Search Results for author: Frances Yung

Found 21 papers, 2 papers with code

A practical perspective on connective generation

no code implementations CODI 2021 Frances Yung, Merel Scholman, Vera Demberg

In the current contribution, we analyse whether a sophisticated connective generation module is necessary to select a connective, or whether this can be solved with simple methods (such as random choice between connectives that are known to express a given relation, or usage of a generic language model).

Language Modelling Relation +1

Comparison of methods for explicit discourse connective identification across various domains

no code implementations CODI 2021 Merel Scholman, Tianai Dong, Frances Yung, Vera Demberg

Existing parse methods use varying approaches to identify explicit discourse connectives, but their performance has not been consistently evaluated in comparison to each other, nor have they been evaluated consistently on text other than newspaper articles.

DiscoGeM: A Crowdsourced Corpus of Genre-Mixed Implicit Discourse Relations

1 code implementation LREC 2022 Merel Scholman, Tianai Dong, Frances Yung, Vera Demberg

Both the corpus and the dataset can facilitate a multitude of applications and research purposes, for example to function as training data to improve the performance of automatic discourse relation parsers, as well as facilitate research into non-connective signals of discourse relations.

Relation Relation Classification

Establishing Annotation Quality in Multi-label Annotations

no code implementations COLING 2022 Marian Marchal, Merel Scholman, Frances Yung, Vera Demberg

In many linguistic fields requiring annotated data, multiple interpretations of a single item are possible.

Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training

no code implementations LREC 2022 Merel Scholman, Valentina Pyatkin, Frances Yung, Ido Dagan, Reut Tsarfaty, Vera Demberg

The current contribution studies the effect of worker selection and training on the agreement on implicit relation labels between workers and gold labels, for both the DC and the QA method.

Relation

Label distributions help implicit discourse relation classification

no code implementations COLING (CODI, CRAC) 2022 Frances Yung, Kaveri Anuranjana, Merel Scholman, Vera Demberg

Implicit discourse relations can convey more than one relation sense, but much of the research on discourse relations has focused on single relation senses.

Classification Implicit Discourse Relation Classification +1

Prompting Implicit Discourse Relation Annotation

no code implementations7 Feb 2024 Frances Yung, Mansoor Ahmad, Merel Scholman, Vera Demberg

Pre-trained large language models, such as ChatGPT, archive outstanding performance in various reasoning tasks without supervised training and were found to have outperformed crowdsourcing workers.

Classification Implicit Discourse Relation Classification +3

Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design

1 code implementation3 Apr 2023 Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, Reut Tsarfaty, Ido Dagan, Vera Demberg

Disagreement in natural language annotation has mostly been studied from a perspective of biases introduced by the annotators and the annotation frameworks.

Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task

no code implementations WS 2019 Frances Yung, Vera Demberg, Merel Scholman

The perspective of being able to crowd-source coherence relations bears the promise of acquiring annotations for new texts quickly, which could then increase the size and variety of discourse-annotated corpora.

Relation Vocal Bursts Valence Prediction

Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification

no code implementations WS 2019 Wei Shi, Frances Yung, Vera Demberg

Implicit discourse relation classification is one of the most challenging and important tasks in discourse parsing, due to the lack of connective as strong linguistic cues.

16k Discourse Parsing +5

Do Speakers Produce Discourse Connectives Rationally?

no code implementations WS 2018 Frances Yung, Vera Demberg

A number of different discourse connectives can be used to mark the same discourse relation, but it is unclear what factors affect connective choice.

Informativeness

Can Discourse Relations be Identified Incrementally?

no code implementations IJCNLP 2017 Frances Yung, Hiroshi Noji, Yuji Matsumoto

Humans process language word by word and construct partial linguistic structures on the fly before the end of the sentence is perceived.

Discourse Parsing Language Modelling +3

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