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Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics
Dependency Trees Distributional Semantics
2017/4/6
We present a new framework for compositional distributional semantics in which the distributional
contexts of lexemes are expressed in terms of anchored packed dependency trees. We show
that these s...
Syntactic representations based on word-to-word dependencies have a long-standing tradition
in descriptive linguistics, and receive considerable interest in many applications. Nevertheless,
dependen...
Suppose we want to build a system that answers a natural language question by representing its
semantics as a logical form and computing the answer given a structured database of facts. The
core par...
Morphological and Syntactic Case in Statistical Dependency Parsing
Morphological and Syntactic Dependency Parsing
2015/9/11
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 pipe...
Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features
Standard Arabic Infl ectional Features
2015/9/11
We explore the contribution of lexical and inflectional morphology features to dependency
parsing of Arabic, a morphologically rich language with complex agreement patterns. Using controlled ex...
here has been a rapid increase in the volume of research on data-driven dependency parsers in
the past five years. This increase has been driven by the availability of treebanks in a wide varie...
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
Part-of-Speech Tagging Cyclic Dependency Network
2015/6/12
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation, (ii) broad use of l...
Corpus-Based Induction of Syntactic Structure:Models of Dependency and Constituency
Corpus-Based Induction Syntactic Structure Dependency and Constituency
2015/6/12
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of linear constituency. The ...
Generating Typed Dependency Parses from Phrase Structure Parses
Dependency Parses Phrase Structure
2015/6/12
This paper describes a system for extracting typed dependency parses of English sentences from phrase structure parses. In order to capture inherent relations occurring in corpus texts that can be cri...
Punctuation:Making a Point in Unsupervised Dependency Parsing
Punctuation Unsupervised Dependency Parsing
2015/6/10
We show how punctuation can be used to improve unsupervised dependency parsing. Our linguistic analysis confirms the strong connection between English punctuation and phrase boundaries in the Penn Tre...
Lateen EM: Unsupervised Training with Multiple Objectives,Applied to Dependency Grammar Induction
Lateen EM Unsupervised Training Multiple Objectives Dependency Grammar Induction
2015/6/10
We present new training methods that aim to mitigate local optima and slow convergence in unsupervised training by using additional imperfect objectives. In its simplest form, lateen EM alternates bet...
Capitalization Cues Improve Dependency Grammar Induction
Capitalization Cues Grammar Induction
2015/6/10
We show that orthographic cues can be helpful for unsupervised parsing. In the Penn Treebank, transitions between upper- and lowercase tokens tend to align with the boundaries of base (English) noun p...
Unsupervised Dependency Parsing without Gold Part-of-Speech Tags
Unsupervised Dependency Parsing Gold Part Speech Tags
2015/6/10
We show that categories induced by unsupervised word clustering can surpass the performance of gold part-of-speech tags in dependency grammar induction. Unlike classic clustering algorithms, our metho...
Three Dependency-and-Boundary Models for Grammar Induction
Three Dependency Boundary Models Grammar Induction
2015/6/10
We present a new family of models for unsupervised parsing, Dependency and Boundary models, that use cues at constituent boundaries to inform head-outward dependency tree generation. We build on three...
Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models
Dependency Grammar Induction Unsupervised Dependency Parsing Curriculum Learning Partial EM Punctuation Unsupervised Structure Learning
2015/6/10
Modern grammar induction systems often employ curriculum learning strategies that begin by training on a subset of all available input that is considered simpler than the full data. Traditionally, fil...