Title: Advances in Deterministic Dependency Parsing
Speaker: Yoav Goldberg (Google)
Place: Science Center. Rm 4102, CUNY Graduate Center. 5th Ave & 34th St.

Abstract:

Transition-based dependency parsers are fast, surprisingly accurate and easy to
implement. However, many formal aspects of these parsing systems are not well
understood.  Specifically, little can be said about the effect of individual
parsing decisions on the global parse structure.  We help bridge this gap by
introducing a property which holds for many transition systems (including the
popular arc-eager system) and allows us to reason about the global effects of
individual parsing actions in these systems. This kind of reasoning paves the
path to many interesting applications.

I will describe two immediate applications: (1) a novel arc-constrained
decoding algorithm ("find a tree that includes the following edges") for
transition-based parsers, and (2) a novel oracle which can return a *set* of
optimal actions for *any* (configuration,gold-tree) pair, in sharp contrast to
traditional oracles that return a single, static sequence of transitions.  The
new oracles allows for a better training procedure which teaches the parser to
respond optimally to non-optimal configurations and helps in mitigating
error-propagation mistakes.  The new oracle and training procedure produce
greedy parsers that greatly outperform parsers trained with the traditional,
static oracles on a wide range of datasets.

This is a joint work with Joakim Nivre.

Bio:

Yoav Goldberg is a post-doctoral researcher at Google Research NY, working
primarily on syntactic parsing and its applications. Prior to that, he
completed his PhD in Ben Gurion University, where he worked with Prof. Michael
Elhadad on automatic processing of Modern Hebrew, a specimen of a
morphologically rich language.  He spent a summer at USC/ISI working on Machine
Translation with Kevin Knight, David Chiang and Liang Huang.  Coming February,
Yoav will leave Google to assume a Tenure-track senior-lecturer position
("assistant professorship") in Bar Ilan University's Computer Science
department.