SOTAVerified

Word Sense Induction

Word sense induction (WSI) is widely known as the “unsupervised version” of WSD. The problem states as: Given a target word (e.g., “cold”) and a collection of sentences (e.g., “I caught a cold”, “The weather is cold”) that use the word, cluster the sentences according to their different senses/meanings. We do not need to know the sense/meaning of each cluster, but sentences inside a cluster should have used the target words with the same sense.

Description from NLP Progress

Papers

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Showing 51–75 of 107 papers

TitleStatusHype
Finding Individual Word Sense Changes and their Delay in Appearance—0
From the Culinary to the Political Meaning of ``quenelle'' : Using Topic Models For Identifying Novel Senses (De la quenelle culinaire \`a la quenelle politique : identification de changements s\'emantiques \`a l'aide des Topic Models) [in French]—0
Graph-Based Induction of Word Senses in Croatian—0
How much does a word weigh? Weighting word embeddings for word sense induction—0
Improved Estimation of Entropy for Evaluation of Word Sense Induction—0
Inducing Word Sense with Automatically Learned Hidden Concepts—0
Large Scale Substitution-based Word Sense Induction—0
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources—0
Leveraging Lexical Substitutes for Unsupervised Word Sense Induction—0
LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering—0
Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction—0
Multilingual Substitution-based Word Sense Induction—0
Naive Bayes Word Sense Induction—0
Navigating the Semantic Horizon using Relative Neighborhood Graphs—0
Neural context embeddings for automatic discovery of word senses—0
One Million Sense-Tagged Instances for Word Sense Disambiguation and Induction—0
One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter—0
On Modeling Sense Relatedness in Multi-prototype Word Embedding—0
Parsing with Context Embeddings—0
Paving the Way to a Large-scale Pseudosense-annotated Dataset—0
Regular polysemy: A distributional model—0
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities—0
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language—0
SATTY : Word Sense Induction Application in Web Search Clustering—0
Semantic clustering of Russian web search results: possibilities and problems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERT+DPF-Score71.3—Unverified
2AutoSenseF-Score61.7—Unverified
3LDAF-Score60.7—Unverified
4SE-WSI-fixF-Score55.1—Unverified
5BNP-HCF-Score23.1—Unverified