Случайное индексирование

method ID: randomindexing

Related Papers

Random Indexing using Statistical Weight Functions

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

Random Indexing is a vector space tech- nique that provides an efficient and scal- able approximation to distributional simi- larity problems. We present experiments showing Random Indexing to be poor …...

44740

Using a Word-Space Model to Determine the Relevance of Messages in Anchored Asynchronous Online Discussions

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

. This paper presents results of the first phase of our study aimed at investigating the applicability of word-space models, particularly those generated using Random Indexing (RI) technique, for the …...

18656

Applying Random Indexing to Structured Data to Find Contextually Similar Words

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractLanguage resources extracted from structured data (e.g. Linked Open Data) have already been used in various scenarios to improve conventional Natural Language Processing techniques. The meanings of words and the …...

13645

FCC: Three Approaches for Semantic Textual Similarity

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

In this paper we describe the three approaches we submitted to the Semantic Textual Similar- ity task of SemEval 2012. The first approach considers to calculate the semantic similar- ity …...

26241

LIMSI: Learning Semantic Similarity by Selecting Random Word Subsets

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

We propose a semantic similarity learning method based on Random Indexing (RI) and ranking with boosting. Unlike classical RI, we use only those context vector features that are informative for …...

26255

Evaluation of Technology Term Recognition with Random Indexing

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractIn this paper, we propose a method that combines the principles of automatic term recognition and the distributional hypothesis to identify technology terms from a corpus of scientific publications. We …...

15407