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pro vyhledávání: '"Dumitrache, Anca"'
With the uptake of algorithmic personalization in the news domain, news organizations increasingly trust automated systems with previously considered editorial responsibilities, e.g., prioritizing news to readers. In this paper we study an automated
Externí odkaz:
http://arxiv.org/abs/2004.09980
We present a resource for the task of FrameNet semantic frame disambiguation of over 5,000 word-sentence pairs from the Wikipedia corpus. The annotations were collected using a novel crowdsourcing approach with multiple workers per sentence to captur
Externí odkaz:
http://arxiv.org/abs/1904.06101
Autor:
Dumitrache, Anca, Inel, Oana, Timmermans, Benjamin, Ortiz, Carlos, Sips, Robert-Jan, Aroyo, Lora, Welty, Chris
The process of gathering ground truth data through human annotation is a major bottleneck in the use of information extraction methods for populating the Semantic Web. Crowdsourcing-based approaches are gaining popularity in the attempt to solve the
Externí odkaz:
http://arxiv.org/abs/1809.08888
Distant supervision is a popular method for performing relation extraction from text that is known to produce noisy labels. Most progress in relation extraction and classification has been made with crowdsourced corrections to distant-supervised labe
Externí odkaz:
http://arxiv.org/abs/1809.00537
Typically crowdsourcing-based approaches to gather annotated data use inter-annotator agreement as a measure of quality. However, in many domains, there is ambiguity in the data, as well as a multitude of perspectives of the information examples. In
Externí odkaz:
http://arxiv.org/abs/1808.06080
FrameNet is a computational linguistics resource composed of semantic frames, high-level concepts that represent the meanings of words. In this paper, we present an approach to gather frame disambiguation annotations in sentences using a crowdsourcin
Externí odkaz:
http://arxiv.org/abs/1805.00270
Distant supervision (DS) is a well-established method for relation extraction from text, based on the assumption that when a knowledge-base contains a relation between a term pair, then sentences that contain that pair are likely to express the relat
Externí odkaz:
http://arxiv.org/abs/1711.05186
Publikováno v:
ACM Transactions on Interactive Intelligent Systems (TIIS) Volume 8 Issue 2, July 2018
Cognitive computing systems require human labeled data for evaluation, and often for training. The standard practice used in gathering this data minimizes disagreement between annotators, and we have found this results in data that fails to account f
Externí odkaz:
http://arxiv.org/abs/1701.02185
Akademický článek
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Supplementary materials for the UMAP 2020 paper Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21595fc595ce159b55bb335ee8f50ea3