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Russian Semantic Similarity EvaluationThe RUSSE competition will perform a systematic comparison and evaluation of the baseline and the most recent approaches to semantic similarity.
http://russe.nlpub.ru/
The RUSSE competition will perform a systematic comparison and evaluation of the baseline and the most recent approaches to semantic similarity.
http://russe.nlpub.ru/
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Russian Semantic Similarity Evaluation | russe.nlpub.ru Reviews
https://russe.nlpub.ru
The RUSSE competition will perform a systematic comparison and evaluation of the baseline and the most recent approaches to semantic similarity.
russe.nlpub.ru
Call for Participation in RUSSE
http://russe.nlpub.ru/call
We are happy to announce two shared tasks of semantic similarity evaluation: the relatedness and the association tasks. These tasks are quite accessible, so we encourage both beginners and experts to participate. Short descriptions of the tasks are given below. Potential participants should register in order to participate here as soon as possible: http:/ goo.gl/xy8fWC. Motivation, Contribution and Expected Results. Unfortunately, most of the approaches to semantic similarity were implemented and evaluat...
Results of RUSSE
http://russe.nlpub.ru/results
Key results of the evaluation campaign. Are described in this paper:. Panchenko A., Loukachevitch N. V., Ustalov D., Paperno D., Meyer C. M., Konstantinova N. (2015) RUSSE: The First Workshop on Russian Semantic Similarity. In Proceeding of the International Conference on Computational Linguistics DIALOGUE 2015. pp.89 105. Moscow, Russia. Results of the RUSSE shared task on Russian semantic similarity:. Table with the final results.
Russian Semantic Relatedness
http://russe.nlpub.ru/downloads
Human and Machine Judgements about Russian Semantic Relatedness. HJ: Human Judgements of Word Pairs. Below you can download either the complete HJ dataset featuring 398 pairs (recommened for most of the caseses), or separate parts of the dataset, namely MC (65 pairs), RG (30 pairs) or WordSim353 (353 apirs). Note, that the WordSim353 is further sub-divided into similarity and relatedness datasets. In the CSV format word-i word-j similarity-ij . In the CSV format word-i word-j similarity-ij. This dataset ...
RUSSE News
http://russe.nlpub.ru/news
10/04/2016 Russian Semantic Relatedness. Several open language resources for semantic relatedness in Russian language. 01/02/2015 Final results now available. The final results of the RUSSE evaluation campaign are now available. Raw results are available here. We are looking forward meeting you at the special session of the Dialogue 2015 conference dedicated to the RUSSE shared task. The submission deadline is prolonged until Tuesday, the 20th of January 2015. 05/01/2015 Test dataset is now available.
Task Description
http://russe.nlpub.ru/task
There are two fairly similar tasks: the relatedness task and the association task. Each shared task is described below. Each task has two independent evaluation datasets. 1 The Relatedness Task. The goal of this task is to find semantically related words. Words are considered to be related if they are synonyms, hypernyms or hyponyms. For instance:. Авиация, авиа, syn. Абориген, индеец, hypo. Бизнесмен, владелец, hyper. See also Baroni and Lenchi (2011). This benchmark is derived from the RuThes Lite.
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About
http://mtsar.nlpub.org/about
The first international workshop on Russian semantic similarity evaluation conducted in 2014 2015, needed a human judgement dataset. In order to collect such judgements, a couple of scripts have been written in PHP. In 2015, it has become necessary to use the similar approach for data collection, but for quite a different domain. In order to satisfy such requirements, Mechanical Tsar, an open source crowdsourcing engine for mechanized labor, has been written in Java. On Twitter and @mtsar.
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Russian Semantic Similarity Evaluation
The First International Workshop on Russian Semantic Similarity Evaluation (RUSSE). Computational linguistics, natural language processing, lexical semantics, semantic similarity measures, semantic relations, semantic relation extraction, synonyms, hypernyms, co-hyponyms. Http:/ russe.nlpub.ru/. Measures of semantic similarity is an actively developing field of computational linguistics. Many methods were proposed and tested during last 20 years. Recently with the advent of neural network languag...Resul...
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