MASC: the Manually Annotated Sub-Corpus of American English

By Nancy Ide, Collin F. Baker, Christiane D. Fellbaum, Charles J. Fillmore, Rebecca J. Passonneau. 2008

92 citations recorded by the source corpus.

To answer the critical need for sharable, reusable annotated resources with rich linguistic annotations, we are developing a Manually Annotated Sub-Corpus (MASC) including texts from diverse genres and manual annotations or manually-validated annotations for multiple levels, including WordNet senses and FrameNet frames and frame elements, both of which have become significant resources in the international computational linguistics community. To derive maximal benefit from the semantic information provided by these resources, the MASC will also include manually-validated shallow parses and named entities, which will enable linking WordNet senses and FrameNet frames within the same sentences into more complex semantic structures and, because named entities will often be the role fillers of FrameNet frames, enrich the semantic and pragmatic information derivable from the sub-corpus. All MASC annotations will be published with detailed inter-annotator agreement measures. The MASC and its annotations will be freely downloadable from the ANC website, thus providing maximum accessibility for researchers from around the globe.

Subfields: Artificial Intelligence, Education, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Daniel Khashabi
2. Dan Roth
3. Ashish Sabharwal
4. Tushar Khot
5. K. Erk
6. Sven Buechel
7. Udo Hahn
8. Hannaneh Hajishirzi

In Education

1. K. Erk

In Evaluation & Benchmarks

1. Udo Hahn
2. Sven Buechel
3. Dan Roth
4. K. Erk
5. Sebastian Padó
6. Stefan Thater
7. Daniel Khashabi
8. Shyam Upadhyay

Citations in the corpus

• Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences (2018, background): “Articles on history and anthropology (Ide et al., 2008) [65] 5.”
• What Substitutes Tell Us - Analysis of an “All-Words” Lexical Substitution Corpus (2014, methodology): “It provides substitutions for more than 30,000 words of running text from two domains of MASC (Ide et al., 2008; Ide et al., 2010), a subset of the American National Corpus (http://www.anc.org) that is freely available and has (partial) manual annotation.”
• UvA-DARE (Digital Academic Repository) A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs (unknown): “We sampled single sentences and two-sentence paragraphs from several genres in the written text section of the Manually Annotated Sub-Corpus (MASC) (Ide et al., 2008; Ide et al., 2010) of the Open American National Corpus (OANC), supplemented by ad-”
• EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis (2017, methodology): “% Following these criteria, we composed our corpus out of several categories of the Manually Annotated Sub-Corpus of the American National Corpus (M ASC ; Ide et al. (2008), Ide et al. (2010)) and the corpus of SemEval-2007 Task 14 Affective Text (S E 07; Strapparava and Mihalcea (2007)).”