Thesaurus Verification Based on Distributional Similarities
In this paper we consider an approach to verification of large lexical-semantic resources as WordNet. The method of verification procedure is based on the analysis of discrepancies of corpus-based and thesaurus-based word similarities. We calculated such word similarities on the basis of a Russian news collection and Russian wordnet (RuWordNet). We applied the procedure to more than 30 thousand words and found some serious errors in word sense description, including incorrect or absent relations or missed main senses of ambiguous words.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Distributed Distributional Similarities of Google Books Over the Centuries
This paper introduces a distributional thesaurus and sense clusters computed on the complete Google Syntactic N-grams, which is extracted from Google Books, a very large corpus of digitized books published between 1520 a…
Graph ClusteringUsing Distributional Thesaurus Embedding for Co-hyponymy Detection
Discriminating lexical relations among distributionally similar words has always been a challenge for natural language processing (NLP) community. In this paper, we investigate whether the network embedding of distributi…
Binary ClassificationGeneral ClassificationNetwork EmbeddingCan Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation?
Distributed representations of words learned from text have proved to be successful in various natural language processing tasks in recent times. While some methods represent words as vectors computed from text using pre…
Network EmbeddingWord SimilarityDirect vs. indirect evaluation of distributional thesauri
With the success of word embedding methods in various Natural Language Processing tasks, all the field of distributional semantics has experienced a renewed interest. Beside the famous word2vec, recent studies have prese…
Information RetrievalRetrievalComparing Similarity Measures for Distributional Thesauri
Distributional thesauri have been applied for a variety of tasks involving semantic relatedness. In this paper, we investigate the impact of three parameters: similarity measures, frequency thresholds and association sco…
Dimensionality Reduction