Pith. sign in

REVIEW 2 cited by

Is ChatGPT A Good Keyphrase Generator? A Preliminary Study

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2303.13001 v3 pith:KWC2I4W4 submitted 2023-03-23 cs.CL

classification cs.CL
keywords chatgptkeyphrasegenerationpromptscandidatedatasetsevaluationgenerator
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The emergence of ChatGPT has recently garnered significant attention from the computational linguistics community. To demonstrate its capabilities as a keyphrase generator, we conduct a preliminary evaluation of ChatGPT for the keyphrase generation task. We evaluate its performance in various aspects, including keyphrase generation prompts, keyphrase generation diversity, and long document understanding. Our evaluation is based on six benchmark datasets, and we adopt the prompt suggested by OpenAI while extending it to six candidate prompts. We find that ChatGPT performs exceptionally well on all six candidate prompts, with minor performance differences observed across the datasets. Based on our findings, we conclude that ChatGPT has great potential for keyphrase generation. Moreover, we discover that ChatGPT still faces challenges when it comes to generating absent keyphrases. Meanwhile, in the final section, we also present some limitations and future expansions of this report.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. An Analysis of Datasets, Metrics and Models in Keyphrase Generation

    cs.IR 2025-06 conditional novelty 6.0 of 10

    A meta-analysis of keyphrase generation shows benchmark datasets are highly correlated, evaluation protocols inflate scores, and a released BART-large baseline provides a stronger reference point.

  2. Beyond Questions: Leveraging ColBERT for Keyphrase Search

    cs.IR 2024-12 conditional novelty 6.0 of 10

    Keyphrase-trained ColBERT variants improve ranking on keyphrase queries and match standard ColBERT on question queries.

Pith tools