Tense Manages to Predict Implicative Behavior in Verbs

By Ellie Pavlick, Chris Callison-Burch. 2016

8 citations recorded by the source corpus.

Implicative verbs (e.g. manage ) entail their complement clauses, while non-implicative verbs (e

Subfields: Artificial Intelligence, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ellie Pavlick
2. Tal Linzen
3. Samuel R. Bowman
4. Yonatan Belinkov
5. R. Thomas McCoy
6. Benjamin Van Durme
7. Rachel Rudinger
8. Aaron Steven White

In Natural Language Processing

1. Ellie Pavlick
2. Tal Linzen
3. R. Thomas McCoy
4. Rachel Rudinger
5. Benjamin Van Durme
6. Samuel R. Bowman
7. Yonatan Belinkov
8. Aaron Steven White

Citations in the corpus

• Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference (2019, background): “Several past works (Pavlick and Callison-Burch, 2016; Rudinger et al., 2018; White et al., 2018; White and Rawlins, 2018) have studied such behavior for verbs (e.”
• Neural Models of Factuality (2018, methodology): “Mined features Using a simplified set of pattern matching rules over Common Crawl data (Buck et al., 2014), we follow the insights of Pavlick and Callison-Burch (2016) – henceforth, PC – and use corpus mining to automatically score verbs for im-plicativeness.”