Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI | Paper Citation Record

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

Reference 1

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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This paper cites cathode” and “LiMnPO4.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI cathode” and “LiMnPO4

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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This paper cites 5 Beyond the overall data structur ing framework, we also contribute at the component level— specifically, in the NER phase.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI 5 Beyond the overall data structur ing framework, we also contribute at the component level— specifically, in the NER phase

Reference 6

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This paper cites It contains 4401, 511, and 546 sentences in training, validation and test sets, respectively.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI It contains 4401, 511, and 546 sentences in training, validation and test sets, respectively

Reference 7

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI It includes four entity types: EXPERIMENT, VALUE, MATERIAL and DEVICE

Reference 8

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This paper cites an unresolved cited work.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Nanostructured

Reference 13

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI & Aspuru-Guzik, A

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This paper cites an unresolved cited work.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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This paper cites an unresolved cited work.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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This paper cites an unresolved cited work.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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This paper cites an unresolved cited work.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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This paper cites an unresolved cited work.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI & Cole, J

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI & Olivetti, E

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unifying Large Language Models and Knowledge Graphs: A Roadmap

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI & Navigli, R

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI & Kim, J

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Language Models are Few-Shot Learners

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI GPT-4 Technical Report

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI LLaMA: Open and Efficient Foundation Language Models

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Llama 2: Open Foundation and Fine-Tuned Chat Models

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI The Llama 3 Herd of Models

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Gemini: A Family of Highly Capable Multimodal Models

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

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This paper cites an unresolved cited work.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI & Lee, B

Reference 58

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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This paper cites an unresolved cited work.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

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Reference 60

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Unavailable: canonical work link unavailable.

Observation 04540f2a-6566-4596-94f1-eb621de39ca4 · outbound

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

Reference 61

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Observation 8e0666bb-6209-449a-8788-a4dcb6c5ef8c · outbound

This paper cites an unresolved cited work.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

Reference 62

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Observation 8bd12ec7-5a6f-4948-82f9-79f9d729ee28 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 63

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Unavailable: canonical work link unavailable.

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI GPT-NER: Named Entity Recognition via Large Language Models

Reference 64

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI A., Fuh, J

Reference 65

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This paper cites D., McCallum, A.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI D., McCallum, A

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.769277Z

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Observation a0801334-0b75-4d80-8c34-5b2c345b20ee · outbound

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Reference 67

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Portuguese Named Entity Recognition using BERT-CRF

Reference 68

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Unavailable: canonical work link unavailable.

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://pytorch- crf.readthedocs.io/en/stable/

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.754699Z

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Observation 7771140d-a866-42c0-ac74-ae9f2c5babb0 · outbound

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unresolved cited work

Reference 70

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d64f7ea8-d4e9-4f70-8bd7-07209dd13078 · outbound

This paper cites GitHub https://github.com/huggingface.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI GitHub https://github.com/huggingface

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.741081Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1946a5be-754b-4589-b7b0-73654063e7f9 · outbound

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://huggingface.co/datasets/Junhyeong86/matscholar_ner

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.726997Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://huggingface.co/datasets/Junhyeong86/sofc_ner

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.713239Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc34d69e-ce61-4cae-988b-7f4a89c88aed · outbound

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://huggingface.co/datasets/Junhyeong86/NER-special-tagging

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.699592Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41de36cf-53b3-4779-b34b-c2021fdbbadb · outbound

This paper cites https://huggingface.co/datasets/Junhyeong86/NER-html-like-tagging.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://huggingface.co/datasets/Junhyeong86/NER-html-like-tagging

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.684946Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3d5bff0f-a617-474e-ab74-182317f53f34 · outbound

This paper cites https://huggingface.co/datasets/eriktks/conll2003 (2024).

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://huggingface.co/datasets/eriktks/conll2003 (2024)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.670790Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fadccc7f-c8c7-417c-b1dc-147857f40d16 · outbound

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://ollama.com/llama3.3

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.657498Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e89284b-619d-4472-aee6-75dfb466a61e · outbound

This paper cites Unsloth AI (2025).

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI Unsloth AI (2025)

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.643282Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3793f006-f21c-4b98-acdd-6f425be3f2d2 · outbound

This paper cites https://huggingface.co/docs/bitsandbytes/index.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://huggingface.co/docs/bitsandbytes/index

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.628376Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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This paper cites https://huggingface.co/unsloth/Llama-3.2-3B-Instruct-bnb-4bit (2025).

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://huggingface.co/unsloth/Llama-3.2-3B-Instruct-bnb-4bit (2025)

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.613107Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0593b6f4-275c-4296-9225-75382d3aa725 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI LoRA: Low-Rank Adaptation of Large Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T22:57:02.104624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T22:57:02.109626Z

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI 8-bit Optimizers via Block-wise Quantization

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T22:57:02.114377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4072397-20b0-4e47-82fb-4a334ebc8760 · outbound

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI ggml (2025)

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.597669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bdcd96b9-d5e7-46e2-8ad9-d9f3cfd5904e · outbound

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Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://gith ub.com/langchain-ai

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.583146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation abcf9add-b2fb-457b-8fd4-967aeffd08f6 · outbound

This paper cites https://github.com/ollama.

Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI https://github.com/ollama

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:57:02.568279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers