Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines
نویسندگان
چکیده
Crowdsourcing is an emerging collaborative approach that can be used for the acquisition of annotated corpora and a wide range of other linguistic resources. Although the use of this approach is intensifying in all its key genres (paid-for crowdsourcing, games with a purpose, volunteering-based approaches), the community still lacks a set of best-practice guidelines similar to the annotation best practices for traditional, expert-based corpus acquisition. In this paper we focus on the use of crowdsourcing methods for corpus acquisition and propose a set of best practice guidelines based in our own experiences in this area and an overview of related literature. We also introduce GATE Crowd, a plugin of the GATE platform that relies on these guidelines and offers tool support for using crowdsourcing in a more principled and efficient manner.
منابع مشابه
A Methodology for Corpus Annotation through Crowdsourcing
In contrast to expert-based annotation, for which elaborate methodologies ensure high quality output, currently no systematic guidelines exist for crowdsourcing annotated corpora, despite the increasing popularity of this approach. To address this gap, we define a crowd-based annotation methodology, compare it against the OntoNotes methodology for expert-based annotation, and identify future ch...
متن کاملAWATIF: A Multi-Genre Corpus for Modern Standard Arabic Subjectivity and Sentiment Analysis
We present AWATIF, a multi-genre corpus of Modern Standard Arabic (MSA) labeled for subjectivity and sentiment analysis (SSA) at the sentence level. The corpus is labeled using both regular as well as crowd sourcing methods under three different conditions with two types of annotation guidelines. We describe the sub-corpora constituting the corpus and provide examples from the various SSA categ...
متن کاملCross-language transfer of semantic annotation via targeted crowdsourcing: task design and evaluation
The development of a natural language speech application requires the process of semantic annotation. Moreover multilingual porting of speech applications increases the cost and complexity of the annotation task. In this paper we address the problem of transferring the semantic annotation of the source language corpus to a low-resource target language via crowdsourcing. The current crowdsourcin...
متن کاملThe OnForumS corpus from the Shared Task on Online Forum Summarisation at MultiLing 2015
In this paper we present the OnForumS corpus developed for the shared task of the same name on Online Forum Summarisation (OnForumS at MultiLing’15). The corpus consists of a set of news articles with associated readers’ comments from The Guardian (English) and La Repubblica (Italian). It comes with four levels of annotation: argument structure, comment-article linking, sentiment and coreferenc...
متن کاملCrowdsourcing a multilingual speech corpus: recording, transcription and annotation of the CROWDED CORPUS
We announce the release of the CROWDED CORPUS: a pair of speech corpora collected via crowdsourcing, containing a native speaker corpus of English (CROWDED_ENGLISH), and a corpus of German/English bilinguals (CROWDED_BILINGUAL). Release 1 of the CROWDED CORPUS contains 1000 recordings amounting to 33,400 tokens collected from 80 speakers and is freely available to other researchers. We recruite...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014