The JIGS (Joke-like IncongruityGathering System) was developed as part of the SNSF-funded project “Le Rire des vers / Mining the comic verse”. It is used to tag JOLIS (Joke-Like Incongruity Segments) A JOLIS (joke-like incongruity segment) is a text segment where: Two possible meanings are present (S1/S2), and The two meanings (scripts) are ovelapping in the same segment, and The two scripts are incompatible. If all three criteria are met, the segment is a JOLI-S The corpus featured in the “Le Rire des vers / Mining the comic verse” contains 8255 French poems that have been annotated for versification features by means of Richard Renault's Malherbe. Some of these poems have been obtained from the anamètre database, others have been gathered and prepared by us. Part of the poems has been annotated for joke-like incongruities and for tunes they are associated with (tune annotation is still preliminary). Corpus is stored in a single JSON file and simultaneously in XML files (one XML file per poem). XML structure The structure of each XML files is as follows: [title of the poem] [author of the poem] [title of the book the poem comes from] Le Rire des vers [text of the segment]... ... ... ... ... The attributes of the elements are: id: id of the poem tune_name: name of the associated tune as stated in the text (optional) tune_name_standardized: standardized name of the tune (optional) tune_genre: genre of the tune (optional) tune_composer: composer of the tune (optional) for other attributes see https://crisco4.unicaen.fr/verlaine/index.php?navigation=description id: id of the stanza type: stanza type, e.g. quatrain rhyme: rhyme scheme, e.g. abba id: id of the line text: text of the line for other attributes see https://crisco4.unicaen.fr/verlaine/index.php?navigation=description id: id of the word text: text of the word pos_stanford: part-of-speech tag assigned Stanford Tagger pos_treetagger: part-of-speech tag assigned by TreeTagger lemma_treetagger: part-of-speech tag assigned by TreeTagger id: id of the segment for other attributes see https://crisco4.unicaen.fr/verlaine/index.php?navigation=description id: unique id of the joli from: id of word element where joli starts to: id of word element where joli ends so_actual_non: [Only one script is real/actualised], or [Only one script is literal (vs figurative)] so_normal_abnormal: [Only one script is normal] so_possible_impossible: [Only one script is possible] so_good_bad: [Only one script is positive or negative] so_life_death: [Script pitting life against death], or [Script pitting animated against inanimate] so_obscenity: [Sexual/satological reference] so_money: [Mention of money] so_high_low_stature: [Mention of high/low stature] so_human_non: [Only one script is human] s1_s2: open field: [Short description of script 1 and script 2] si: open field: [Brief description of the situation] ta: open field: short mention of the target (if any) la: open field: remarks about the language la_argot: [use of slang] la_cacography: [use of misspellings] comment: optional comment annotator: id of the annotator / from: id of word element where jabline/punchline starts to: id of word element where jabline/punchline ends comment: optional comment JSON structure JSON file follows similar logic as the XMLs. It is (in Python terms) a list of dicts representing individual poems. Beside keys listed above under attributes, each poem holds an “lg” key, which contains a list of dicts representing individual stanzas. Beside keys listed above under attributes, each stanza holds an “l” key, which contains a list of dicts representing individual lines… JOLIs are stored under the “jolis” key of individual poems.