Coreference-Based Text Simplification
Text simplification aims at adapting documents to make them easier to read by a given audience. Usually, simplification systems consider only lexical and syntactic levels, and, moreover, are often evaluated at the sentence level. Thus, studies on the impact of simplification in text cohesion are lacking. Some works add coreference resolution in their pipeline to address this issue. In this paper, we move forward in this direction and present a rule-based system for automatic text simplification, aiming at adapting French texts for dyslexic children. The architecture of our system takes into account not only lexical and syntactic but also discourse information, based on coreference chains. Our system has been manually evaluated in terms of grammaticality and cohesion. We have also built and used an evaluation corpus containing multiple simplification references for each sentence. It has been annotated by experts following a set of simplification guidelines, and can be used to run automatic evaluation of other simplification systems. Both the system and the evaluation corpus are freely available.
Code (0)
등록된 구현이 없습니다.
Tasks
coreference-resolutionCoreference ResolutionSentenceText SimplificationSimilar Papers 제목 키워드 기반
Simplifying Coreference Chains for Dyslexic Children
We present a work aiming to generate adapted content for dyslexic children for French, in the context of the ALECTOR project. Thus, we developed a system to transform the texts at the discourse level. This system modifie…
coreference-resolutionCoreference ResolutionEnd-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline
Since the first end-to-end neural coreference resolution model was introduced, many extensions to the model have been proposed, ranging from using higher-order inference to directly optimizing evaluation metrics using re…
coreference-resolutionCoreference ResolutionTowards Coreference for Literary Text: Analyzing Domain-Specific Phenomena
Coreference resolution is the task of grouping together references to the same discourse entity. Resolving coreference in literary texts could benefit a number of Digital Humanities (DH) tasks, such as analyzing the depi…
coreference-resolutionCoreference ResolutionNatural Language InferenceSentiment AnalysisAutomated Knowledge Graph Construction using Large Language Models and Sentence Complexity Modelling
We introduce CoDe-KG, an open-source, end-to-end pipeline for extracting sentence-level knowledge graphs by combining robust coreference resolution with syntactic sentence decomposition. Using our model, we contribute a …
Coreference ResolutionRelation ExtractionKnowledge GraphsEvaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the Art
Coreference resolution is a key step in natural language understanding. Developments in coreference resolution are mainly focused on improving the performance on standard datasets annotated for coreference resolution. Ho…
Answer Selectioncoreference-resolutionCoreference ResolutionNatural Language Understanding+1