Despite the success of sequence-to-sequence (seq2seq) models in semantic parsing,
recent work has shown that they fail in compositional generalization, ie, the ability to …

This paper reports on the first shared task on statistical parsing of morphologically rich lan-
guages (MRLs). The task features data sets from nine languages, each available both in …

If only it were possible to develop automated and trainable neural systems that could justify
their behavior in a way that could be interpreted by humans like a symbolic system. The field …

We reduce phrase-representation parsing to dependency parsing. Our reduction is
grounded on a new intermediate representation," head-ordered dependency trees", shown …

We introduce a novel chart-based algorithm for span-based parsing of discontinuous
constituency trees of block degree two, including ill-nested structures. In particular, we show …

This paper presents the first efficient implementation of a weighted deductive CYK parser for
Probabilistic Linear Context-Free Rewriting Systems (PLCFRSs). LCFRS, an extension of …

Statistical parsers are e ective but are typically limited to producing projective dependencies
or constituents. On the other hand, linguisti-cally rich parsers recognize non-local relations …

We address unsupervised discontinuous constituency parsing, where we observe a high
variance in the performance of the only previous model in the literature. We propose to build …

The earliest models for discontinuous constituency parsers used mildly context-sensitive
grammars, but the fashion has changed in recent years to grammar-less transition-based …

Discontinuous Incremental Shift-reduce Parsing Page 1 Proceedings of the 53rd Annual Meeting
of the Association for Computational Linguistics and the 7th International Joint Conference on …