Papers by Tejas Goyal

2 papers
Semantic Span Annotation: An Exploratory Study of LLM Annotation (2026.acl-srw)

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Challenge: Structured span extraction research is siloed by context length, annotation task, and domain . Identifying a span within a natural language text and affixing it with a semantic label has been considered a core task in NLP .
Approach: They propose a framework for structured span annotation that integrates five datasets under a common JSONL format with character-level offsets.
Outcome: The proposed framework can generalize across four domains under three prompting configurations.
Box Embeddings: An open-source library for representation learning using geometric structures (2021.emnlp-demo)

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Challenge: Recent studies have explored alternative vector representations with different inductive biases or capabilities.
Approach: They propose a Python library that extends probabilistic box embeddings to geometric shapes and regions.
Outcome: The proposed library is fully open source and compatible with PyTorch and TensorFlow.

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