Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Marjorie Freedman"'
Our goal is to deliver a new task and leaderboard to stimulate research on question answering and pre-trained language models (PTLMs) to understand a significant instructional document, e.g., an introductory college textbook or a manual. PTLMs have s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20e49e554395cb9ac3049d0d1bed9e55
http://arxiv.org/abs/2110.01552
http://arxiv.org/abs/2110.01552
Publikováno v:
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021).
In this work, we draw parallels between automatically responding to emails for combating social-engineering attacks and document-grounded response generation and lay out the blueprint of our approach. Phishing emails are longer than dialogue utteranc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14200eab4a07aaa4dc6caf610c6a9438
https://doi.org/10.18653/v1/2021.dialdoc-1.15
https://doi.org/10.18653/v1/2021.dialdoc-1.15
Autor:
Daniel Napierski, Manling Li, Spencer Whitehead, Heng Ji, Clare R. Voss, Ying Lin, Marjorie Freedman, Brian Chen, Xiaoman Pan, Bo Wu, Alireza Zareian, Shih-Fu Chang
Publikováno v:
ACL (demo)
We present the first comprehensive, open source multimedia knowledge extraction system that takes a massive stream of unstructured, heterogeneous multimedia data from various sources and languages as input, and creates a coherent, structured knowledg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e49cdb9129866884b81e456784295af
https://doi.org/10.18653/v1/2020.acl-demos.11
https://doi.org/10.18653/v1/2020.acl-demos.11
Publikováno v:
Machine Translation. 32:31-43
We describe a multifaceted approach to named entity recognition that can be deployed with minimal data resources and a handful of hours of non-expert annotation. We describe how this approach was applied in the 2016 LoReHLT evaluation and demonstrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::957f2b3ccae9553520e0f825c07a12d5
https://doi.org/10.1007/s10590-017-9208-0
https://doi.org/10.1007/s10590-017-9208-0
Publikováno v:
CoNLL
Event trigger extraction is an information extraction task of practical utility, yet it is challenging due to the difficulty of disambiguating word sense meaning. Previous approaches rely extensively on hand-crafted language-specific features and are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7af4b43e696b0207884dce984f8a2344
https://doi.org/10.18653/v1/k19-1061
https://doi.org/10.18653/v1/k19-1061
Publikováno v:
EACL (1)
Building knowledge bases (KB) automatically from text corpora is crucial for many applications such as question answering and web search. The problem is very challenging and has been divided into sub-problems such as mention and named entity recognit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f58b8520ebbbacee52fb2421e63aac98
https://doi.org/10.18653/v1/e17-1057
https://doi.org/10.18653/v1/e17-1057
Autor:
Joe Ellis, Justin L. Mott, Marjorie Freedman, Stephanie M. Strassel, Teruko Mitamura, Zhiyi Song, Ann Bies, Heng Ji, Jeremy Getman, Tim O'Gorman, Martha Palmer
Publikováno v:
EVENTS@HLT-NAACL
Scopus-Elsevier
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccfc8f0730a6ef164a7beca3a3d146e9
https://doi.org/10.18653/v1/w16-1004
https://doi.org/10.18653/v1/w16-1004
Publikováno v:
ICSC
This work investigates identifying social behaviors (adversarial behavior and influence) of participants in online discussion forums from how their language use in English, Arabic, and Chinese. We describe the challenges of annotating implicit inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77ae6abd361df60dc60b83d348015828
https://doi.org/10.1109/icsc.2012.57
https://doi.org/10.1109/icsc.2012.57
Publikováno v:
Advances in Human Factors and Ergonomics Series ISBN: 9781439834954
Advances in Cross-Cultural Decision Making
Advances in Cross-Cultural Decision Making
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29694a4f4cce4406c70d75ae889cdad6
https://doi.org/10.1201/ebk1439834954-c40
https://doi.org/10.1201/ebk1439834954-c40
Autor:
Marjorie Freedman, Alex Baron
Publikováno v:
EMNLP
This paper describes a language-independent, scalable system for both challenges of cross-document co-reference: name variation and entity disambiguation. We provide system results from the ACE 2008 evaluation in both English and Arabic. Our English
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a541cc07d29a09c85db920256215c1e
https://doi.org/10.3115/1613715.1613754
https://doi.org/10.3115/1613715.1613754