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 1–50 of 107 papers

TitleStatusHype
PolyLM: Learning about Polysemy through Language ModelingCode1
RuDSI: graph-based word sense induction dataset for RussianCode1
On Modeling Sense Relatedness in Multi-prototype Word Embedding—0
Neural context embeddings for automatic discovery of word senses—0
AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation—0
One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter—0
LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering—0
Automatic Term Ambiguity Detection—0
Multilingual Substitution-based Word Sense Induction—0
Navigating the Semantic Horizon using Relative Neighborhood Graphs—0
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages—0
An Evaluation of Graded Sense Disambiguation using Word Sense Induction—0
A Unified Model for Word Sense Representation and Disambiguation—0
Applying cross-lingual WSD to wordnet development—0
DKPro WSD: A Generalized UIMA-based Framework for Word Sense Disambiguation—0
Disambiguated skip-gram model—0
Towards Automatic Construction of Filipino WordNet: Word Sense Induction and Synset Induction Using Sentence Embeddings—0
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models—0
Boosting the Coverage of a Semantic Lexicon by Automatically Extracted Event Nominalizations—0
Absinth: A small world approach to word sense induction—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
Naive Bayes Word Sense Induction—0
Class-based Word Sense Induction for dot-type nominals—0
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction—0
Combining Lexical Substitutes in Neural Word Sense Induction—0
Combining Neural Language Models for WordSense Induction—0
Concreteness and Corpora: A Theoretical and Practical Study—0
context2vec: Learning Generic Context Embedding with Bidirectional LSTM—0
Context-Dependent Sense Embedding—0
Cross-lingual WSD for Translation Extraction from Comparable Corpora—0
Automatic Biomedical Term Polysemy Detection—0
A Sense-Based Translation Model for Statistical Machine Translation—0
Duluth: Word Sense Discrimination in the Service of Lexicography—0
Duluth : Word Sense Induction Applied to Web Page Clustering—0
Efficiency in Ambiguity: Two Models of Probabilistic Semantics for Natural Language—0
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings—0
Evaluating Unsupervised Ensembles when applied to Word Sense Induction—0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—0
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
BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection—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
Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space—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
Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction—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