
Publikováno v:
NAACL-HLT (2)
Supervised event extraction systems are limited in their accuracy due to the lack of available training data. We present a method for self-training event extraction systems by bootstrapping additional training data. This is done by taking advantage o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82803408107e58cc8cffc272eead31bf