Search Results for author: Anton Belyy

Found 9 papers, 3 papers with code

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI

no code implementations25 May 2022 Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias

Evaluating an explanation's faithfulness is desired for many reasons such as trust, interpretability and diagnosing the sources of model's errors.

counterfactual

Human Schema Curation via Causal Association Rule Mining

1 code implementation LREC (LAW) 2022 Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme

Event schemas are structured knowledge sources defining typical real-world scenarios (e. g., going to an airport).

InFillmore: Frame-Guided Language Generation with Bidirectional Context

no code implementations Joint Conference on Lexical and Computational Semantics 2021 Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme

We propose a structured extension to bidirectional-context conditional language generation, or "infilling," inspired by Frame Semantic theory (Fillmore, 1976).

Text Infilling

Script Induction as Association Rule Mining

no code implementations WS 2020 Anton Belyy, Benjamin Van Durme

We show that the count-based Script Induction models of Chambers and Jurafsky (2008) and Jans et al. (2012) can be unified in a general framework of narrative chain likelihood maximization.

Cloze Test

MEMOIR: Multi-class Extreme Classification with Inexact Margin

no code implementations24 Nov 2018 Anton Belyy, Aleksei Sholokhov

Multi-class classification with a very large number of classes, or extreme classification, is a challenging problem from both statistical and computational perspectives.

Classification General Classification +1

Towards Large-Scale Exploratory Search over Heterogeneous Sources

no code implementations15 Nov 2018 Mariia Seleznova, Anton Belyy, Aleksei Sholokhov

Since time immemorial, people have been looking for ways to organize scientific knowledge into some systems to facilitate search and discovery of new ideas.

Construction and Quality Evaluation of Heterogeneous Hierarchical Topic Models

1 code implementation7 Nov 2018 Anton Belyy

We evaluate this approach using the proposed measures and show that the proposed heterogeneous algorithm significantly outperforms the baseline concat approach.

Topic Models

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