Corpora Clause Samples

The 'Corpora' clause defines the types and scope of data collections, or corpora, that are relevant to the agreement. It typically specifies what datasets are included, how they may be accessed or used, and any restrictions or permissions regarding their use. For example, it may clarify whether the corpora consist of proprietary, public, or user-generated content, and outline the purposes for which the data can be utilized. This clause ensures both parties have a clear understanding of what data is covered, reducing ambiguity and helping to prevent disputes over data usage rights.
Corpora. The SCA Inc. Board of Directors maintains the rules of the Society, as delineated in its governing documents (“Corpora”). These rulings shall be in effect in the Affiliate’s Territory as elsewhere throughout the SCA Inc. Members of the Affiliate shall have the same rights and opportunity to comment on proposed changes to Corpora, as do members of the SCA Inc. Such proposals shall be sent to the Kingdom Chronicler of the Affiliate’s Kingdom(s) for publication in that Kingdom’s newsletter.
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Corpora. ‌ The various techniques presented here rely on three types of data: monolingual tree- banks, for training baseline monolingual parsers; parallel corpora, for training baseline un- supervised word aligners and also for training and evaluating machine translation systems; and bilingual treebanks, for training and evaluating the bilingual parsing models.
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Corpora. All UMMHC prospective and retrospective patient EHRs used for annotation of clinical narratives (for 2500 clinical notes each of diabetes, cardiovascular and cancer patients) available through IRB Docket H00001387, 200 EHRs from diabetes and cardiovascular patients (data for 75 patients has already been collected with consent under former related IRB Docket H00003068) and 100 EHRs from Spanish speaking diabetic patients (former IRB Docket H00003366). This data will be used as training data for supervised and semi-supervised machine learning algorithm development.
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Corpora. We use sentences from two publicly available datasets, covering two different genres. The first corpus, used in the experiments in sections 3 and 4, is the First Certificate in English (FCE) Cam- bridge Learner Corpus (Yannakoudakis et al., 2011). This dataset contains essays authored by upper- intermediate level English learners3. The second corpus is the WSJ part of the Penn Treebank (WSJ PTB) (▇▇▇▇▇▇ et al., 1993). Since its release, this dataset has been the most commonly used resource for training and evaluation of English parsers. Our experiment on inter-annotator agree- ment in section 5 uses a random subset of the sen- tences in section 23 of the WSJ PTB, which is tradi- tionally reserved for tagging and parsing evaluation.
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