Results 51 to 60 of about 229,295 (345)
Scientific Dataset Discovery via Topic-level Recommendation
CoRR, 2021 Data intensive research requires the support of appropriate datasets. However, it is often time-consuming to discover usable datasets matching a specific research topic. We formulate the dataset discovery problem on an attributed heterogeneous graph, which is composed of paper-paper citation, paper-dataset citation, and also paper content.
Basmah Altaf +2 more
openaire +2 more sources
What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Hate speech has unfortunately become a significant phenomenon on social media platforms, and it can cover various topics (misogyny, sexism, racism, xenophobia, etc.) and targets (e.g., black people, women).
Tom Bourgeade +3 more
semanticscholar +1 more source
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Unlike well-structured text, such as news reports and encyclopedia articles, dialogue content often comes from two or more interlocutors, exchanging information with each other.
Junpeng Liu +6 more
semanticscholar +1 more source
News Topic Detection Based on Capsule Semantic Graph
Big Data Mining and Analytics, 2022 Most news topic detection methods use word-based methods, which easily ignore the relationship among words and have semantic sparsity, resulting in low topic detection accuracy.
Shuang Yang, Yan Tang
doaj +1 more source
IEEE Access, 2021 Battery ensures power solutions for many necessary portable devices such as electric vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted incidents involving Li-ion batteries have also increased to some extent.
Shahid A. Hasib +11 more
semanticscholar +1 more source
NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation [PDF]
AAAI Conference on Artificial Intelligence, 2021 In this paper, we propose a Chinese multi-turn topic-driven conversation dataset, NaturalConv, which allows the participants to chat anything they want as long as any element from the topic is mentioned and the topic shift is smooth.
Xiaoyang Wang +3 more
semanticscholar +1 more source
A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information
IEEE Access, 2019 Hierarchical topic models, such as hierarchical Latent Dirichlet Allocation (hLDA)and its variations, can organize topics into a hierarchy automatically.
Xi Zou +4 more
doaj +1 more source
A latent topic‐aware network for dense video captioning
IET Computer Vision, 2023 Multiple events in a long untrimmed video possess the characteristics of similarity and continuity. These characteristics can be considered as a kind of topic semantic information, which probably behaves as same sports, similar scenes, same objects etc ...
Tao Xu +3 more
doaj +1 more source
OCTIS: Comparing and Optimizing Topic models is Simple!
Conference of the European Chapter of the Association for Computational Linguistics, 2021 In this paper, we present OCTIS, a framework for training, analyzing, and comparing Topic Models, whose optimal hyper-parameters are estimated using a Bayesian Optimization approach.
Silvia Terragni +4 more
semanticscholar +1 more source
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring [PDF]
SIGDIAL Conferences, 2021 Dialogue topic segmentation is critical in several dialogue modeling problems. However, popular unsupervised approaches only exploit surface features in assessing topical coherence among utterances.
Linzi Xing, G. Carenini
semanticscholar +1 more source