Annotation of Tense and Aspect Semantics for Sentential AMR

Lucia E. Donatelli · Michael Regan · William Croft · Nathan Schneider

26 citations0/0 files storedInternational Conference on Computational Linguistics

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Syntax, Semantics, Linguistic Variation Natural Language Processing Techniques Topic Modeling

Abstract

Although English grammar encodes a number of semantic contrasts with tense and aspect marking, these semantics are currently ignored by Abstract Meaning Representation (AMR) annotations. This paper extends sentence-level AMR to include a coarse-grained treatment of tense and aspect semantics. The proposed framework augments the representation of finite predications to include a four-way temporal distinction (event time before, up to, at, or after speech time) and several aspectual distinctions (including static vs. dynamic, habitual vs. episodic, and telic vs. atelic). This will enable AMR to be used for NLP tasks and applications that require sophisticated reasoning about time and event structure.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 26 citations exist upstream.

References

1957Verbs and Times 1995English verb classes and alternations: A preliminary investigation. By Beth Levin. Chicago: University of Chicago Press, 1993. Pp. xviii, 345. Cloth $45.00, paper $18.95.1986The algebra of events 2012VerbsAspect and Causal Structure 2005Temporal Ontology and Temporal Reference 1994Time in language 1986The effects of aspectual class on the temporal structure of discourse: semantics or pragmatics?1986Temporal anaphora in discourses of english

Cited by

2020(Re)construing Meaning in NLP 2020Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.