This repository contains the dataset used in our paper:
Not Every Quantifier Can Be Negated
Proceedings of SuB30
The repository is intended to make our data, annotation scheme, and assumptions transparent and reusable.
- Dataset:
The dataset is stored as JSON arrays, organized by domain and language. - Paper context:
The dataset supports the empirical analysis presented in the paper, focusing on the interaction between quantifiers and negation across languages.
Each JSON file consists of an array of hits.
A hit is a sentence that matches our ruleset for detecting negation–quantifier interactions.
Each element in the array has the following structure:
[
{
"id": "114302_0",
"neg_idx": 20,
"quantor": "all",
"quantor_idx": 21,
"sent": [
"Birkenstock",
"sold",
"32",
"million",
"shares",
"at",
"$",
"46",
"per",
"share",
"(",
"ahead",
"of",
"the",
"green",
"shoe",
"option",
")",
"although",
"that",
"not",
"all",
"proceeds",
"benefited",
"the",
"company",
"with",
"some",
"proceeds",
"going",
"to",
"selling",
"shareholders",
".",
"\n"
],
"source": {
"date": "2024-01-19\n",
"id": 114302,
"sent": "Birkenstock sold 32 million shares at $46 per share (ahead of the green shoe option) although that not all proceeds benefited the company with some proceeds going to selling shareholders.\n",
"source": "https://seekingalpha.com/article/4663712-birkenstock-landing-on-its-feet?source=feed_all_articles"
},
"type": "neg"
}
]-
id A unique identifier for the hit.
-
sent The sentence containing the quantifier and negation.
-
neg_idx Token index of the negation marker.
-
quantor_idx Token index of the detected target quantifier.
-
quantor The surface form of the detected quantifier.
-
type The classification of the negation–quantifier interaction following Barwise & Cooper (1981):
negprobable_negun_neghighly_negun_neg(ne)un_neg(ne-contrast)
-
source The original data source (either a sentence from the Wortschatz project or a tweet).
- neg Clear cases where the quantifier can be negated.
- probable_neg Cases where negation is possible but context-dependent.
- un_neg Quantifiers that generally resist negation.
- highly_neg Quantifiers that strongly license negation.
- un_neg(ne) / un_neg(ne-contrast) Special cases where the quantifier scopes over a noun that can be interpreted as a named entity, which affects negation behavior (e.g., [Context: Starkey will come.] oh no, not Starkey. Please not Starkey. [Tweet ID 102069626590081024]).
{ every, all, a, one, two, three, ten, many, much, lot, plenty }
{ each, some, no, none, any, couple }
{ few, little, several, lot }
{ most }
{ jeder, jede, jedes, jed, jedem, jeden,
alle, all, aller, allem, allen,
ein, eine, eins, einer, einen, einem,
zwei, drei, vier, fünf, sechs, sieben, acht, neun, zehn,
viele, viel, vielen, vieler, vielem,
zahlreich, zahlreiche, zahlreichen, zahlreichem, zahlreicher }
{ mancher, manche, manches, manchen, manchem,
einige, einiges, einiger, einigen, einigem,
kein, keine, keiner, keins, keinen, keinem,
irgendein, irgendeine, irgendeiner, irgendeinem, irgendeinen, irgendeins }
{ wenige, wenig, weniger, wenigere, wenigeren, wenigen, wenigsten, wenigste,
mehrere, mehreren, mehrerer, mehrerem, mehreres }
{ meiste, meisten, meister, meistes, meistem }
If you use this dataset, please cite our paper:
TODO
- Token indices are based on the tokenization used during data extraction.
- The dataset is intended for linguistic and computational semantics research on negation and quantification.