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Found 20 papers, 5 papers with code
Span-Based LCFRS-2 Parsing
Concretely, by using a grammar formalism to restrict the space of possible trees we can use dynamic programming parsing algorithms for exact search for the most probable tree.
Max-Margin Incremental CCG Parsing
Incremental syntactic parsing has been an active research area both for cognitive scientists trying to model human sentence processing and for NLP researchers attempting to combine incremental parsing with language modelling for ASR and MT.
CCG Parsing Algorithm with Incremental Tree Rotation
The main obstacle to incremental sentence processing arises from right-branching constituent structures, which are present in the majority of English sentences, as well as optional constituents that adjoin on the right, such as right adjuncts and right conjuncts.
The Active-Filler Strategy in a Move-Eager Left-Corner Minimalist Grammar Parser
Recent psycholinguistic evidence suggests that human parsing of moved elements is {`}active{'}, and perhaps even {`}hyper-active{'}: it seems that a leftward-moved object is related to a verbal position rapidly, perhaps even before the transitivity information associated with the verb is available to the listener.
A Sound and Complete Left-Corner Parsing for Minimalist Grammars
This paper presents a left-corner parser for minimalist grammars.
Neural Discontinuous Constituency Parsing
One of the most pressing issues in discontinuous constituency transition-based parsing is that the relevant information for parsing decisions could be located in any part of the stack or the buffer.
Alternative Objective Functions for Training MT Evaluation Metrics
MT evaluation metrics are tested for correlation with human judgments either at the sentence- or the corpus-level.
Universal Reordering via Linguistic Typology
In this paper we explore the novel idea of building a single universal reordering model from English to a large number of target languages.
Hierarchical Permutation Complexity for Word Order Evaluation
Subsequently we define example tight metrics and empirically test them in word order evaluation.
