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 1–50 of 107 papers

TitleStatusHype
PolyLM: Learning about Polysemy through Language ModelingCode1
RuDSI: graph-based word sense induction dataset for RussianCode1
A Simple Approach to Learn Polysemous Word EmbeddingsCode0
Towards better substitution-based word sense inductionCode0
Automated WordNet Construction Using Word EmbeddingsCode0
AutoSense Model for Word Sense InductionCode0
Improved Word Representation Learning with SememesCode0
UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word SensesCode0
Exploring Topic Coherence over Many Models and Many TopicsCode0
Watset: Automatic Induction of Synsets from a Graph of SynonymsCode0
Breaking Sticks and Ambiguities with Adaptive Skip-gramCode0
A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic ChangeCode0
Russian word sense induction by clustering averaged word embeddingsCode0
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly PublicationsCode0
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical SubstitutionCode0
unimelb: Topic Modelling-based Word Sense InductionCode0
Word Sense Induction with Neural biLM and Symmetric PatternsCode0
An Evaluation Method for Diachronic Word Sense InductionCode0
How does BERT capture semantics? A closer look at polysemous wordsCode0
Context-Dependent Sense Embedding—0
A Unified Model for Word Sense Representation and Disambiguation—0
Applying cross-lingual WSD to wordnet development—0
Combining Lexical Substitutes in Neural Word Sense Induction—0
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction—0
Class-based Word Sense Induction for dot-type nominals—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
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages—0
Cross-lingual WSD for Translation Extraction from Comparable Corpora—0
An Evaluation of Graded Sense Disambiguation using Word Sense Induction—0
AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation—0
Inducing Word Sense with Automatically Learned Hidden Concepts—0
How much does a word weigh? Weighting word embeddings for word sense induction—0
Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space—0
BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection—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
Finding Individual Word Sense Changes and their Delay in Appearance—0
Boosting the Coverage of a Semantic Lexicon by Automatically Extracted Event Nominalizations—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
Graph-Based Induction of Word Senses in Croatian—0
Evaluating Unsupervised Ensembles when applied to Word Sense Induction—0
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings—0
Improved Estimation of Entropy for Evaluation of Word Sense Induction—0
Efficiency in Ambiguity: Two Models of Probabilistic Semantics for Natural Language—0
Towards Automatic Construction of Filipino WordNet: Word Sense Induction and Synset Induction Using Sentence Embeddings—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
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—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