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 51–100 of 107 papers

TitleStatusHype
context2vec: Learning Generic Context Embedding with Bidirectional LSTM—0
Sense Embedding Learning for Word Sense Induction—0
Word Sense Clustering and Clusterability—0
Automatic Biomedical Term Polysemy Detection—0
Graph-Based Induction of Word Senses in Croatian—0
One Million Sense-Tagged Instances for Word Sense Disambiguation and Induction—0
Neural context embeddings for automatic discovery of word senses—0
Duluth: Word Sense Discrimination in the Service of Lexicography—0
Efficiency in Ambiguity: Two Models of Probabilistic Semantics for Natural Language—0
Breaking Sticks and Ambiguities with Adaptive Skip-gramCode0
Navigating the Semantic Horizon using Relative Neighborhood Graphs—0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—0
Word Sense Induction for Machine Translation—0
A Unified Model for Word Sense Representation and Disambiguation—0
Semantic clustering of Russian web search results: possibilities and problems—0
Improved Estimation of Entropy for Evaluation of Word Sense Induction—0
Word Sense Induction Using Lexical Chain based Hypergraph Model—0
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources—0
Inducing Word Sense with Automatically Learned Hidden Concepts—0
Unsupervised Word Sense Induction using Distributional Statistics—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
Word Sense Induction for Lexical Resource Enrichment (Induction de sens pour enrichir des ressources lexicales) [in French]—0
A Sense-Based Translation Model for Statistical Machine Translation—0
WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification—0
One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter—0
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages—0
Naive Bayes Word Sense Induction—0
Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space—0
Class-based Word Sense Induction for dot-type nominals—0
Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction—0
Automatic Term Ambiguity Detection—0
DKPro WSD: A Generalized UIMA-based Framework for Word Sense Disambiguation—0
Cross-lingual WSD for Translation Extraction from Comparable Corpora—0
Towards Dynamic Word Sense Discrimination with Random Indexing—0
Concreteness and Corpora: A Theoretical and Practical Study—0
SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application—0
LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering—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
AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation—0
UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description—0
unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering—0
unimelb: Topic Modelling-based Word Sense InductionCode0
UoS: A Graph-Based System for Graded Word Sense Induction—0
Duluth : Word Sense Induction Applied to Web Page Clustering—0
Paving the Way to a Large-scale Pseudosense-annotated Dataset—0
SATTY : Word Sense Induction Application in Web Search Clustering—0
SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses—0
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction—0
Unsupervised Estimation of Word Usage Similarity—0
WSD for n-best reranking and local language modeling in SMT—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