[PDF] Top 20 Creating Speech and Language Data With Amazon’s Mechanical Turk

... natural language processing, data drives re- ...accessible data sets creates whole new areas of re- ...ment data (Pang et al. (2002) with 894 citations) and the Amazon sentiment ... See full document

... on Creating Speech and Language Data With Amazon’s Mechanical Turk explores applications of crowdsourcing technologies for the creation and study of language ...Amazon’s ... See full document

... Processing, Data Verification and Clean-up, Information Gathering, Data ...Bezos’ speech: the production, analysis and processing of various types of information through an open call addressed to a ... See full document

... light language resource quality ...every data point without putting all the terms onto a single Web page, which is highly impractical for a large ...first language, we had no method of enforcing ...on ... See full document

... the data, usually the year in which TREC re- leased the data ...original data set for three reasons: a) There are NIL questions in the question set, ...original data set: a) The document ... See full document

... Our dataset consists of answers to a family history questionnaire collected from volunteers through Amazon Mechanical Turk (AMT) and from test cases of genetic counseling sessions (GCS). 2 This ... See full document

... investigating Amazon Mechanical Turk (MTurk) as a source of non-expert natural language annotation, which is a cheap and quick alternative to expert annotations (Kaisser and Lowe, 2008; ... See full document

... used Amazon Mechanical Turk judg- ments about sentences from American political blogs, asking annotators to indicate whether a sentence showed bias, and if so, in which political direction and ... See full document

... AL has been successfully applied to a number of NLP tasks such as part-of-speech tagging (Ringger et al., 2007), parsing (Osborne and Baldridge, 2004), text classification (Tong and Koller, 2002), senti- ment ... See full document

... We consider merging the annotations from mul- tiple turkers using a simple voting scheme as fol- lows. For each utterance, if 3, 4 or 5 annotators labeled the utterance with the same class, we la- beled the utterance ... See full document

... Several researchers have investigated using MTurk to build bilingual parallel corpora for ma- chine translation, a task which stands to benefit low cost, high volume translation on demand (Ger- mann, 2001). Ambati et al. ... See full document

... natural language. Thus, the data will not be as generally useful as other types of anno- tations, such as parse trees, which could be used to build general purpose syntactic ... See full document

... We theorize that the primary reason why humans add value to algorithms is that they have access to private information that the algorithm does not use, for example, because it is not in the database or there are not ... See full document

... conversational data that would likely include hate speech, we referenced the list of the whiniest most low-key toxic subreddits 6 ...collect data from ten subreddits: r/DankMemes, ... See full document

... the data of the different platforms it is difficult to study and understand how the supply and the demand of these services behave and what the equilibrium ...to data and other information that can then be ... See full document

... general, data quality – de fi ned as providing reliable self-report and larger experimental effect sizes – is usually not sensitive to compensation level [6,36,59], at least for American workers ...of data ... See full document

... Our data set consists of human adequacy judgments for automatic translations of 1314 English sentences into Arabic. The English source sentences and Ara- bic reference translations are taken from the Arabic- ... See full document

... automatic speech recognition (ASR), except that the ex- pected content is known, and the sequence of phonetic units can be forced to align with the audio; this is known as forced ... See full document

... sign language volunteers and this lack is reflected in the relative isolation of the ...sign language inputs in ...sign language inputs produce text-to-speech ...sign language speakers ... See full document

... A professional comedian and joke writer was invited to manually annotate the punchlines. Punchlines were loosely defined as the set of words which appear in a tweet that do not appear in original title/lyric, although ... See full document