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09/23/2022
Best Prompts for Text-to-Image Models and How to Find Them
Recent progress in generative models, especially in text-guided diffusio...
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09/21/2022
Clustering Without Knowing How To: Application and Evaluation
Crowdsourcing allows running simple human intelligence tasks on a large ...
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10/28/2021
IMDB-WIKI-SbS: An Evaluation Dataset for Crowdsourced Pairwise Comparisons
Today, comprehensive evaluation of large-scale machine learning models i...
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09/17/2021
A General-Purpose Crowdsourcing Computational Quality Control Toolkit for Python
Quality control is a crux of crowdsourcing. While most means for quality...
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07/02/2021
Vox Populi, Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription
Domain-specific data is the crux of the successful transfer of machine l...
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03/14/2020
Word Sense Disambiguation for 158 Languages using Word Embeddings Only
Disambiguation of word senses in context is easy for humans, but is a ma...
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05/05/2019
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings
We present our system for semantic frame induction that showed the best ...
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09/17/2018
Unsupervised Sense-Aware Hypernymy Extraction
In this paper, we show how unsupervised sense representations can be use...
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08/20/2018
Local-Global Graph Clustering with Applications in Sense and Frame Induction
We present Watset, a new meta-algorithm for fuzzy graph clustering. This...
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05/12/2018
Unsupervised Semantic Frame Induction using Triclustering
We use dependency triples automatically extracted from a Web-scale corpu...
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04/27/2018
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages
In this paper, we present Watasense, an unsupervised system for word sen...
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03/15/2018
RUSSE: The First Workshop on Russian Semantic Similarity
The paper gives an overview of the Russian Semantic Similarity Evaluatio...
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03/15/2018
RUSSE'2018: A Shared Task on Word Sense Induction for the Russian Language
The paper describes the results of the first shared task on word sense i...
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11/08/2017
Improving Hypernymy Extraction with Distributional Semantic Classes
In this paper, we show for the first time how distributionally-induced s...
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08/31/2017
Human and Machine Judgements for Russian Semantic Relatedness
Semantic relatedness of terms represents similarity of meaning by a nume...
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08/30/2017
Fighting with the Sparsity of Synonymy Dictionaries
Graph-based synset induction methods, such as MaxMax and Watset, induce ...
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07/21/2017
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
Interpretability of a predictive model is a powerful feature that gains ...
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07/12/2017
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning
We present a new approach to extraction of hypernyms based on projection...
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04/24/2017