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Found 7 papers, 2 papers with code
Generating Topic Pages for Scientific Concepts Using Scientific Publications
In this paper, we describe Topic Pages, an inventory of scientific concepts and information around them extracted from a large collection of scientific books and journals.
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents
For measuring topical diversity of text documents, our HiTR approach improves over the state-of-the-art measured on PubMed dataset.
Words are Malleable: Computing Semantic Shifts in Political and Media Discourse
We propose an approach for detecting semantic shifts between different viewpoints--broadly defined as a set of texts that share a specific metadata feature, which can be a time-period, but also a social entity such as a political party.
Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking
Deep neural networks have become a primary tool for solving problems in many fields.
On Horizontal and Vertical Separation in Hierarchical Text Classification
Extracting separable models of hierarchical entities requires us to take their relative position into account and to consider the different types of dependencies in the hierarchy.
Learning to Exploit Different Translation Resources for Cross Language Information Retrieval
To evaluate the proposed method we do English-Persian CLIR, in which we employ the translation ranking model to find translations of English queries and employ the translations to retrieve Persian documents.
A Genetic Algorithm for solving Quadratic Assignment Problem(QAP)
The obtained results in reasonable time show the efficiency of proposed GA.
