We study the problem of extracting cross-lingual topics from non-parallel multilingual text
datasets with partially overlapping thematic content (eg, aligned Wikipedia articles in two …

A Bridge Over the Language Gap: Topic Modelling for Text Analyses Across Languages for
Country Comparative Research Page 1 Working PaPer A Bridge Over the Language Gap: Topic …

Document similarity tasks arise in many areas of information retrieval and natural language
processing. A fundamental question when comparing documents is which representation to …

Аннотация Тематическое моделирование—это одно из современных направлений
статистического анализа текстов, активно развивающееся последние 10–15 лет …

We consider ways to improve the performance of unsupervised plan and activity recognition
techniques by considering temporal and object relations in addition to postural data …

Most work on extracting parallel text from comparable corpora depends on linguistic
resources such as seed parallel documents or translation dictionaries. This paper presents a …

For topic models, such as LDA, that use a bag-of-words assumption, it becomes especially
important to break the corpus into appropriately-sized “documents”. Since the models are …

Probabilistic topic models like Latent Dirichlet Allocation (LDA) have been previously
extended to the bilingual setting. A fundamental modeling assumption in several of these …

Text is one of the most pervasive and persistent sources of information. Content analysis of
text in its broad sense refers to methods for studying and retrieving information from …

Scientific publications have evolved several features for mitigating vocabulary mismatch
when indexing, retrieving, and computing similarity between articles. These mitigation …