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Word Sense Induction
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Multilingual Substitution-based Word Sense Induction
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks
A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change
Word Sense Induction with Knowledge Distillation from BERT
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications
Word Sense Induction with Hierarchical Clustering and Mutual Information Maximization
RuDSI: graph-based word sense induction dataset for Russian
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution
Towards Automatic Construction of Filipino WordNet: Word Sense Induction and Synset Induction Using Sentence Embeddings
Topological Data Analysis for Word Sense Disambiguation
Large Scale Substitution-based Word Sense Induction
PolyLM: Learning about Polysemy through Language Modeling
Topology of Word Embeddings: Singularities Reflect Polysemy
UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses
Combining Neural Language Models for WordSense Induction
A Comparative Study of Lexical Substitution Approaches based on Neural Language Models
Towards better substitution-based word sense induction
Vector representations of text data in deep learning
AutoSense Model for Word Sense Induction
Word Sense Induction with Neural biLM and Symmetric Patterns
How much does a word weigh? Weighting word embeddings for word sense induction
Russian word sense induction by clustering averaged word embeddings
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings
Word sense induction using word embeddings and community detection in complex networks
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language
A Simple Approach to Learn Polysemous Word Embeddings
Watset: Automatic Induction of Synsets from a Graph of Synonyms
Sense Embedding Learning for Word Sense Induction
Breaking Sticks and Ambiguities with Adaptive Skip-gram
Navigating the Semantic Horizon using Relative Neighborhood Graphs
Semantic clustering of Russian web search results: possibilities and problems
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages
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