Search Results for author: Frances Yung

Found 15 papers, 0 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 Text Generation

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.

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.

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.

Discourse Parsing General Classification +2

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.


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 Semantic Role Labeling +1

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