{"url":"/method/esim","slug":"esim","name":"ESIM","full_name":"Enhanced Sequential Inference Model","full_name_withheld":false,"description_markdown":"**Enhanced Sequential Inference Model** or **ESIM** is a sequential NLI model proposed in [Enhanced LSTM for Natural Language Inference](https://www.aclweb.org/anthology/P17-1152) paper.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Enhanced LSTM for Natural Language Inference","paper":"/paper/enhanced-lstm-for-natural-language-inference","first_author":"Qian Chen","n_authors":6,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/enhanced-lstm-for-natural-language-inference"},"source":{"url":"http://arxiv.org/abs/1609.06038v3","title":"Enhanced LSTM for Natural Language Inference","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Sequential","area_id":"sequential","collection":"Sequence To Sequence Models","url":"/methods/category/sequence-to-sequence-models","pwc_aliases":[]}],"n_papers_tagged":15,"archive_num_papers":15,"papers_newest_first":[{"paper":null,"title":"LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation","date":"2024-11-14","arxiv_id":"2411.09410","n_code_links":0,"syntology":null},{"paper":"/paper/farstail-a-persian-natural-language-inference","title":"FarsTail: A Persian Natural Language Inference Dataset","date":"2020-09-18","arxiv_id":"2009.08820","n_code_links":1,"syntology":null},{"paper":"/paper/l2r2-leveraging-ranking-for-abductive","title":"L2R2: Leveraging Ranking for Abductive Reasoning","date":"2020-05-22","arxiv_id":"2005.11223","n_code_links":1,"syntology":null},{"paper":"/paper/improving-natural-language-inference-with-a","title":"Improving Natural Language Inference with a Pretrained Parser","date":"2019-09-18","arxiv_id":"1909.08217","n_code_links":1,"syntology":null},{"paper":null,"title":"MSIT\\_SRIB at MEDIQA 2019: Knowledge Directed Multi-task Framework for Natural Language Inference in Clinical Domain.","date":"2019-08-01","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"title":"Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems","date":"2019-07-11","arxiv_id":"1907.05792","n_code_links":0,"syntology":null},{"paper":"/paper/evaluating-coherence-in-dialogue-systems","title":"Evaluating Coherence in Dialogue Systems using Entailment","date":"2019-04-06","arxiv_id":"1904.03371","n_code_links":1,"syntology":{"ran":2,"of":2,"unverified":0,"pointer_only":1}},{"paper":"/paper/attention-boosted-sequential-inference-model","title":"Attention Boosted Sequential Inference Model","date":"2018-12-05","arxiv_id":"1812.01840","n_code_links":0,"syntology":null},{"paper":"/paper/building-sequential-inference-models-for-end","title":"Building Sequential Inference Models for End-to-End Response Selection","date":"2018-12-03","arxiv_id":"1812.00686","n_code_links":1,"syntology":null},{"paper":"/paper/pair2vec-compositional-word-pair-embeddings","title":"pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference","date":"2018-10-20","arxiv_id":"1810.08854","n_code_links":3,"syntology":null},{"paper":"/paper/gist-at-semeval-2018-task-12-a-network","title":"GIST at SemEval-2018 Task 12: A network transferring inference knowledge to Argument Reasoning Comprehension task","date":"2018-06-01","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/enhance-word-representation-for-out-of","title":"Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus","date":"2018-02-07","arxiv_id":"1802.02614","n_code_links":1,"syntology":null},{"paper":"/paper/compare-compress-and-propagate-enhancing","title":"Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference","date":"2017-12-30","arxiv_id":"1801.00102","n_code_links":0,"syntology":null},{"paper":"/paper/meta-path-guided-embedding-for-similarity","title":"Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks","date":"2016-10-31","arxiv_id":"1610.09769","n_code_links":1,"syntology":null},{"paper":"/paper/enhanced-lstm-for-natural-language-inference","title":"Enhanced LSTM for Natural Language Inference","date":"2016-09-20","arxiv_id":"1609.06038","n_code_links":12,"syntology":null}],"papers_shown":15,"tasks":[{"task":"/task/natural-language-inference","name":"Natural Language Inference","papers":9},{"task":"/task/sentence","name":"Sentence","papers":3},{"task":"/task/common-sense-reasoning","name":"Common Sense Reasoning","papers":2},{"task":"/task/representation-learning","name":"Representation Learning","papers":2},{"task":"/task/transfer-learning","name":"Transfer Learning","papers":2},{"task":"/task/word-embeddings","name":"Word Embeddings","papers":2},{"task":"/task/conversational-response-selection","name":"Conversational Response Selection","papers":1},{"task":"/task/descriptive","name":"Descriptive","papers":1},{"task":"/task/dialogue-evaluation","name":"Dialogue Evaluation","papers":1},{"task":"/task/diversity","name":"Diversity","papers":1},{"task":"/task/goal-oriented-dialog","name":"Goal-Oriented Dialog","papers":1},{"task":"/task/language-modelling","name":"Language Modelling","papers":1},{"task":"/task/learning-to-rank","name":"Learning-To-Rank","papers":1},{"task":"/task/multi-task-learning","name":"Multi-Task Learning","papers":1},{"task":"/task/multiple-choice","name":"Multiple-choice","papers":1},{"task":"/task/open-domain-dialog","name":"Open-Domain Dialog","papers":1},{"task":"/task/recommendation-systems","name":"Recommendation Systems","papers":1},{"task":"/task/retrieval","name":"Retrieval","papers":1},{"task":"/task/sequential-recommendation","name":"Sequential Recommendation","papers":1},{"task":"/task/model","name":"model","papers":1}],"tasks_shown":20,"n_tasks":20,"usage_by_year":[{"year":"2016","papers":2},{"year":"2017","papers":1},{"year":"2018","papers":5},{"year":"2019","papers":4},{"year":"2020","papers":2},{"year":"2024","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/esim"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}