[Most-ai-contest] About the Training/Testing Data for the Aggregation Module
江侑倫
chiangyulun0914於iis.sinica.edu.tw
Fri 11月 29 08:59:03 CST 2019
Dear Dr. Chang,
Enclose please find the attachments of dispatcher layer prediction.
Thanks.
江侑倫
自然語言理解實驗室
中央研究院資訊科學研究所
Yu-Lun Chiang
Natural Language Understanding Lab
Institute of Information Science, Academia Sinica
Mobile: +886-975279013 (Taiwan)
江侑倫 <chiangyulun0914 at iis.sinica.edu.tw> 於 2019年11月28日 週四 下午4:39寫道:
> Dear Dr. Chang,
>
> Enclose please find the attachments of yes-no module prediction.
> Thanks.
>
> 江侑倫
> 自然語言理解實驗室
>
> 中央研究院資訊科學研究所
>
> Yu-Lun Chiang
>
> Natural Language Understanding Lab
>
> Institute of Information Science, Academia Sinica
> Mobile: +886-975279013 (Taiwan)
>
>
> 張光瑜 <simonc at iis.sinica.edu.tw> 於 2019年11月27日 週三 上午9:58寫道:
>
>> Dear all,
>>
>> As I mentioned yesterday, if you are working on answer generating
>> modules, please sent me your early results if you have any.
>> Please use the datasets in FGC_Release_1.2. For the output format,
>> please use the following one based on FGC_Questions_S7_1.json, that is:
>> [
>> {
>> "DID": "document id",
>> "QUESTIONS": [
>> {
>> "QID": "question id",
>> "AMODE": {
>> "answer mode": {
>> "ACAND": [
>> {
>> "SCORE": (confidence score),
>> "ATEXT": "answer text",
>> "AMODULE": "answer generating module"
>> "ATOKEN": [
>> {
>> "text": "token text",
>> "start": (index, -1 if not in
>> the passage)
>> },
>> ...
>> ]
>> },
>> ...
>> ]
>> }
>> }
>> },
>> ...
>> ]
>> },
>> ...
>> ]
>> Notice that there is an additional "AMODULE" field in the "ACAND" list.
>> Thank you for all your help.
>>
>> Regards,
>> 張光瑜
>>
>> _______________________________________________
>> Most-ai-contest mailing list
>> Most-ai-contest at iis.sinica.edu.tw
>> https://www.iis.sinica.edu.tw/mailman/listinfo/most-ai-contest
>>
>
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