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Towards natural language interfaces for data visualization: A survey
Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …
input modality to direct manipulation for visual analytics can provide an engaging user …
A brief survey on recent advances in coreference resolution
The task of resolving repeated objects in natural languages is known as coreference
resolution, and it is an important part of modern natural language processing. It is classified …
resolution, and it is an important part of modern natural language processing. It is classified …
A survey on semantic processing techniques
Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …
era of powerful pre-trained language models and large language models, the advancement …
State-of-the-art generalisation research in NLP: a taxonomy and review
The ability to generalise well is one of the primary desiderata of natural language
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …
Dialogue summarization with mixture of experts based on large language models
Dialogue summarization is an important task that requires to generate highlights for a
conversation from different aspects (eg, content of various speakers). While several studies …
conversation from different aspects (eg, content of various speakers). While several studies …
Computational models of anaphora
Interpreting anaphoric references is a fundamental aspect of our language competence that
has long attracted the attention of computational linguists. The appearance of ever-larger …
has long attracted the attention of computational linguists. The appearance of ever-larger …
Benchmarking knowledge-enhanced commonsense question answering via knowledge-to-text transformation
A fundamental ability of humans is to utilize commonsense knowledge in language
understanding and question answering. In recent years, many knowledge-enhanced …
understanding and question answering. In recent years, many knowledge-enhanced …
A neural entity coreference resolution review
N Stylianou, I Vlahavas - Expert Systems with Applications, 2021 - Elsevier
Abstract Entity Coreference Resolution is the task of resolving all mentions in a document
that refer to the same real world entity and is considered as one of the most difficult tasks in …
that refer to the same real world entity and is considered as one of the most difficult tasks in …
Adaption-of-thought: Learning question difficulty improves large language models for reasoning
Large language models (LLMs) have shown excellent capability for solving reasoning
problems. Existing approaches do not differentiate the question difficulty when designing …
problems. Existing approaches do not differentiate the question difficulty when designing …
A deep neural network model for speakers coreference resolution in legal texts
Coreference resolution is one of the fundamental tasks in natural language processing
(NLP), and is of great significance to understand the semantics of texts. Meanwhile …
(NLP), and is of great significance to understand the semantics of texts. Meanwhile …