We lifted 6 functions out of this paper's own repositories and ran 6 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| jerry3027/polyie | canonical | 6 of 6 |
| Function | Status | Where it lives |
|---|---|---|
| convert_sentence_to_token_offset | Ran | jerry3027/polyie/Baselines/Bert_NER/preprocess_dataset.py code served (permissive licence) · get_code("84aab1ec5a8d8500") |
| dispatch_azure_openai_requests | Ran | jerry3027/polyie/GPT/baseline_gpt_ner.py code served (permissive licence) · get_code("243025ce6eb1bcfe") |
| dispatch_azure_openai_requests | Ran | jerry3027/polyie/GPT/baseline_gpt_re.py code served (permissive licence) · get_code("86528be2c5d83b1f") |
| dispatch_openai_requests | Ran | jerry3027/polyie/GPT/baseline_gpt_ner.py code served (permissive licence) · get_code("315800408c7fb937") |
| eval_fn | Ran | jerry3027/polyie/Baselines/Bert_NER/engine.py code served (permissive licence) · get_code("d2de5b98fe7c085f") |
| train_fn | Ran | jerry3027/polyie/Baselines/Bert_NER/engine.py code served (permissive licence) · get_code("9e949368c1fecd3e") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Scientific information extraction (SciIE), which aims to automatically extract information from scientific literature, is becoming more important than ever. However, there are no existing SciIE datasets for polymer materials, which is an important class of materials used ubiquitously in our daily lives. To bridge this gap, we introduce POLYIE, a new SciIE dataset for polymer materials. POLYIE is curated from 146 full-length polymer scholarly articles, which are annotated with different named entities (i.e., materials, properties, values, conditions) as well as their N-ary relations by domain experts. POLYIE presents several unique challenges due to diverse lexical formats of entities, ambiguity between entities, and variable-length relations. We evaluate state-of-the-art named entity extraction and relation extraction models on POLYIE, analyze their strengths and weaknesses, and highlight some difficult cases for these models. To the best of our knowledge, POLYIE is the first SciIE benchmark for polymer materials, and we hope it will lead to more research efforts from the community on this challenging task. Our code and data are available on: https://github.com/jerry3027/PolyIE.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2311.07715")
get_code_for_paper("2311.07715")
have("2311.07715")
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