Papers › NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning

NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning

29 May 2021Joint Conference on Lexical and Computational Semantics 2021arXiv:2105.14167archive 2025-07-28

Zeming Chen, Qiyue Gao, Lawrence S. Moss

Deep learning (DL) based language models achieve high performance on various benchmarks for Natural Language Inference (NLI). And at this time, symbolic approaches to NLI are receiving less attention. Both approaches (symbolic and DL) have their advantages and weaknesses. However, currently, no method combines them in a system to solve the task of NLI. To merge symbolic and deep learning methods, we propose an inference framework called NeuralLog, which utilizes both a monotonicity-based logical inference engine and a neural network language model for phrase alignment. Our framework models the NLI task as a classic search problem and uses the beam search algorithm to search for optimal inference paths. Experiments show that our joint logic and neural inference system improves accuracy on the NLI task and can achieve state-of-art accuracy on the SICK and MED datasets.

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annotation2string eric11eca/NeuralLog/src/Chunker.py official repository unverified MIT (permissive) · eacca99ab9d035dd · report
btree2list eric11eca/NeuralLog/src/Udep2Mono/util.py official repository unverified MIT (permissive) · 21ee5796d74e5038 · report
det_type eric11eca/NeuralLog/src/Udep2Mono/util.py official repository unverified MIT (permissive) · 119fba77eaae9349 · report
find_relation eric11eca/NeuralLog/src/wordnet.py official repository unverified MIT (permissive) · 3e075e3931de1b1c · report
get_word_sets eric11eca/NeuralLog/src/wordnet.py official repository unverified MIT (permissive) · d746765b60497e0e · report
post_process eric11eca/NeuralLog/src/udify_parser.py official repository unverified MIT (permissive) · 0d1a2a05ca2c64f9 · report

Tasks

Deep LearningLanguage ModelingLanguage ModellingLogical ReasoningNatural Language Inference

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Natural Language Inference MED NeuralLog 1:1 Accuracy 0.934 #1 of 1 Archive leaderboard report
Natural Language Inference SICK NeuralLog 1:1 Accuracy 0.903 #1 of 1 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

ALBERTBERTSoftmax

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