otherentity ID: telicity

Related Papers

Beyond Telicity and Affected-Theme : Semantic Factors Contributing to the Resultative Interpretation of Predicates in Japanese

Authors: nan

Publication: TIPSTER (1996)

DOI: nan

This paper discusses semantic factors contributing to the resultative interpretation of predicates in the Japanese te-ir construction. The construction ambiguously takes on either progressive or resultative meanings. This ambiguity is …...

286

Deriving Verbal and Compositonal Lexical Aspect for NLP Applications

Authors: nan

Publication: TIPSTER (1997)

DOI: nan

Verbal and compositional lexical aspect provide the underlying temporal struc- ture of events. Knowledge of lexical as- pect, e.g., (a)telicity, is therefore required for interpreting event sequences in dis- course …...

43893

A Comparative Study on the Aspectual Classification of Korean and Japanese Verbs in Relation to ‘-ess-’ ‘-essess-’ in Korean and ‘sudeni’in Japanese

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

. This paper deals with an aspectual classification of Korean and Japanese verbs based on Vendler (1967). Both of Korean and Japanese verbs are classified into 12 distinctive aspectual categories …...

19010

Change of Location and Change of State: How Telicity is Attained

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

. This paper basically discusses parallels between change of location (or space) and change of state. Change of state is analogous to change of location, involving an abstract state Source …...

18921

Aspectuality Across Genre: A Distributional Semantics Approach

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe interpretation of the lexical aspect of verbs in English plays a crucial role in tasks such as recognizing textual entailment and learning discourse-level inferences. We show that two elementary …...

3962

Who did what to Whom? Language models and humans respond diversely to features affecting argument hierarchy construction

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractPre-trained transformer-based language models have achieved state-of-the-art performance in many areas of NLP. It is still an open question whether the models are capable of integrating syntax and semantics in …...

585