Results 81 to 90 of about 9,135 (197)
Mention Detection Using Pointer Networks for Coreference Resolution
ETRI Journal, 2017 A mention has a noun or noun phrase as its head and constructs a chunk that defines any meaning, including a modifier. Mention detection refers to the extraction of mentions from a document.
Cheoneum Park, Changki Lee, Soojong Lim
doaj +1 more source
FastVDT: Fast Transformer With Optimised Attention Masks and Positional Encoding for Visual Dialogue
IET Computer Vision, Volume 19, Issue 1, January/December 2025.This article introduces the fast transformer for visual dialogue (FastVDT), an innovative model designed to enhance the efficiency and accuracy of visual dialogue systems by modelling multiple questions related to a single image simultaneously. Utilising a novel attention masking mechanism and continuous positional encoding, FastVDT significantly ...
Qiangqiang He +2 more
wiley +1 more source
Machine‐Reading Comprehension for Bridge Inspection Domain by Fusing Graph Embedding
Complexity, Volume 2025, Issue 1, 2025.Bridge inspection text records are very significant for the maintenance and upkeep of bridges, which can help engineers and maintenance personnel to understand the actual condition of bridges, detect and repair problems in time, and ensure the safe operation of bridges.
Fangyue Xiang +5 more
wiley +1 more source
Robustness in Coreference Resolution
, 2020 Coreference resolution is the task of determining different expressions of a text that refer to the same entity. The resolution of coreferring expressions is an essential step for automatic interpretation of the text. While coreference information is beneficial for various NLP tasks like summarization, question answering, and information extraction ...
openaire +2 more sources
Dependency Parsing‐Enhanced Conversational Knowledge‐Based Question Answering System
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.Contextual information parsing is one of the most important subtasks of conversational KBQA. However, existing methods often assume the independence of utterance and model them in isolation. In this paper, we propose a Dependency paRsing‐Enhanced converSational queStion AnswerinG systEm, DRESSAGE, which can effectively model long‐range semantic ...
Jinhao Zhang +6 more
wiley +1 more source
Text as scene: discourse deixis and bridging relations [PDF]
, 2007 En este artículo se presenta un nuevo marco, “el texto como escena”, que establece las bases para la anotación de dos relaciones de correferencia: la deixis discursiva y las relaciones de bridging.
Martí Antonín, Maria Antònia +2 more
core +1 more source
Coreference by Appearance: Visually Grounded Event Coreference Resolution [PDF]
Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference, 2021 Liming Wang +5 more
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A Method of Extractive Text Summarization Using Document Semantic Graph With Node Ranking
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.With the rise of neural networks and pre‐trained models such as BERT, abstractive text summarization techniques have received widespread attention. Nevertheless, traditional extractive text summarization methods still hold substantial research value due to their low computational cost, interpretability, and robustness.
Zhenhao Li +4 more
wiley +1 more source
Cephalo: Multi‐Modal Vision‐Language Models for Bio‐Inspired Materials Analysis and Design
Advanced Functional Materials, Volume 34, Issue 49, December 2, 2024.Cephalo is a multimodal vision large language model (V‐LLM) designed for materials science. By seamlessly integrating visual and textual data, Cephalo transforms scientific documents into actionable insights, enabling advanced analysis and decision‐making.
Markus J. Buehler
wiley +1 more source
University of Sheffield TREC-8 Q & A System [PDF]
, 1999 The system entered by the University of Sheffield in the question answering track of TREC-8 is the result of coupling two existing technologies - information retrieval (IR) and information extraction (IE).
Gaizauskas, R. +3 more
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