Index of papers in Proc. ACL 2013 that mention
  • turkers
Feng, Song and Kang, Jun Seok and Kuznetsova, Polina and Choi, Yejin
Experimental Results 11
About 300 unique Turkers participated the evaluation tasks.
Experimental Results 11
Otherwise we treat them as ambiguous cases.17 Figure 3 shows a part of the AMT task, where Turkers are presented with questions that help judges to determine the subtle connotative polarity of each word, then asked to rate the degree of connotation on a scale from -5 (most negative) and 5 (most positive).
Experimental Results 11
17We allow Turkers to mark words that can be used with both positive and negative connotation, which results in about 7% of words that are excluded from the gold standard set.
turkers is mentioned in 9 sentences in this paper.
Topics mentioned in this paper:
Recasens, Marta and Danescu-Niculescu-Mizil, Cristian and Jurafsky, Dan
Human Perception of Biased Language
Turkers were shown Wikipedia’s definition of a “biased statement” and two example sentences that illustrated the two types of bias, framing and epistemological.
Human Perception of Biased Language
Before the 10 sentences, turkers were asked to list the languages they spoke as well as their primary language in primary school.
Human Perception of Biased Language
On average, it took turkers about four minutes to complete each HIT.
turkers is mentioned in 8 sentences in this paper.
Topics mentioned in this paper:
Nakashole, Ndapandula and Tylenda, Tomasz and Weikum, Gerhard
Evaluation
To evaluate the quality of types assigned to emerging entities, we presented turkers with sentences from the news tagged with out-of-KB entities and the types inferred by the methods under test.
Evaluation
The turkers task was to assess the correctness of types assigned to an entity mention.
Evaluation
To make it easy to understand the task for the turkers , we combined the extracted entity and type into a sentence.
turkers is mentioned in 7 sentences in this paper.
Topics mentioned in this paper: