Search Results for author: Sara Stymne

Found 31 papers, 3 papers with code

Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation

no code implementations SEMEVAL 2021 Huiling You, Xingran Zhu, Sara Stymne

XLMR performs better than mBERT in the cross-lingual setting both with fine-tuning and feature extraction, whereas these two models give a similar performance in the multilingual setting.

Evaluating Word Embeddings for Indonesian--English Code-Mixed Text Based on Synthetic Data

no code implementations LREC 2020 Arra{'}Di Nur Rizal, Sara Stymne

Code-mixed texts are abundant, especially in social media, and poses a problem for NLP tools, which are typically trained on monolingual corpora.

Sentiment Analysis Word Embeddings

What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?

1 code implementation18 Jul 2019 Miryam de Lhoneux, Sara Stymne, Joakim Nivre

We find that the parser learns different information about AVCs and FMVs if only sequential models (BiLSTMs) are used in the architecture but similar information when a recursive layer is used.

Dependency Parsing Hierarchical structure

An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing

no code implementations EMNLP 2018 Aaron Smith, Miryam de Lhoneux, Sara Stymne, Joakim Nivre

We provide a comprehensive analysis of the interactions between pre-trained word embeddings, character models and POS tags in a transition-based dependency parser.

Dependency Parsing POS +1

Parser Training with Heterogeneous Treebanks

1 code implementation ACL 2018 Sara Stymne, Miryam de Lhoneux, Aaron Smith, Joakim Nivre

How to make the most of multiple heterogeneous treebanks when training a monolingual dependency parser is an open question.

Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle

1 code implementation WS 2017 Miryam de Lhoneux, Sara Stymne, Joakim Nivre

In this paper, we extend the arc-hybrid system for transition-based parsing with a swap transition that enables reordering of the words and construction of non-projective trees.

Dependency Parsing

Eye Tracking as a Tool for Machine Translation Error Analysis

no code implementations LREC 2012 Sara Stymne, Henrik Danielsson, Sofia Bremin, Hongzhan Hu, Johanna Karlsson, Anna Prytz Lillkull, Martin Wester

We present a preliminary study where we use eye tracking as a complement to machine translation (MT) error analysis, the task of identifying and classifying MT errors.

Eye Tracking Machine Translation +1

On the practice of error analysis for machine translation evaluation

no code implementations LREC 2012 Sara Stymne, Lars Ahrenberg

Error analysis is a means to assess machine translation output in qualitative terms, which can be used as a basis for the generation of error profiles for different systems.

Machine Translation

Alignment-based reordering for SMT

no code implementations LREC 2012 Maria Holmqvist, Sara Stymne, Lars Ahrenberg, Magnus Merkel

The reordered text is used to create a second word alignment which can be an improvement of the first alignment, since the word order is more similar.

Machine Translation Part-Of-Speech Tagging +1

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