We introduce a scheme for optimally allocating a variable number of bits per LSH
hyperplane. Previous approaches assign a constant number of bits per hyperplane. This …

This work fulfills sublinear time Nearest Neighbor Search (NNS) in massivescale document
collections. The primary contribution is to propose a two-stage unsupervised hashing …

Probabilistic topic modeling is a common first step in crosslingual tasks to enable knowledge
transfer and extract multilingual features. Although many multilingual topic models have …

Searching for similar documents and exploring major themes covered across groups of
documents are common activities when browsing collections of scientific papers. This …

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

Many tasks in NLP and IR require efficient document similarity computations. Beyond their
common application to exploratory data analysis, latent variable topic models have been …

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 …

Abstract The WMT Bilingual Document Alignment Task requires systems to assign source
pages to their “translations”, in a big space of possible pairs. We present four methods: The …

Existing large-scale scanned book collections have many shortcomings for data-driven
research, from OCR of variable quality to the lack of accurate descriptive and structural …

This paper describes an approach for identifying translations of books in large scanned
book collections with OCR errors. The method is based on the idea that although individual …