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[{"sent1_word_ids": [3, 4, 5], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "Israeli air strikes <==> -not aligned- "}, {"sent1_word_ids": [2], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "condemns <==> -not aligned- "}, {"sent1_word_ids": [6], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": ". <==> -not aligned- "}, {"sent1_word_ids": [0], "sent2_word_ids": [1], "type": "NOALI", "score": null, "comment": "-not aligned- <==> Series "}, {"sent1_word_ids": [1], "sent2_word_ids": [6], "type": "SIMI", "score": 2.0, "comment": "Syria <==> Iraq "}, {"sent1_word_ids": [0], "sent2_word_ids": [2, 3, 4], "type": "NOALI", "score": null, "comment": "-not aligned- <==> of deadly attacks "}, {"sent1_word_ids": [0], "sent2_word_ids": [5], "type": "NOALI", "score": null, "comment": "-not aligned- <==> strikes"}]
[ "Turkish", "PM", "urges", "to", "end", "protests", "in", "Istanbul" ]
[ "Turkish", "police", "fire", "teargas", "at", "protesters", "in", "Istanbul" ]
[ 0.4, 0.4, 1, 1, 1, 0.2, 0, 0 ]
[ 0.4, 0.4, 1, 1, 0.2, 0.2, 0, 0 ]
en
en
headlines
97
[{"sent1_word_ids": [0], "sent2_word_ids": [3], "type": "NOALI", "score": null, "comment": "-not aligned- <==> fire "}, {"sent1_word_ids": [1, 2], "sent2_word_ids": [1, 2], "type": "SIMI", "score": 3.0, "comment": "Turkish PM <==> Turkish police "}, {"sent1_word_ids": [3], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "urges <==> -not aligned- "}, {"sent1_word_ids": [6], "sent2_word_ids": [5, 6], "type": "SIMI", "score": 4.0, "comment": "protests <==> at protesters "}, {"sent1_word_ids": [4, 5], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "to end <==> -not aligned- "}, {"sent1_word_ids": [0], "sent2_word_ids": [4], "type": "NOALI", "score": null, "comment": "-not aligned- <==> teargas "}, {"sent1_word_ids": [7, 8], "sent2_word_ids": [7, 8], "type": "EQUI", "score": 5.0, "comment": "in Istanbul <==> in Istanbul"}]
[ "Start", "of", "San", "Fermin", "bull-running", "festival", "briefly", "delayed", "as", "view", "obstructed", "by", "Basque", "flag" ]
[ "San", "Fermin", "bull-running", "festival", "starts" ]
[ 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 0, 0, 0, 0, 0 ]
en
en
headlines
98
[{"sent1_word_ids": [2, 3, 4, 5, 6], "sent2_word_ids": [1, 2, 3, 4], "type": "EQUI", "score": 5.0, "comment": "of San Fermin bull-running festival <==> San Fermin bull-running festival "}, {"sent1_word_ids": [12, 13, 14], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "by Basque flag <==> -not aligned- "}, {"sent1_word_ids": [7], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "briefly <==> -not aligned- "}, {"sent1_word_ids": [10], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "view <==> -not aligned- "}, {"sent1_word_ids": [9], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "as <==> -not aligned- "}, {"sent1_word_ids": [8], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "delayed <==> -not aligned- "}, {"sent1_word_ids": [11], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "obstructed <==> -not aligned- "}, {"sent1_word_ids": [1], "sent2_word_ids": [5], "type": "EQUI", "score": 5.0, "comment": "Start <==> starts"}]
[ "Former", "LAPD", "officer", "sought", "in", "Irvine", "slayings" ]
[ "Former", "CIA", "officer", "sentenced", "to", "30", "months", "in", "prison", "for", "info", "leak" ]
[ 0.4, 0.4, 0.4, 1, 1, 1, 1 ]
[ 0.4, 0.4, 0.4, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
en
en
headlines
99
[{"sent1_word_ids": [0], "sent2_word_ids": [8, 9], "type": "NOALI", "score": null, "comment": "-not aligned- <==> in prison "}, {"sent1_word_ids": [0], "sent2_word_ids": [5, 6, 7], "type": "NOALI", "score": null, "comment": "-not aligned- <==> to 30 months "}, {"sent1_word_ids": [1, 2, 3], "sent2_word_ids": [1, 2, 3], "type": "SIMI", "score": 3.0, "comment": "Former LAPD officer <==> Former CIA officer "}, {"sent1_word_ids": [5, 6, 7], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "in Irvine slayings <==> -not aligned- "}, {"sent1_word_ids": [0], "sent2_word_ids": [4], "type": "NOALI", "score": null, "comment": "-not aligned- <==> sentenced "}, {"sent1_word_ids": [4], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "sought <==> -not aligned- "}, {"sent1_word_ids": [0], "sent2_word_ids": [10, 11, 12], "type": "NOALI", "score": null, "comment": "-not aligned- <==> for info leak"}]
[ "Pakistan", "court", "demands", "`", "blasphemy", "'", "rampage", "answers" ]
[ "Pakistan-UN", "report", "reveals", "alarming", "levels", "of", "drug", "use" ]
[ 0.6, 0.6, 1, -1, 1, -1, 1, 1 ]
[ 0.6, 0.6, 1, 1, 1, 1, 1, 1 ]
en
en
headlines
100
[{"sent1_word_ids": [0], "sent2_word_ids": [4, 5], "type": "NOALI", "score": null, "comment": "-not aligned- <==> alarming levels "}, {"sent1_word_ids": [4, 5, 6, 7, 8], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "` blasphemy ' rampage answers <==> -not aligned- "}, {"sent1_word_ids": [1, 2], "sent2_word_ids": [1, 2], "type": "REL", "score": 2.0, "comment": "Pakistan court <==> Pakistan-UN report "}, {"sent1_word_ids": [0], "sent2_word_ids": [6, 7, 8], "type": "NOALI", "score": null, "comment": "-not aligned- <==> of drug use "}, {"sent1_word_ids": [0], "sent2_word_ids": [3], "type": "NOALI", "score": null, "comment": "-not aligned- <==> reveals "}, {"sent1_word_ids": [3], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "demands <==> -not aligned-"}]

Training and test data for the task of Recognizing Semantic Differences (RSD).

See the paper for details on how the dataset was created, and see our code at https://github.com/ZurichNLP/recognizing-semantic-differences for an example of how to use the data for evaluation.

The data are derived from the SemEval-2016 Task 2 for Interpretable Semantic Textual Similarity organized by Agirre et al. (2016). The original URLs of the data are:

The translations into non-English languages have been created using machine translation (DeepL).

Citation

@inproceedings{vamvas-sennrich-2023-rsd,
      title={Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents},
      author={Jannis Vamvas and Rico Sennrich},
      month = dec,
      year = "2023",
      booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
      address = "Singapore",
      publisher = "Association for Computational Linguistics",
}
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