Тәуелді синтаксис

otherentity ID: dependencysyntax

Related Papers

A Chinese Dependency Syntax for Treebanking

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

. This paper presents a Chinese dependency syntax for treebanking. The syntax contains 13 word classes and 34 dependency types. A format of treebank based on the syntax is also …...

19535

LTH: Semantic Structure Extraction using Nonprojective Dependency Trees

Authors: nan

Publication: TIPSTER (2007)

DOI: nan

We describe our contribution to the SemEval task on Frame-Semantic Structure Extrac- tion. Unlike most previous systems de- scribed in literature, ours is based on depen- dency syntax. We also …...

23329

Semantic Role Labeling Tools Trained on the Cast3LB-CoNNL-SemRol Corpus

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

AbstractIn this paper we present the Cast3LB-CoNLL-SemRol corpus, currently the only corpus of Spanish annotated with dependency syntax and semantic roles, and the tools that have been trained on the …...

7607

Dependency-based Analysis for Tagalog Sentences

Authors: nan

Publication: TIPSTER (2011)

DOI: nan

. Interest in dependency parsing increased because of its efficiency to represent languages with flexible word order. Many research have applied dependency-based syntactic analysis to different languages and results vary …...

18800

Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Structured perceptron becomes popular for various NLP tasks such as tagging and parsing. Practical studies on NLP did not pay much attention to its regularization. In this paper, we study …...

43574

Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractThis article presents the results we obtained on a complex annotation task (that of dependency syntax) using a specifically designed Game with a Purpose, ZombiLingo. We show that with suitable …...

3719

UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractAutomatic natural language processing of large texts often presents recurring challenges in multiple languages: even for most advanced tasks, the texts are first processed by basic processing steps – from …...

14750

Creating POS Tagging and Dependency Parsing Experts via Topic Modeling

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractPart of speech (POS) taggers and dependency parsers tend to work well on homogeneous datasets but their performance suffers on datasets containing data from different genres. In our current work, …...

43145

Neural Joint Model for Transition-based Chinese Syntactic Analysis

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractWe present neural network-based joint models for Chinese word segmentation, POS tagging and dependency parsing. Our models are the first neural approaches for fully joint Chinese analysis that is known …...

40007

BKTreebank: Building a Vietnamese Dependency Treebank

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

Dependency treebank is an important resource in any language. In this paper, we present our work on building BKTreebank, a dependency treebank for Vietnamese. Important points on designing POS tagset, …...

17679

ForFun 1.0: Prague Database of Forms and Functions – An Invaluable Resource for Linguistic Research

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

In this paper, we introduce the first version of ForFun, Prague Database of Forms and Functions, as an invaluable resource for profound linguistic research, particularly in describing syntactic functions and …...

17271

Reinforced Training Data Selection for Domain Adaptation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractSupervised models suffer from the problem of domain shifting where distribution mismatch in the data across domains greatly affect model performance. To solve the problem, training data selection (TDS) has …...

39771

Adaptation of Deep Bidirectional Transformers for Afrikaans Language

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe recent success of pretrained language models in Natural Language Processing has sparked interest in training such models for languages other than English. Currently, training of these models can either …...

15061

OFrLex: A Computational Morphological and Syntactic Lexicon for Old French

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this paper we describe our work on the development and enrichment of OFrLex, a freely available, large-coverage morphological and syntactic Old French lexicon. We rely on several heterogeneous language …...

14794

Attention Can Reflect Syntactic Structure (If You Let It)

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractSince the popularization of the Transformer as a general-purpose feature encoder for NLP, many studies have attempted to decode linguistic structure from its novel multi-head attention mechanism. However, much of …...

42554

Étude des dépendances syntaxiques non projectives en français [Study of non-projective dependencies in French]

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

. This paper presents the results of a mathematical and linguistic study of non- projective syntactic dependencies in French corpora annotated according to two dependency syntax formats: Universal Dependencies (UD) …...

1643

On the Sensitivity and Stability of Model Interpretations in NLP

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecent years have witnessed the emergence of a variety of post-hoc interpretations that aim to uncover how natural language processing (NLP) models make predictions. Despite the surge of new interpretation …...

39190

Extracting Victim Counts from Text

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractDecision-makers in the humanitarian sector rely on timely and exact information during crisis events. Knowing how many civilians were injured during an earthquake is vital to allocate aids properly. Information …...

42947