[PDF] Top 20 Collecting Image Annotations Using Amazon’s Mechanical Turk
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Collecting Image Annotations Using Amazon’s Mechanical Turk
... an image, but also the relations be- tween objects, their attributes, or the actions and events they participate ...tag annotations or cap- tions on photo-sharing sites such as ...an image on a ... See full document
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How Gamification Affects Crowdsourcing: The Case of Amazon Mechanical Turk
... I will adopt, in the context of this paper, the most popular definition of gamification, which describe it as “the use of game design elements in non-game contexts” (Deterding et al. 2011, p.2). The most commonly ... See full document
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Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation
... requesters using MTurk is that of filtering out spammers and other workers who consistently produce low-quality ...2 Amazon also allows providers to define their own ... See full document
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Using the Amazon Mechanical Turk to Transcribe and Annotate Meeting Speech for Extractive Summarization
... 5 Using Mechanical Turk for Annotations ...of Using Mechanical Turk Unlike some other tasks that require little or no context in order to perform the annotation, summa- ... See full document
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Collecting Semantic Data from Mechanical Turk for a Lexical Knowledge Resource in a Text to Picture Generating System
... Data collected from AMT tasks was manually filtered via removal of undesirable target item-response item pairs and classified via definition of the relations between the remaining target item-response item pairs. ... See full document
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Separating Fact from Fear: Tracking Flu Infections on Twitter
... used Amazon Mechanical Turk (Callison-Burch and Dredze, 2010) to label tweets as concerned awareness, infection, media and un- ...three annotations per ... See full document
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Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk
... Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation Cem Akkaya, Alexander Conrad, Janyce Wiebe and Rada Mihalcea Non-Expert Correction of Automatically Generated Relation ... See full document
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Opinion Mining of Spanish Customer Comments with Non Expert Annotations on Mechanical Turk
... As explained in Section 3, a total amount of 9000 assignments were uploaded on MTurk. At a reward of .02$ per assignment, a total sum of 225$ (180$ + 45$ Amazon fees) was spent on the task. Work- ers perceived an ... See full document
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Exploring Normalization Techniques for Human Judgments of Machine Translation Adequacy Collected Using Amazon Mechanical Turk
... conducted using Amazon MTurk and discussed several possibilities for normalizing the collected ...involves collecting additional judgments from multiple experts against which to further test our ... See full document
5
An Innovative Crowdsourcing Approach for Amazon Mechanical Turk
... of Amazon customers are interested in getting discount by doing tasks in purchase ...1200 Amazon customers from various countries. We’re going to analyze Amazon customers’ answers to the ...security ... See full document
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Active Learning with Amazon Mechanical Turk
... Using AL turns out to be quite successful for NER performance. For single annotations, NER perfor- mance is 67.0 (line 5), an improvement of 7.4% compared to random sampling. Adaptive voting and fragment ... See full document
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Effects of Semantic Relatedness between Setups and Punchlines in Twitter Hashtag Games
... denoted using text-based hashtags, meaning they can be processed in a similar way to the ...human annotations in order to extract context information from the cartoon ...on Amazon Mechanical ... See full document
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Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines
... From a corpus of synthetically produced clini- cal notes (MTSamples), Bill et al. (2014) identify 284 sentences as containing family history. At- tributes (vital status, negation, etc.) are annotated by medical and ... See full document
6
Crowdsourcing samples in cognitive science
... marketplace, Amazon Mechanical Turk (MTurk), became a popular source of convenience samples for cognitive science research (MTurk terms are listed in Box ... See full document
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A Benchmark Dataset for Learning to Intervene in Online Hate Speech
... Reddit: To retrieve high-quality conversational data that would likely include hate speech, we referenced the list of the whiniest most low-key toxic subreddits 6 . Skipping the three subreddits that have been removed, ... See full document
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Shedding (a Thousand Points of) Light on Biased Language
... use Amazon Mechanical Turk (MTurk) to en- gage in a systematic, empirical study of linguistic indi- cators of bias in the political domain, using text drawn from political ...blogs. ... See full document
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Five things we need to know about the on-demand economy. CEPS Essay No. 21/8 January 2016
... data using a statistical software programme called Stata, in exchange for payments of $100 or more, while at the same time, the financial reward for many tasks on the MTurk platform is less than one ... See full document
11
Rating Computer Generated Questions with Mechanical Turk
... example, annotations of the syntactic structure of human-generated lan- guage, many research paradigms involving the auto- matic generation of language may be able to benefit from using MTurk to quickly and ... See full document
6
Exploring Temporal Vagueness with Mechanical Turk
... This paper proposes schematic changes to the TempEval framework that target the tem- poral vagueness problem. Specifically, two elements of vagueness are singled out for special treatment: vague time expressions, and ... See full document
5
Error Driven Paraphrase Annotation using Mechanical Turk
... into Mechanical Turk for error driven para- ...pairs. Using the the above described algorithm to identify possible problem areas in the translation, with the Google Translate API providing both the ... See full document
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