term-recognition
A Comparative Evaluation of Term Recognition Algorithms
... In terms of overall precision, our experiments do not produce consistent results from two testing corpus, indicating that domains and quality of corpus do have an impact on the performance of ATR algorithms. Experiment ...
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Structured Term Recognition in Medical Text
... In this paper we presented a novel approach to semi-supervised term recognition. Unlike previous approaches we induced structure of the known terms to predict new terms. This enables type recognition ...
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Evaluation of Technology Term Recognition with Random Indexing
... Table 1: Summary statistics of the benchmark dataset: each column shows the number of linguistic units in the bench- mark dataset extracted from the 10,922 publications in the ACL ARC corpus. The last column, which is ...
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Combining statistics on n-grams for automatic term recognition
... new term candidates rather than already known terms and also to the semantic dimension inherent to knowledge-based term recognition an empirical approach has been adopted, hence the extracted ...
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Term Recognition Using Technical Dictionary Hierarchy
... (Automatic Term Recognition) (Bourigault, 1992; Dagan et al, 1994; Justeson and Katz, 1995; Frantzi, 1999) have achieved good ...in term recognition, the increasing development of tools for ...
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Adapting Term Recognition to an Under Resourced Language: the Case of Irish
... Automatic term recognition is an area that has seen interest for a long time (Kageura and Umino, 1996), and a number of supervised and unsuper- vised methods have been ...of term frequency statistics ...
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FlexiTerm: a flexible term recognition method
... of term candi- ...as term components, which in effect will tend to favour longer phrases such as exacerbation of chronic obstructive pulmonary disease recognised by our method, but not the baseline (see ...
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An Improved Corpus Comparison Approach to Domain Specific Term Recognition
... Linguistic A linguistic approach played a dominant role in the early research on ATR. As early as twenty years ago, Ananiadou (1988) studied the effectiveness of theoretically motivated linguistic knowledge (e.g. ...
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Enhancing automatic term recognition through recognition of variation
... automatic term recognition (ATR) and term ...integrates term variation in a hybrid ATR approach, in which term candidates are recognised by a set of linguistic filters and termhood ...
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Investigating Context Parameters in Technology Term Recognition
... Technology terms and their corresponding concepts are part and parcel of any system that tries to cap- ture competitive technological intelligence (QasemiZadeh, 2010; Newman et al., 2014). We propose a method of ...
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Automatic Term Recognition Needs Multiple Evidence
... that term extraction is needed for a broad domain with thousands of terms and term ...A term extraction procedure is based on processing of large domain-specific text collections consisting of ...
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Unsupervised multi word term recognition in Welsh
... translate term variants consistently into another ...same term is used consistently throughout a discourse to refer to the same ...a term base in order to support translations that use established ...
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Improving Domain-specific Entity Recognition with Automatic Term Recognition and Feature Extraction
... the term extraction step with the entity extraction step, relying on the robustness of the learning algorithm to identify which terms are discriminative by taking account the training data, which is otherwise ...
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The effect of semantically related and unrelated vocabularies on EFL learners’ short-term and long term recognition and retention
... The present study with a quasi- experimental design, aimed at comparing the effect of semantically related and semantically unrelated clustering on elementary EFL Iranian learner’s recognition ability and their ...
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A Term Recognition Approach to Acronym Recognition
... evaluation corpus. We asked an expert in bio- informatics to extract long forms from 600,375 contextual sentences with the following criteria: a long form with minimum necessary elements (words) to produce its acronym is ...
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An Issue oriented Syllabus Retrieval System using Terminology based Syllabus Structuring and Visualization
... Recently, scientific knowledge has grown explosively because of rapid advancements that have occurred in academia and society. Because of this dramatic expansion of knowledge, learners and educators sometimes struggle to ...
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Effect of Dimethoate on Object Recognition Memory in Wistar Rats and Essay of Treatment with Nettle
... long-term recognition memory processes involve various components, such as subcortical and cortical ...on recognition memory functions remains to be ...
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Biomedical Term Extraction: NLP Techniques in Computational Medicine
... automatic term recognition extractor. Automatic Term Recognition (ATR) from technical texts is applied for the identification of key concepts for information retrieval and, secondarily, for ...
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RESILIENT ROTHERHAM?
... the recognition that most individuals from apparently deprived backgrounds fared reasonably well as adults that was the origin of the use of the term 'resilience' in relation to people and of the ...
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Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)
... The Computerm 2016 workshop received 28 submissions from 12 countries and 4 continents addressing issues on 9 languages. Further to a double-blind peer-reviewing process, 5 papers were accepted as long oral ...
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