{"total":19,"rows":[{"id":"2104.08142","title":"Supervising Model Attention with Human Explanations for Robust Natural Language Inference","created":"2021-04-16","cited_by_count":29,"area":null},{"id":"2110.10470","title":"Interpreting Deep Learning Models in Natural Language Processing: A Review","created":"2021-10-20","cited_by_count":19,"area":null},{"id":"2111.10097","title":"Lexicon-based Methods vs. BERT for Text Sentiment Analysis","created":"2021-11-19","cited_by_count":4,"area":null},{"id":"2504.16188","title":"FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking","created":"2025-04-22","cited_by_count":3,"area":null},{"id":"2209.13877","title":"YATO: Yet Another deep learning based Text analysis Open toolkit","created":"2022-09-28","cited_by_count":2,"area":null},{"id":"2310.16753","title":"PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction","created":"2023-10-25","cited_by_count":2,"area":null},{"id":"2401.00779","title":"Temporal Validity Change Prediction","created":"2024-01-01","cited_by_count":2,"area":null},{"id":"2405.14437","title":"Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models","created":"2024-05-23","cited_by_count":2,"area":null},{"id":"2409.07423","title":"Enhancing adversarial robustness in Natural Language Inference using explanations","created":"2024-09-11","cited_by_count":2,"area":null},{"id":"2502.09567","title":"MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing","created":"2025-02-13","cited_by_count":2,"area":null},{"id":"2209.06344","title":"CNN-Trans-Enc: A CNN-Enhanced Transformer-Encoder On Top Of Static BERT representations for Document Classification","created":"2022-09-13","cited_by_count":1,"area":null},{"id":"2212.07428","title":"Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference","created":"2022-12-14","cited_by_count":1,"area":null},{"id":"2502.20682","title":"Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2504.02064","title":"From Text to Graph: Leveraging Graph Neural Networks for Enhanced Explainability in NLP","created":"2025-04-02","cited_by_count":1,"area":null},{"id":"2106.14434","title":"Current Landscape of the Russian Sentiment Corpora","created":"2021-06-28","cited_by_count":0,"area":null},{"id":"2109.07867","title":"Humanly Certifying Superhuman Classifiers","created":"2021-09-16","cited_by_count":0,"area":null},{"id":"2402.09666","title":"EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion","created":"2024-02-15","cited_by_count":0,"area":null},{"id":"2601.05170","title":"Reverse-engineering NLI: A study of the meta-inferential properties of Natural Language Inference","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2605.09838","title":"The Association of Transformer-based Sentiment Analysis with Symptom Distress and Deterioration in Routine Psychotherapy Care","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}