Empty Category Detection With Joint Context-Label Embeddings

Pre- and In-Parsing Models for Neural Empty Category Detection

Motivated by the positive impact of empty category on syntactic parsing, we study neural models for pre- and in-parsing detection of empty category, which has not previously been investigated. We find several non-obvious…

Integrating empty category detection into preordering Machine Translation

We propose a method for integrating Japanese empty category detection into the preordering process of Japanese-to-English statistical machine translation. First, we apply machine-learning-based empty category detection t…

On true empty category

According to Chomsky (1981, 1986), empty categories consist of PRO, pro, trace, and variable. However, some empty object positions seem to be incompatible with extant empty categories. Given this, Li (2007a, 2007b, 2014)…

Dependency-based empty category detection via phrase structure trees

Empty Category Detection using Path Features and Distributed Case Frames