A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches
Not on the map. Why?
Abstract (arXiv)
Aspectual meaning refers to how the internal temporal structure of situations is presented. This includes whether a situation is described as a state or as an event, whether the situation is finished or ongoing, and whether it is viewed as a whole or with a focus on a particular phase. This survey gives an overview of computational approaches to modeling lexical and grammatical aspect along with intuitive explanations of the necessary linguistic concepts and terminology. In particular, we describe the concepts of stativity, telicity, habituality, perfective and imperfective, as well as influential inventories of eventuality and situation types. We argue that because aspect is a crucial component of semantics, especially when it comes to reporting the temporal structure of situations in a precise way, future NLP approaches need to be able to handle and evaluate it systematically in order to achieve human-level language understanding.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 23 of its 160 references that are in the map. First posted on arXiv 18 Aug 2022.
Builds on
23 of 160 references.
References · 23
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
- 2020Longformer: The Long-Document Transformercited by 3,362
- 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,801
- 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,772
- 2015A large annotated corpus for learning natural language inferencecited by 1,837
- 2014On the Properties of Neural Machine Translation: Encoder-Decoder Approachescited by 1,303
- 2019"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understandingcited by 121
- 201975 Languages, 1 Model: Parsing Universal Dependencies Universallycited by 90
- 2019Pretrained Language Models for Sequential Sentence Classificationcited by 53
11 more
- 2021Paradigm Shift in Natural Language Processingcited by 39
- 2020To Test Machine Comprehension, Start by Defining Comprehensioncited by 31
- 2020(Re)construing Meaning in NLPcited by 16
- 2017Zero-Shot Activity Recognition with Verb Attribute Inductioncited by 15
- 2020Improving Event Duration Prediction via Time-aware Pre-trainingcited by 13
- 2019Decomposing Generalization: Models of Generic, Habitual, and Episodic Statementscited by 10
- 2020Data Augmentation for Hypernymy Detectioncited by 7
- 2021Decomposing and Recomposing Event Structurecited by 5
- 2020Aspectuality Across Genre: A Distributional Semantics Approachcited by 4
- 2018Building Context-aware Clause Representations for Situation Entity Type Classificationcited by 3
- 2021Discriminative and Generative Transformer-based Models For Situation Entity Classificationcited by 2
Built on by
Citing papers per year: 2025: 2; 2026: 3.
5 papers.
- 2025Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challengescited by 31
- 2025Dynamic Relation Inference via Verb Embeddingscited by 0
- 2026Enhancing Structured Meaning Representations with Aspect Classificationcited by 0
- 2026A Scalable Tool for Measuring Manner and Result Verbs in Developmental Language Researchcited by 0
- 2026Modeling the Developmental Shift in Telicity Acquisitioncited by 0
- 2026Modeling the Developmental Shift in Telicity Acquisition16 Sep 2026
- 2026A Scalable Tool for Measuring Manner and Result Verbs in Developmental Language Research15 May 2026
- 2026Enhancing Structured Meaning Representations with Aspect Classification25 Mar 2026
- 2025Dynamic Relation Inference via Verb Embeddings17 Mar 2025
- 2025Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges17 Feb 2025