Towards natural language interfaces for data visualization: A survey

L Shen, E Shen, Y Luo, X Yang, X Hu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary
input modality to direct manipulation for visual analytics can provide an engaging user …

A brief survey on recent advances in coreference resolution

R Liu, R Mao, AT Luu, E Cambria - Artificial Intelligence Review, 2023 - Springer
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 …

A survey on semantic processing techniques

R Mao, K He, X Zhang, G Chen, J Ni, Z Yang… - Information …, 2024 - Elsevier
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 …

State-of-the-art generalisation research in NLP: a taxonomy and review

D Hupkes, M Giulianelli, V Dankers, M Artetxe… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …

Dialogue summarization with mixture of experts based on large language models

Y Tian, F **a, Y Song - Proceedings of the 62nd Annual Meeting of …, 2024 - aclanthology.org
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 …

Computational models of anaphora

M Poesio, J Yu, S Paun, A Aloraini, P Lu… - Annual Review of …, 2023 - annualreviews.org
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 …

Benchmarking knowledge-enhanced commonsense question answering via knowledge-to-text transformation

N Bian, X Han, B Chen, L Sun - … of the AAAI Conference on Artificial …, 2021 - ojs.aaai.org
A fundamental ability of humans is to utilize commonsense knowledge in language
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 …

Adaption-of-thought: Learning question difficulty improves large language models for reasoning

M Xu, Y Li, K Sun, T Qian - … of the 2024 Conference on Empirical …, 2024 - aclanthology.org
Large language models (LLMs) have shown excellent capability for solving reasoning
problems. Existing approaches do not differentiate the question difficulty when designing …

A deep neural network model for speakers coreference resolution in legal texts

D Ji, J Gao, H Fei, C Teng, Y Ren - Information Processing & Management, 2020 - Elsevier
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 …