This paper describes the inference system of FZI-WIM at the SemEval-2024 Task
2: Safe Biomedical Natural Language Inference for Clinical Trials. Our system
utilizes the chain of thought (CoT) paradigm to tackle this complex reasoning
problem and further improves the CoT performance with self-consistency. Instead
of greedy decoding, we sample multiple reasoning chains with the same prompt
and make the final verification with majority voting. The self-consistent CoT
system achieves a baseline F1 score of 0.80 (1st), faithfulness score of 0.90
(3rd), and consistency score of 0.73 (12th). We release the code and data
publicly this https URL

该研究论文描述了 FZI-WIM 在 SemEval-2024 任务 2：用于临床试验的安全生物医学自然语言推理中的推理系统。我们的系统利用思维链（CoT）范式来解决这一复杂的推理问题，并通过自洽性进一步提高了 CoT 的性能。与贪婪解码不同，我们对相同提示采样多个推理链，通过多数投票进行最终验证。这个自洽的 CoT 系统取得了 0.80（第 1 名）的基线 F1 分数，0.90（第 3 名）的忠诚度分数和 0.73（第 12 名）的一致性分数。我们公开发布代码和数据，网址见链接。

FZI-WIM 在 SemEval-2024 任务 2 中的自洽 CoT 用于生物医学领域的复杂 NLI

FZI-WIM at SemEval-2024 Task 2: Self-Consistent CoT for Complex NLI in  Biomedical Domain

This book presents the advancements and applications of neutrosophics.
Chapter 1 first introduces the interval neutrosophic sets which is an instance
of neutrosophic sets. In this chapter, the definition of interval neutrosophic
sets and set-theoretic operators are given and various properties of interval
neutrosophic set are proved. Chapter 2 defines the interval neutrosophic logic
based on interval neutrosophic sets including the syntax and semantics of first
order interval neutrosophic propositional logic and first order interval
neutrosophic predicate logic. The interval neutrosophic logic can reason and
model fuzzy, incomplete and inconsistent information. In this chapter, we also
design an interval neutrosophic inference system based on first order interval
neutrosophic predicate logic. The interval neutrosophic inference system can be
applied to decision making. Chapter 3 gives one application of interval
neutrosophic sets and logic in the field of relational databases. Neutrosophic
data model is the generalization of fuzzy data model and paraconsistent data
model. Here, we generalize various set-theoretic and relation-theoretic
operations of fuzzy data model to neutrosophic data model. Chapter 4 gives
another application of interval neutrosophic logic. A soft semantic Web
Services agent framework is proposed to faciliate the registration and
discovery of high quality semantic Web Services agent. The intelligent
inference engine module of soft Semantic Web Services agent is implemented
using interval neutrosophic logic.

本书介绍了中性谓词的先进及应用。