Семантический поиск

task ID: semanticsearch

Related Papers

Application of a Semantic Search Algorithm to Semi-Automatic GUI Generation

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractThe Semantic Search research field aims to query metadata and to identify relevant subgraphs. While in traditional search engines queries are composed by lists of keywords connected through boolean operators, …...

13539

Cross-Lingual Information Retrieval and Semantic Interoperability for Cultural Heritage Repositories

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

This paper describes a computational linguis- tics-based approach for providing interopera- bility between multi-lingual systems in order to overcome crucial issues like cross-language and cross-collection retrieval. Our proposal is a …...

28913

Measuring Closure Properties of Patent Sublanguages

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

Patent search is an important information retrieval problem in scientific and busi- ness research. Semantic search would be a large improvement to current technolo- gies, but requires some insight into …...

28864

That’s sick dude!: Automatic identification of word sense change across different timescales

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

In this paper, we propose an unsupervised method to identify noun sense changes based on rigorous analysis of time-varying text data available in the form of millions of digitized books. …...

40507

Using Formulaic Expressions in Writing Assistance Systems

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractFormulaic expressions (FEs) used in scholarly papers, such as ‘there has been little discussion about’, are helpful for non-native English speakers. However, it is time-consuming for users to manually search …...

5292

Don’t Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence representation. Since attributes captured in stacked layers of PLMs …...

4819

Russian Jeopardy! Data Set for Question-Answering Systems

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractQuestion answering (QA) is one of the most common NLP tasks that relates to named entity recognition, fact extraction, semantic search and some other fields. In industry, it is much …...

16512