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Generation

11,987 papers (2 classified directly here)

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Papers (including subtopics)

Compositional Task-Oriented Parsing as Abstractive Question Answering NAACL 2022 Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions EMNLP 2022 Conciseness: An Overlooked Language Task EMNLP 2022 CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval COLING 2022 Conditional Language Models for Community-Level Linguistic Variation EMNLP 2022 Conditional set generation using Seq2seq models EMNLP 2022 Confident Adaptive Language Modeling NeurIPS 2022 CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning NAACL 2022 ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence NAACL 2022 Confusion Detection for Adaptive Conversational Strategies of An Oral Proficiency Assessment Interview Agent Interspeech 2022 CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning EMNLP 2022 Consecutive Question Generation via Dynamic Multitask Learning EMNLP 2022 CONSISTENT: Open-Ended Question Generation From News Articles EMNLP 2022 Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization COLING 2022 Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation EMNLP 2022 Constructing Open Cloze Tests Using Generation and Discrimination Capabilities of Transformers ACL 2022 Construction of Hierarchical Structured Knowledge-based Recommendation Dialogue Dataset and Dialogue System ACL 2022 Construction Repetition Reduces Information Rate in Dialogue AACL 2022 CoNT: Contrastive Neural Text Generation NeurIPS 2022 Content Type Profiling of Data-to-Text Generation Datasets COLING 2022 Context-Aware Abbreviation Expansion Using Large Language Models NAACL 2022 Context-Aware Language Modeling for Goal-Oriented Dialogue Systems NAACL 2022 ContextGen: Targeted Data Generation for Low Resource Domain Specific Text Classification AISTATS 2022 Context Limitations Make Neural Language Models More Human-Like EMNLP 2022 Context-Tuning: Learning Contextualized Prompts for Natural Language Generation COLING 2022