Word Sense Induction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (107 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Breaking Sticks and Ambiguities with Adaptive Skip-gram
  25 Feb 2015 3 repositories listed
  Recently proposed Skip-gram model is a powerful method for learning high-dimensional word representations that capture rich semantic relationships between words.
• RuDSI: graph-based word sense induction dataset for Russian
  28 Sep 2022 2 repositories listed
  We present RuDSI, a new benchmark for word sense induction (WSI) in Russian.
• Towards better substitution-based word sense induction
  29 May 2019 2 repositories listed
  Word sense induction (WSI) is the task of unsupervised clustering of word usages within a sentence to distinguish senses.
• A Simple Approach to Learn Polysemous Word Embeddings
  6 Jul 2017 2 repositories listed
  Evaluating these methods is also problematic, as rigorous quantitative evaluations in this space is limited, especially when compared with single-sense embeddings.
• A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change
  19 Feb 2024 1 repository listed
  Our evaluation is performed across different languages on eight available benchmarks for LSC, and shows that (i) APD outperforms other approaches for GCD; (ii) XL-LEXEME outperforms other contextualized models for WiC,…
• Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications
  19 Dec 2022 1 repository listed
  Scholarly text is often laden with jargon, or specialized language that can facilitate efficient in-group communication within fields but hinder understanding for out-groups.
• Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution
  7 Jun 2022 1 repository listed
  Lexical substitution, i.
• PolyLM: Learning about Polysemy through Language Modeling
  25 Jan 2021 1 repository listed
  To avoid the "meaning conflation deficiency" of word embeddings, a number of models have aimed to embed individual word senses.
• An Evaluation Method for Diachronic Word Sense Induction
  1 Nov 2020 1 repository listed
  The task of Diachronic Word Sense Induction (DWSI) aims to identify the meaning of words from their context, taking the temporal dimension into account.
• How does BERT capture semantics? A closer look at polysemous words
  1 Nov 2020 1 repository listed
  The recent paradigm shift to contextual word embeddings has seen tremendous success across a wide range of down-stream tasks.
• UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses
  18 Oct 2020 1 repository listed
  Much as the social landscape in which languages are spoken shifts, language too evolves to suit the needs of its users.
• AutoSense Model for Word Sense Induction
  22 Nov 2018 1 repository listed
  Thus, we aim to eliminate these requirements and solve the sense granularity problem by proposing AutoSense, a latent variable model based on two observations: (1) senses are represented as a distribution over topics,…
• Word Sense Induction with Neural biLM and Symmetric Patterns
  26 Aug 2018 1 repository listed
  An established method for Word Sense Induction (WSI) uses a language model to predict probable substitutes for target words, and induces senses by clustering these resulting substitute vectors.
• Russian word sense induction by clustering averaged word embeddings
  6 May 2018 1 repository listed
  The paper reports our participation in the shared task on word sense induction and disambiguation for the Russian language (RUSSE-2018).
• Improved Word Representation Learning with Sememes
  1 Jul 2017 1 repository listed
  The key idea is to utilize word sememes to capture exact meanings of a word within specific contexts accurately.
• Watset: Automatic Induction of Synsets from a Graph of Synonyms
  24 Apr 2017 1 repository listed
  This paper presents a new graph-based approach that induces synsets using synonymy dictionaries and word embeddings.
• Automated WordNet Construction Using Word Embeddings
  1 Apr 2017 1 repository listed
  To evaluate our method we construct two 600-word testsets for word-to-synset matching in French and Russian using native speakers and evaluate the performance of our method along with several other recent approaches.
• unimelb: Topic Modelling-based Word Sense Induction
  1 Jun 2013 1 repository listed
• Exploring Topic Coherence over Many Models and Many Topics
  1 Jul 2012 1 repository listed