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02/20/2023
A Two-Sided Discussion of Preregistration of NLP Research
Van Miltenburg et al. (2021) suggest NLP research should adopt preregist...
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07/14/2022
Language Modelling with Pixels
Language models are defined over a finite set of inputs, which creates a...
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06/01/2022
What a Creole Wants, What a Creole Needs
In recent years, the natural language processing (NLP) community has giv...
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03/18/2022
Challenges and Strategies in Cross-Cultural NLP
Various efforts in the Natural Language Processing (NLP) community have ...
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03/17/2022
Finding Structural Knowledge in Multimodal-BERT
In this work, we investigate the knowledge learned in the embeddings of ...
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03/16/2022
Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning
Large multilingual pretrained language models such as mBERT and XLM-RoBE...
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12/07/2021
Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings
With an increase of dataset availability, the potential for learning fro...
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09/13/2021
On Language Models for Creoles
Creole languages such as Nigerian Pidgin English and Haitian Creole are ...
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06/06/2021
Itihasa: A large-scale corpus for Sanskrit to English translation
This work introduces Itihasa, a large-scale translation dataset containi...
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11/02/2020
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics
Building robust natural language understanding systems will require a cl...
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05/25/2020
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding
We present Køpsala, the Copenhagen-Uppsala system for the Enhanced Unive...
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08/20/2019
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing -- A Tale of Two Parsers Revisited
Transition-based and graph-based dependency parsers have previously been...
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07/18/2019
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
This article is a linguistic investigation of a neural parser. We look a...
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02/26/2019
Recursive Subtree Composition in LSTM-Based Dependency Parsing
The need for tree structure modelling on top of sequence modelling is an...
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09/06/2018
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models
We present the Uppsala system for the CoNLL 2018 Shared Task on universa...
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08/31/2018
Nightmare at test time: How punctuation prevents parsers from generalizing
Punctuation is a strong indicator of syntactic structure, and parsers tr...
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08/27/2018
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
We provide a comprehensive analysis of the interactions between pre-trai...
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08/27/2018
Parameter sharing between dependency parsers for related languages
Previous work has suggested that parameter sharing between transition-ba...
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05/14/2018