Papers › A Game Theoretic Approach to Class-wise Selective Rationalization

A Game Theoretic Approach to Class-wise Selective Rationalization

28 Oct 2019NeurIPS 2019 12arXiv:1910.12853archive 2025-07-28

Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola

Selection of input features such as relevant pieces of text has become a common technique of highlighting how complex neural predictors operate. The selection can be optimized post-hoc for trained models or incorporated directly into the method itself (self-explaining). However, an overall selection does not properly capture the multi-faceted nature of useful rationales such as pros and cons for decisions. To this end, we propose a new game theoretic approach to class-dependent rationalization, where the method is specifically trained to highlight evidence supporting alternative conclusions. Each class involves three players set up competitively to find evidence for factual and counterfactual scenarios. We show theoretically in a simplified scenario how the game drives the solution towards meaningful class-dependent rationales. We evaluate the method in single- and multi-aspect sentiment classification tasks and demonstrate that the proposed method is able to identify both factual (justifying the ground truth label) and counterfactual (countering the ground truth label) rationales consistent with human rationalization. The code for our method is publicly available.

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compute_accuracy code-terminator/classwise_rationale/core/metric.py official repository unverified MIT (permissive) · d51408db9fe03765 · report
convert_examples_to_np_arrays code-terminator/classwise_rationale/core/dataset.py official repository unverified MIT (permissive) · 8a5023e52b3d6ec4 · report
convert_single_text code-terminator/classwise_rationale/core/dataset.py official repository unverified MIT (permissive) · 1e043afa08ce8df4 · report
gen_nl_loss code-terminator/classwise_rationale/core/train_utils.py official repository unverified MIT (permissive) · f51cebce245437f5 · report
get_beer_annotation code-terminator/classwise_rationale/core/beer.py official repository unverified MIT (permissive) · 8c5c1b7e7a15baee · report
get_continuity_loss code-terminator/classwise_rationale/core/metric.py official repository unverified MIT (permissive) · a7eb8a5f953da68c · report
get_pretained_glove code-terminator/classwise_rationale/core/language.py official repository unverified MIT (permissive) · 050a2b4050a56bde · report
get_sparsity_loss code-terminator/classwise_rationale/core/metric.py official repository unverified MIT (permissive) · 87d2f2d85e666498 · report
str2bool code-terminator/classwise_rationale/core/misc.py official repository unverified MIT (permissive) · a4ccf5f8dcd94d12 · report

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