We present a puristic approach for combining dependency parsing and semantic role labeling. In a first step, a data-driven strict incremental deterministic parser is used to compute a single syntactic dependency structure using a MEM trained on the syntactic part of the CoNLL 2008 training corpus. In a second step, a cascade of MEMs is used to identify predicates, and, for each found predicate,...

We present a new method for the joint task of tagging and non-projective dependency parsing. We demonstrate its usefulness with an application to discontinuous phrase-structure parsing where decoding lexicalized spines and syntactic derivations is performed jointly. The main contributions of this paper are (1) a reduction from joint tagging and non-projective dependency parsing to the Generaliz...

Feature words are crucial clues for word sense disambiguation. There are two methods to select feature words: window-based and dependency-based methods. Both of them have some shortcomings, such as irrelevant noise words or paucity of feature words. In order to solve the problems of the existing methods, this paper proposes two methods to select feature words with syntactic parsing, which are b...

In this paper we demonstrate that it is possible to parse dependency structures deterministically in linear time using syntactic heuristic choices. We first prove theoretically that deterministic, linear parsing of dependency structures is possible under certain conditions. We then discuss a fully implemented parser and argue that those conditions hold for at least one natural language. Empiric...

This paper describes an e cient method of incremental dependency parsing based on phrase structure grammar with the dependency relation. The reachability relation between syntactic categories is utilized for connecting a head word with a dependent word simultaneously with the inputs. The method does not need to construct the whole parse tree of an initial fragment on the word-by-word basis, and...

We describe in this paper an approach for synchronous parsing of syntactic and semantic dependency structures that combines recent advances in the area to get a very high accuracy as well at the same time very good parsing times. The time for parsing, the time for training and the values of the memory footprint are to our knowledge the best results reported while the parsing accuracy are as hig...

Current semantic parsing systems either largely ignore the syntactic structure of the natural language input or attempt to learn highly underconstrained, noisy syntactic representations. We present two new classes of features for statistical semantic parsing that utilize information about syntactic structure, extracted from a dependency parse of an utterance, to score semantic parses for that u...

Copula constructions are problematic in the syntax of most languages. The paper describes three different dependency syntactic methods for handling copula constructions: function head, content head and complex label analysis. Furthermore, we also propose a POS-based approach to copula detection. We evaluate the impact of these approaches in computational parsing, in two parsing experiments for ...

This paper describes the annotation process and linguistic properties of the Persian syntactic dependency treebank. The treebank consists of approximately 30,000 sentences annotated with syntactic roles in addition to morpho-syntactic features. One of the unique features of this treebank is that there are almost 4800 distinct verb lemmas in its sentences making it a valuable resource for educat...

Most morphologically rich languages with free word order use case systems to mark the grammatical function of nominal elements, especially for the core argument functions of a verb. The standard pipeline approach in syntactic dependency parsing assumes a complete disambiguation of morphological (case) information prior to automatic syntactic analysis. Parsing experiments on Czech, German, and H...