ConstituencyTrees

material ID: constituencytrees

Related Papers

Translation with Source Constituency and Dependency Trees

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

We present a novel translation model, which simultaneously exploits the constituency and dependency trees on the source side, to com- bine the advantages of two types of trees. We take …...

34747

Discriminative Neural Sentence Modeling by Tree-Based Convolution

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

This paper proposes a tree-based con- volutional neural network (TBCNN) for discriminative sentence modeling. Our model leverages either constituency trees or dependency trees of sentences. The tree-based convolution process extracts …...

34268

Contemplata, a Free Platform for Constituency Treebank Annotation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes Contemplata, an annotation platform that offers a generic solution for treebank building as well as treebank enrichment with relations between syntactic nodes. Contemplata is dedicated to the …...

13279

Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractTransformer-based pre-trained language models (PLMs) have dramatically improved the state of the art in NLP across many tasks. This has led to substantial interest in analyzing the syntactic knowledge PLMs …...

408

On the Branching Bias of Syntax Extracted from Pre-trained Language Models

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractMany efforts have been devoted to extracting constituency trees from pre-trained language models, often proceeding in two stages: feature definition and parsing. However, this kind of methods may suffer from …...

29657

A Learning-Based Dependency to Constituency Conversion Algorithm for the Turkish Language

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis study aims to create the very first dependency-to-constituency conversion algorithm optimised for Turkish language. For this purpose, a state-of-the-art morphologic analyser and a feature-based machine learning model was used. …...

14757

Syntactic Multi-view Learning for Open Information Extraction

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractOpen Information Extraction (OpenIE) aims to extract relational tuples from open-domain sentences. Traditional rule-based or statistical models were developed based on syntactic structure of sentence, identified by syntactic parsers. However, …...

31048