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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 107 papers

TitleStatusHype
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
SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application—0
SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses—0
Sense Embedding Learning for Word Sense Induction—0
Structured Generative Models of Continuous Features for Word Sense Induction—0
Supervised and unsupervised approaches to measuring usage similarity—0
The brWaC Corpus: A New Open Resource for Brazilian Portuguese—0
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks—0
Topological Data Analysis for Word Sense Disambiguation—0
Topology of Word Embeddings: Singularities Reflect Polysemy—0
Towards Dynamic Word Sense Discrimination with Random Indexing—0
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models—0
UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description—0
unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering—0
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation—0
Unsupervised Estimation of Word Usage Similarity—0
Unsupervised Word Sense Induction using Distributional Statistics—0
UoS: A Graph-Based System for Graded Word Sense Induction—0
Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction—0
Using Wiktionary as a resource for WSD : the case of French verbs—0
Vector representations of text data in deep learning—0
Word Sense Clustering and Clusterability—0
Word Sense Induction for Lexical Resource Enrichment (Induction de sens pour enrichir des ressources lexicales) [in French]—0
Word Sense Induction for Machine Translation—0
Word Sense Induction for Novel Sense Detection—0
Word Sense Induction using Knowledge Embeddings—0
Word Sense Induction Using Lexical Chain based Hypergraph Model—0
Word sense induction using word embeddings and community detection in complex networks—0
Word Sense Induction with Attentive Context Clustering—0
Word Sense Induction with Hierarchical Clustering and Mutual Information Maximization—0
Word Sense Induction with Knowledge Distillation from BERT—0
WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification—0
Absinth: A small world approach to word sense induction—0
WSD for n-best reranking and local language modeling in SMT—0
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models—0
AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation—0
An Evaluation of Graded Sense Disambiguation using Word Sense Induction—0
Applying cross-lingual WSD to wordnet development—0
A Sense-Based Translation Model for Statistical Machine Translation—0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—0
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages (\'Etat de l'art de l'induction de sens: une voie vers la d\'esambigu\" lexicale pour les langues peu dot\'ees) [in French]—0
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages—0
A Unified Model for Word Sense Representation and Disambiguation—0
Automatic Biomedical Term Polysemy Detection—0
Automatic Term Ambiguity Detection—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