[PDF] Top 20 Corpus Annotation as a Scientific Task

... in corpus linguistics is to develop annotation guidelines that provide clear criteria for each tag in the annotation ...any annotation task is to make it efficient in terms of both the ... See full document

... Manual annotation, as already mentioned, is subject to human ...simple annotation tasks, these errors may involve several ...the annotation does not belong to the reference (false positive); or (iv), ... See full document

... the task of retrieving disease-related articles becomes increasingly challenging using the traditional keyword- based ...extraction task in the biomedical literature is the disease mention recognition ... See full document

... the task of determining which noun phrases (NPs) in a text or dialogue refer to the same real-world entities (Ng, ...in scientific text has only recently gained interest in the research com- munity and ... See full document

... an annotation scheme for causal language and present a new corpus annotated using that scheme ( § ...the task of tagging causal language, casting it as a construction recognition problem ...and ... See full document

... In practice, a series of transducers is associated to every chunk category. More precisely, we have defined for every category a main transducer and a series of secondary ones. The main transducer describes the regular ... See full document

... Table 2: EN-ZH inter-annotator agreement. We have compared the annotations of two annotators in a confusion matrix. There exist certain dis- agreements between Literal and these categories: Equivalence (e.g. in this way ... See full document

... annotated corpus based on texts in biomedical domain has been constructed to tune natural language processing (NLP) tools for bio- ...the corpus annotated for syntactic structure of sen- tences is in ... See full document

... an annotation tool, MMAX2 (Müller and Strube, 2006), which forced the coders to use a predefined ...these annotation experiments, multiple annotators (as many as 20) worked independently on the same text, ... See full document

... the task of manually assigning word senses (Krishnamurthy and Nicholls ...sense annotation, ITA ranges from 67% to 78% (Landes, Leacock, and Tengi 1998; Mihalcea, Chklovski, and Kilgarriff 2004; Snyder and ... See full document

... and Moens, 2009), argument component identifica- tion (Daxenberger et al., 2017), and argument rela- tion classification (Boltuˇzi´c and ˇSnajder, 2014). In their pioneering work on automatic AM, Palau and Moens (2009) ... See full document

... biomedical scientific literature is a rich source of information not only in the English language, for which it is more abundant, but also in other languages, such as Portuguese, Spanish and ...parallel ... See full document

... of scientific dis- course is of paramount importance for the de- velopment of appropriate Natural Language Processing tools able to extract and summa- rize information from research ...annotated corpus of ... See full document

... The findings of this work phase are twofold. First, as shown by the examples above, the semantic relations are not spe- cific to natural language processing but reflect the more general semantics of the ... See full document

... multi-label annotation, by using at least two (maximum three) different CoreSC categories for one ...multi-label annotation will be propagated to the ...of annotation exist, the multi-label ... See full document

... Another solution is to consider as “markables” all the units annotated by at least one of the annotators (row U5). In this particular case, units not annotated by any of the annotators (i.e. silence) are overlooked. The ... See full document

... a corpus annotation project aiming at revealing how terms are coined and how they evolve to fit their function as semantically and morpho-syntactically dense encodings of specialised ...diachronic ... See full document

... explicit task and context information of relevance to determining ...focus annotation in authentic data is feasible, even for somewhat ill-formed learner language, if one has access to explicit questions ... See full document

... An example should illustrate the kind of interaction the Map Task involves with special focus on the lexical item "ouais". Extract 1 (see next page) is taken from the audio- visual condition. Prior to this ... See full document

... In our modeling, we adopt a token classification approach. We decompose the Quotation Extraction task into two subtasks: quotation identification and association between quo- tation and author. We further ... See full document