Pith. sign in

REVIEW

Interpreting Answers to Yes-No Questions in User-Generated Content

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

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 2310.15464 v1 pith:PF3W2JLU submitted 2023-10-24 cs.CL

Shivam Mathur , Keun Hee Park , Dhivya Chinnappa , Saketh Kotamraju , Eduardo Blanco This is my paper · ORCID
classification cs.CL
keywords answersyes-nointerpretationinterpretingkeywordsmediaproblemquestions
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

Interpreting answers to yes-no questions in social media is difficult. Yes and no keywords are uncommon, and the few answers that include them are rarely to be interpreted what the keywords suggest. In this paper, we present a new corpus of 4,442 yes-no question-answer pairs from Twitter. We discuss linguistic characteristics of answers whose interpretation is yes or no, as well as answers whose interpretation is unknown. We show that large language models are far from solving this problem, even after fine-tuning and blending other corpora for the same problem but outside social media.

Discussion (0). Continue with ORCID to comment.

Pith tools