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Large language models and knowledge graphs: Opportunities and challenges
Large Language Models (LLMs) have taken Knowledge Representation--and the world--by
storm. This inflection point marks a shift from explicit knowledge representation to a renewed …
storm. This inflection point marks a shift from explicit knowledge representation to a renewed …
[PDF][PDF] An overview of Microsoft Web N-gram corpus and applications
K Wang, C Thrasher, E Viegas, X Li… - Proceedings of the …, 2010 - aclanthology.org
This document describes the properties and some applications of the Microsoft Web N-gram
corpus. The corpus is designed to have the following characteristics. First, in contrast to …
corpus. The corpus is designed to have the following characteristics. First, in contrast to …
Bridging text visualization and mining: A task-driven survey
Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …
academic research and the commercial world. To provide an overview of the relevant …
TWC LOGD: A portal for linked open government data ecosystems
International open government initiatives are releasing an increasing volume of raw
government datasets directly to citizens via the Web. The transparency resulting from these …
government datasets directly to citizens via the Web. The transparency resulting from these …
Viske: Visual knowledge extraction and question answering by visual verification of relation phrases
How can we know whether a statement about our world is valid. For example, given a
relationship between a pair of entities eg,eat (horse, hay)', how can we know whether this …
relationship between a pair of entities eg,eat (horse, hay)', how can we know whether this …
Beyond clicks: query reformulation as a predictor of search satisfaction
To understand whether a user is satisfied with the current search results, implicit behavior is
a useful data source, with clicks being the best-known implicit signal. However, it is possible …
a useful data source, with clicks being the best-known implicit signal. However, it is possible …
Clickthrough-based translation models for web search: from word models to phrase models
Web search is challenging partly due to the fact that search queries and Web documents
use different language styles and vocabularies. This paper provides a quantitative analysis …
use different language styles and vocabularies. This paper provides a quantitative analysis …
Clickthrough-based latent semantic models for web search
This paper presents two new document ranking models for Web search based upon the
methods of semantic representation and the statistical translation-based approach to …
methods of semantic representation and the statistical translation-based approach to …
Query segmentation revisited
We address the problem of query segmentation: given a keyword query, the task is to group
the keywords into phrases, if possible. Previous approaches to the problem achieve …
the keywords into phrases, if possible. Previous approaches to the problem achieve …
Spatio-temporal segmentation for video
(57) ABSTRACT A video is segmented to produce Volumetric video regions. Descriptors are
created for the video regions. A region graph is created for the video, where the region …
created for the video regions. A region graph is created for the video, where the region …