Search papers, labs, and topics across Lattice.
4
38
3
8
Eye-tracking data reveals that human reading behavior can dramatically enhance keyphrase extraction performance, challenging traditional text-only approaches.
Entity type information can dramatically boost SciNER performance, enabling LLMs to match fully supervised models without extensive human input.
The rise of pre-trained language models has not only reshaped NLP innovation but also intensified the knowledge demands on researchers, with implications for future research directions.
More than half of algorithm mentions in NLP papers are for direct use, signaling a significant shift in how researchers engage with algorithms over time.
