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- 564 creator chikara-hashimoto.
- 564 creator daisuke-kawahara.
- 564 creator keiji-shinzato.
- 564 creator sadao-kurohashi.
- 564 type InProceedings.
- 564 label "A Large-Scale Web Data Collection as a Natural Language Processing Infrastructure".
- 564 sameAs 564.
- 564 abstract "In recent years, language resources acquired from theWeb are released, and these data improve the performance of applications in several NLP tasks. Although the language resources based on the web page unit are useful in NLP tasks and applications such as knowledge acquisition, document retrieval and document summarization, such language resources are not released so far. In this paper, we propose a data format for results of web page processing, and a search engine infrastructure which makes it possible to share approximately 100 million Japanese web data. By obtaining the web data, NLP researchers are enabled to begin their own processing immediately without analyzing web pages by themselves.".
- 564 hasAuthorList authorList.
- 564 hasTopic Linguistics.
- 564 isPartOf proceedings.
- 564 keyword "LR Infrastructures and Architectures".
- 564 keyword "LR web services".
- 564 keyword "Standards for LRs".
- 564 title "A Large-Scale Web Data Collection as a Natural Language Processing Infrastructure".
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- item-1 hasContent keiji-shinzato.
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- 565 creator john-lowe.
- 565 creator michael-kaisser.
- 565 type InProceedings.
- 565 label "Creating a Research Collection of Question Answer Sentence Pairs with Amazon s Mechanical Turk".
- 565 sameAs 565.
- 565 abstract "Each year NIST releases a set of question, document id, answer-triples for the factoid questions used in the TREC Question Answering track. While this resource is widely used and proved itself useful for many purposes, it also is too coarse a grain-size for a lot of other purposes. In this paper we describe how we have used Amazon s Mechanical Turk to have multiple subjects read the documents and identify the sentences themselves which contain the answer. For most of the 1911 questions in the test sets from 2002 to 2006 and each of the documents said to contain an answer, the Question-Answer Sentence Pairs (QASP) corpus introduced in this paper contains the identified answer sentences. We believe that this corpus, which we will make available to the public, can further stimulate research in QA, especially linguistically motivated research, where matching the question to the answer sentence by either syntactic or semantic means is a central concern.".
- 565 hasAuthorList authorList.
- 565 hasTopic Linguistics.
- 565 isPartOf proceedings.
- 565 keyword "Corpus (creation, annotation, etc.)".
- 565 keyword "Information Extraction, Information Retrieval".
- 565 keyword "Question Answering".
- 565 title "Creating a Research Collection of Question Answer Sentence Pairs with Amazon s Mechanical Turk".
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- item-1 hasContent michael-kaisser.
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- 566 creator andrea-esuli.
- 566 creator fabrizio-sebastiani.
- 566 creator ilaria-urciuoli.
- 566 type InProceedings.
- 566 label "Annotating Expressions of Opinion and Emotion in the Italian Content Annotation Bank".
- 566 sameAs 566.
- 566 abstract "In this paper we describe the result of manually annotating I-CAB, the Italian Content Annotation Bank, by expressions of private state (EPSs), i.e., expressions that denote the presence of opinions, emotions, and other cognitive states. The aim of this effort was the generation of a standard resource for supporting the development of opinion extraction algorithms for Italian, and of a benchmark for testing such algorithms. To this end we have employed a previously existing annotation language (here dubbed WWC, from the initials of its proponents). We here describe the results of this annotation effort, including the results of a thorough inter-annotator agreement test. We conclude by discussing how WWC can be adapted to the specificities of a Romance language such as Italian.".
- 566 hasAuthorList authorList.
- 566 hasTopic Linguistics.
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- 566 keyword "Corpus (creation, annotation, etc.)".
- 566 keyword "Emotions".
- 566 title "Annotating Expressions of Opinion and Emotion in the Italian Content Annotation Bank".
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- item-1 hasContent andrea-esuli.
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- item-2 hasContent fabrizio-sebastiani.
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- 567 creator emanuele-pianta.
- 567 creator sara-tonelli.
- 567 type InProceedings.
- 567 label "Frame Information Transfer from English to Italian".
- 567 sameAs 567.