Search Results for author: Jan Buys

Found 26 papers, 11 papers with code

RepGraph: Visualising and Analysing Meaning Representation Graphs

no code implementations EMNLP (ACL) 2021 Jaron Cohen, Roy Cohen, Edan Toledo, Jan Buys

We present RepGraph, an open source visualisation and analysis tool for meaning representation graphs.

A Sequence Modelling Approach to Question Answering in Text-Based Games

no code implementations NAACL (Wordplay) 2022 Gregory Furman, Edan Toledo, Jonathan Shock, Jan Buys

Interactive Question Answering (IQA) requires an intelligent agent to interact with a dynamic environment in order to gather information necessary to answer a question.

Question Answering text-based games

Generic Overgeneralization in Pre-trained Language Models

1 code implementation COLING 2022 Sello Ralethe, Jan Buys

The generic overgeneralization effect refers to the inclination to accept false universal generalizations such as “all ducks lay eggs” or “all lions have manes” as true.

A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation

no code implementations29 Mar 2024 Francois Meyer, Jan Buys

Multilingual modelling can improve machine translation for low-resource languages, partly through shared subword representations.

Cross-Lingual Transfer Machine Translation

Multipath parsing in the brain

no code implementations31 Jan 2024 Berta Franzluebbers, Donald Dunagan, Miloš Stanojević, Jan Buys, John T. Hale

Humans understand sentences word-by-word, in the order that they hear them.

University of Cape Town's WMT22 System: Multilingual Machine Translation for Southern African Languages

no code implementations21 Oct 2022 Khalid N. Elmadani, Francois Meyer, Jan Buys

The paper describes the University of Cape Town's submission to the constrained track of the WMT22 Shared Task: Large-Scale Machine Translation Evaluation for African Languages.

Machine Translation Translation

Subword Segmental Language Modelling for Nguni Languages

1 code implementation12 Oct 2022 Francois Meyer, Jan Buys

We also train our model as a word-level sequence model, resulting in an unsupervised morphological segmenter that outperforms existing methods by a large margin for all 4 languages.

Language Modelling Segmentation

Low-Resource Language Modelling of South African Languages

1 code implementation1 Apr 2021 Stuart Mesham, Luc Hayward, Jared Shapiro, Jan Buys

Language models are the foundation of current neural network-based models for natural language understanding and generation.

Language Modelling Natural Language Understanding

Canonical and Surface Morphological Segmentation for Nguni Languages

1 code implementation1 Apr 2021 Tumi Moeng, Sheldon Reay, Aaron Daniels, Jan Buys

In this paper, we investigate supervised and unsupervised models for two variants of morphological segmentation: canonical and surface segmentation.

Language Modelling Segmentation

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle

no code implementations IJCNLP 2019 Peter West, Ari Holtzman, Jan Buys, Yejin Choi

In this paper, we propose a novel approach to unsupervised sentence summarization by mapping the Information Bottleneck principle to a conditional language modelling objective: given a sentence, our approach seeks a compressed sentence that can best predict the next sentence.

Abstractive Text Summarization Extractive Summarization +4

Discourse Understanding and Factual Consistency in Abstractive Summarization

no code implementations EACL 2021 Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi

We introduce a general framework for abstractive summarization with factual consistency and distinct modeling of the narrative flow in an output summary.

Abstractive Text Summarization Sentence

Benchmarking Hierarchical Script Knowledge

1 code implementation NAACL 2019 Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi

Understanding procedural language requires reasoning about both hierarchical and temporal relations between events.


Neural Text Generation from Rich Semantic Representations

1 code implementation NAACL 2019 Valerie Hajdik, Jan Buys, Michael W. Goodman, Emily M. Bender

We propose neural models to generate high-quality text from structured representations based on Minimal Recursion Semantics (MRS).

Text Generation

The Curious Case of Neural Text Degeneration

16 code implementations ICLR 2020 Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi

Despite considerable advancements with deep neural language models, the enigma of neural text degeneration persists when these models are tested as text generators.

Language Modelling

Neural Syntactic Generative Models with Exact Marginalization

no code implementations NAACL 2018 Jan Buys, Phil Blunsom

We present neural syntactic generative models with exact marginalization that support both dependency parsing and language modeling.

Language Modelling Transition-Based Dependency Parsing

Learning to Write with Cooperative Discriminators

2 code implementations ACL 2018 Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi

Recurrent Neural Networks (RNNs) are powerful autoregressive sequence models, but when used to generate natural language their output tends to be overly generic, repetitive, and self-contradictory.

Learning to Write by Learning the Objective

no code implementations ICLR 2018 Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, Yejin Choi

Human evaluation demonstrates that text generated by the resulting generator is preferred over that of baselines by a large margin and significantly enhances the overall coherence, style, and information content of the generated text.

Language Modelling

Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention

no code implementations SEMEVAL 2017 Jan Buys, Phil Blunsom

We present a neural encoder-decoder AMR parser that extends an attention-based model by predicting the alignment between graph nodes and sentence tokens explicitly with a pointer mechanism.

AMR Parsing Decoder +2

Robust Incremental Neural Semantic Graph Parsing

1 code implementation ACL 2017 Jan Buys, Phil Blunsom

Parsing sentences to linguistically-expressive semantic representations is a key goal of Natural Language Processing.

AMR Parsing Decoder

Online Segment to Segment Neural Transduction

no code implementations EMNLP 2016 Lei Yu, Jan Buys, Phil Blunsom

We introduce an online neural sequence to sequence model that learns to alternate between encoding and decoding segments of the input as it is read.

Morphological Inflection Sentence +1

Cross-Lingual Morphological Tagging for Low-Resource Languages

no code implementations ACL 2016 Jan Buys, Jan A. Botha

We propose a tagging model using Wsabie, a discriminative embedding-based model with rank-based learning.

Morphological Tagging

A Bayesian Model for Generative Transition-based Dependency Parsing

no code implementations WS 2015 Jan Buys, Phil Blunsom

We propose a simple, scalable, fully generative model for transition-based dependency parsing with high accuracy.

Language Modelling POS +2

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