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10/17/2021
Schrödinger's Tree – On Syntax and Neural Language Models
In the last half-decade, the field of natural language processing (NLP) ...
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07/26/2021
Revisiting Negation in Neural Machine Translation
In this paper, we evaluate the translation of negation both automaticall...
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01/28/2021
Syntactic Nuclei in Dependency Parsing – A Multilingual Exploration
Standard models for syntactic dependency parsing take words to be the el...
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01/26/2021
Attention Can Reflect Syntactic Structure (If You Let It)
Since the popularization of the Transformer as a general-purpose feature...
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11/06/2020
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English
Recent work has shown that deeper character-based neural machine transla...
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07/09/2020
Greedy Transition-Based Dependency Parsing with Discrete and Continuous Supertag Features
We study the effect of rich supertag features in greedy transition-based...
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07/09/2020
Principal Word Vectors
We generalize principal component analysis for embedding words into a ve...
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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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04/29/2020
Do Neural Language Models Show Preferences for Syntactic Formalisms?
Recent work on the interpretability of deep neural language models has c...
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04/22/2020
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
Universal Dependencies is an open community effort to create cross-lingu...
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08/30/2019
Encoders Help You Disambiguate Word Senses in Neural Machine Translation
Neural machine translation (NMT) has achieved new state-of-the-art perfo...
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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
Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
In this paper, we try to understand neural machine translation (NMT) via...
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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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10/17/2018
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation
Recent work has shown that the encoder-decoder attention mechanisms in n...
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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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08/27/2018
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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07/09/2018
Universal Word Segmentation: Implementation and Interpretation
Word segmentation is a low-level NLP task that is non-trivial for a cons...
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06/13/2018
An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization
In this paper, we apply different NMT models to the problem of historica...
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05/14/2018
Parser Training with Heterogeneous Treebanks
How to make the most of multiple heterogeneous treebanks when training a...
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04/18/2018
Sentences with Gapping: Parsing and Reconstructing Elided Predicates
Sentences with gapping, such as Paul likes coffee and Mary tea, lack an ...
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04/05/2017
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF
We present a character-based model for joint segmentation and POS taggin...
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03/21/2016