mlsanityData to 14 Oct 2026

Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data

arXiv 2104.01364 ↗First posted 3 Apr 2021cs.CLcited by 3

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Abstract (arXiv)

This paper presents the system for SemEval 2021 Task 8 (MeasEval). MeasEval is a novel span extraction, classification, and relation extraction task focused on finding quantities, attributes of these quantities, and additional information, including the related measured entities, properties, and measurement contexts. Our submitted system, which placed fifth (team rank) on the leaderboard, consisted of SciBERT with [CLS] token embedding and CRF layer on top. We were also placed first in Quantity (tied) and Unit subtasks, second in MeasuredEntity, Modifier and Qualifies subtasks, and third in Qualifier subtask.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 8 of its 16 references that are in the map. First posted on arXiv 3 Apr 2021.

Builds on

8 of 16 references.

References · 8

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  3. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
  4. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,947
  5. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,414
  6. 2019ScispaCy: Fast and Robust Models for Biomedical Natural Language Processingcited by 244
  7. 2019Enriching Pre-trained Language Model with Entity Information for Relation Classificationcited by 82
  8. 2020Beheshti-NER: Persian Named Entity Recognition Using BERTcited by 10

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 0; 2026: 1.

3 papers.

  1. 2023Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extractioncited by 1
  2. 2022Enhancing Slot Tagging with Intent Features for Task Oriented Natural Language Understanding using BERTcited by 0
  3. 2026Quantitative Evidence Mining for Plausibility-Aware Biomedical AI: A Narrative Review and Conceptual Frameworkcited by 0