Description
Enhanced Sequential Inference Model or ESIM is a sequential NLI model proposed in Enhanced LSTM for Natural Language Inference paper.
Papers Using This Method
LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation2024-11-14FarsTail: A Persian Natural Language Inference Dataset2020-09-18L2R2: Leveraging Ranking for Abductive Reasoning2020-05-22Improving Natural Language Inference with a Pretrained Parser2019-09-18MSIT\_SRIB at MEDIQA 2019: Knowledge Directed Multi-task Framework for Natural Language Inference in Clinical Domain.2019-08-01Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems2019-07-11Evaluating Coherence in Dialogue Systems using Entailment2019-04-06Attention Boosted Sequential Inference Model2018-12-05Building Sequential Inference Models for End-to-End Response Selection2018-12-03pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference2018-10-20GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension task2018-06-01Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus2018-02-07Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference2017-12-30Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks2016-10-31Enhanced LSTM for Natural Language Inference2016-09-20