Semantic structuring of conference contributions using the Hofmethode
نویسندگان
چکیده
The similarity relation of a number of texts is important not only for congress organizers (who need to group the proposed contributions to meaningful sessions) but to everybody who wants to find certain information within a larger number of texts. Existing information retrieval methods compare texts according to their similarity. Because these methods mostly remain on the surface of the words, the resemblance is not primary a semantic one, but a stylistic and vocabulary dependent one. Based on psychological considerations we have developed an algorithm called Hofmethode, which compares the semantic 'environment' of key words. Using the example of the SGP congress we show in this paper how the Hofmethode can be used to help both congress organizers and participants to find the appropriate contributions. Semantic Structuring of Conference Contributions Using the Hofmethode Oliver Michel (Arbeitsgruppe Angewandte Kognitionspsychologie, Universität Zürich, Switzerland [email protected]) Damian Läge (Arbeitsgruppe Angewandte Kognitionspsychologie, Universität Zürich, Switzerland [email protected]) Abstract: The similarity relation of a number of texts is important not only for congress organizers (who need to group the proposed contributions to meaningful sessions) but to everybody who wants to find certain information within a larger number of texts. Existing information retrieval methods compare texts according to their similarity. Because these methods mostly remain on the surface of the words, the resemblance is not primary a semantic one, but a stylistic and vocabulary dependent one. Based on psychological considerations we have developed an algorithm called Hofmethode, which compares the semantic 'environment' of key words. Using the example of the SGP congress we show in this paper how the Hofmethode can be used to help both congress organizers and participants to find the appropriate contributions. The similarity relation of a number of texts is important not only for congress organizers (who need to group the proposed contributions to meaningful sessions) but to everybody who wants to find certain information within a larger number of texts. Existing information retrieval methods compare texts according to their similarity. Because these methods mostly remain on the surface of the words, the resemblance is not primary a semantic one, but a stylistic and vocabulary dependent one. Based on psychological considerations we have developed an algorithm called Hofmethode, which compares the semantic 'environment' of key words. Using the example of the SGP congress we show in this paper how the Hofmethode can be used to help both congress organizers and participants to find the appropriate contributions.
منابع مشابه
The Impact of Semantic Clustering on Iranian EFL Advanced Learners’ Vocabulary Retention
This study investigated the impact of semantic clustering on Iranian EFL learners’ vocabulary retention at advanced level. Participants were female learners randomly assigned to two groups of 15. Four instruments (TOEFL test; vocabulary pretest; immediate posttest, and delayed recall posttest) were used. The experimental group underwent semantic clustering vocabulary presentation in which the l...
متن کاملOn the Problem of Lexical Semantic Change
The article provides an insight into a problem of lexical semantic change. A short historical outline of the development of semantic studies is given. The authors analyze some of the most important stages in the history of the formation of this field. The existing approaches to dealing with form and meaning, namely semasiological and onomasiological ones are discussed. The authors consider the ...
متن کاملThe Hofmethode: Computing Semantic Similarities between E-Learning Products
The key task in building useful e-learning repositories is to develop a system with an algorithm allowing users to retrieve information that corresponds to their specific requirements. To achieve this, products (or their verbal descriptions, i.e. presented in metadata) need to be compared and structured according to the results of this comparison. Such structuring is crucial insofar as there ar...
متن کاملStructuring Linked Data Search Results Using Probabilistic Soft Logic
On-the-fly generation of integrated representations of Linked Data (LD) search results is challenging because it requires successfully automating a number of complex subtasks, such as structure inference and matching of both instances and concepts, each of which gives rise to uncertain outcomes. Such uncertainty is unavoidable given the semantically heterogeneous nature of web sources, includin...
متن کاملLexical Semantic Representation , and Argument Expression
Over the last twenty years aspectual notions have been increasingly appealed to in structuring verbal lexical semantic representations and, concomitantly, in formulating principles of argument expression. This move has been further fueled by the significant insights that have emerged from this line of research. Yet, despite the enthusiasm for aspectual notions that their proliferation demonstra...
متن کامل