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A survey on stance detection for mis-and disinformation identification
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …
important role in systems for detecting false information online, be it misinformation …
Systematic knowledge modeling and extraction methods for manufacturing process planning based on knowledge graph
Process knowledge is an important part of intelligent manufacturing, which has become the
trend of global manufacturing industry. However, process planning in manufacturing heavily …
trend of global manufacturing industry. However, process planning in manufacturing heavily …
Generating fact checking briefs
Fact checking at scale is difficult--while the number of active fact checking websites is
growing, it remains too small for the needs of the contemporary media ecosystem. However …
growing, it remains too small for the needs of the contemporary media ecosystem. However …
Different absorption from the same sharing: Sifted multi-task learning for fake news detection
Recently, neural networks based on multi-task learning have achieved promising
performance on fake news detection, which focus on learning shared features among tasks …
performance on fake news detection, which focus on learning shared features among tasks …
Adapler: Speeding up inference by adaptive length reduction
Pre-trained language models have shown stellar performance in various downstream tasks.
But, this usually comes at the cost of high latency and computation, hindering their usage in …
But, this usually comes at the cost of high latency and computation, hindering their usage in …
Assisting the human fact-checkers: Detecting all previously fact-checked claims in a document
Given the recent proliferation of false claims online, there has been a lot of manual fact-
checking effort. As this is very time-consuming, human fact-checkers can benefit from tools …
checking effort. As this is very time-consuming, human fact-checkers can benefit from tools …
Diagnostics-guided explanation generation
Explanations shed light on a machine learning model's rationales and can aid in identifying
deficiencies in its reasoning process. Explanation generation models are typically trained in …
deficiencies in its reasoning process. Explanation generation models are typically trained in …
Building a question answering system for the manufacturing domain
The design or simulation analysis of special equipment products must follow the national
standards, and hence it may be necessary to repeatedly consult the contents of the …
standards, and hence it may be necessary to repeatedly consult the contents of the …
Evidence-based trustworthiness
The information revolution brought with it information pollution. Information retrieval and
extraction help us cope with abundant information from diverse sources. But some sources …
extraction help us cope with abundant information from diverse sources. But some sources …
Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse
In this paper, we develop an LLM-powered framework for the curation and evaluation of
emerging opinion mining in online health communities. We formulate emerging opinion …
emerging opinion mining in online health communities. We formulate emerging opinion …