[Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
郭家銍
jerrykuo7727於gmail.com
日 3月 29 11:09:14 CST 2020
Dear all,
Pease find the week 3 questions in the attachment.
Best regards,
郭家銍
范正忠 <jjfan於iis.sinica.edu.tw> 於 2020年3月27日 週五 下午5:23寫道：
> Dear all,
>
> Please find FGC_release_1.7.11 with correct atoken position index.
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> Best,
> jjfan
>
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Thursday, March 26, 2020 11:46:55 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
> Please find FGC_release_1.7.10 with golden answer corrections.
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
> Best,
> jjfan
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Monday, March 23, 2020 9:41:09 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
>
> Please find FGC_release_1.7.9 & DRCD_1.7.9 with the last version of
> NER (Chiao-Wei version)
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> Best,
> jjfan
>
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Wednesday, March 18, 2020 2:27:45 PM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
>
> Please find DRCD with NER (Chiao-Wei version) DRCD_1.7.8
>
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> Best,
> jjfan
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Monday, March 16, 2020 3:07:34 PM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all
>
> Please find FGC_release_1.7.8 with improved NE extraction.
> There are total 56,732 NEs (in train, dev, test data set) as compared with
> 1.7.7 52,996 NEs(7% increase)
>
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> Best,
> jjfan
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Thursday, March 12, 2020 8:56:59 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
>
> Please use this version FGC_release_1.7.7
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> with adjustment of the passage of D097
>
> Best,
> jjfan
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Wednesday, March 11, 2020 6:53:23 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
>
> Update FGC_release_1.7.6 & DRCD dataset (
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK)
> with
>
> 1. refinement of sentence split algorithm, which solves the embedded
> quotation issue occurred in D033
>
> "《美国－墨西哥－加拿大协议》United States-Mexico-Canada Agreement,
> （简称《美墨加协议》USMCA；西班牙语：Tratado entre México, Estados Unidos y
> Canadá，T-MEC；法语：Accord
> Canada–États-Unis–Mexique，ACEUM）是加拿大、墨西哥和美国之间的一项自由贸易协定，"
>
> 2. refinement of NER character index issue when a sentence begins with
> space character occurred in D087
>
> " 记者 宋玲 报导 以往在台北高雄的观光重镇才会看得到的双层巴士 今天在屏东亮向 顶层开阔的空间 游客可以边吹风边看风景 下层则备有冷气
> 车上将由有导览人员提供解说服务。"
>
> Best,
> jjfan
>
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Friday, March 6, 2020 8:12:52 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
>
> Update FGC_release_1.7.5 & DRCD dataset
>
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> The modifications:
> 1. Information Extraction (NER, TOKEN, POS) is moved from DIE or QIE into
> the corresponding sentences with IE keyword. Since we found that Stanford
> Core NLP will fail while the length of given paragraph is greater than 653
> characters
>
> 2. DRCD (including DRCD, ASR, Kaggle, Lee) are all provided with IE
> keyword.
>
> Best,
> jjfan
>
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Monday, March 2, 2020 8:20:55 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
>
> Update FGC_release_1.7.4 with corrections of wrong answer-type and
> answer-mode
>
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> In order to improve performance we let more answer-modules participate in
> answering questions.
> 1. For those questions with answer-type 'date-duration', we add
> 'date-duration' to their answer-mode
> 2. For those questions with answer-type 'num-measure', we add
> 'arithmetic-operations' to their answer-mode
>
> So the distribution of this new released data-set as follows (Please note
> that the count of answer mode is more than that of answer type, since for
> each question there will be more than one answer mode assigned)
>
> Train
> Answer Type YesNo Num-Measure Kinship Person Date-Duration Location
> Organization Object Event Misc Total
> 87 71 59 89 158 119 84 181 14 13 875
> 9.94% 8.11% 6.74% 10.17% 18.06% 13.60% 9.60% 20.69% 1.60% 1.49% 100.00%
> Answer Mode YesNo (是否題) Multi-Spans-Extraction (列舉題型) Kinship Single-Span-Extraction
> (單一答案) Date-Duration Arithmetic-Operations Counting Comparing-Members
> Common-Sense
> 87 87 56 651 158 71 11 9 0 1130
> 7.70% 7.70% 4.96% 57.61% 13.98% 6.28% 0.97% 0.80% 0.00% 100.00%
> Dev
> Answer Type YesNo Num-Measure Kinship Person Date-Duration Location
> Organization Object Event Misc Total
> 28 27 30 27 26 30 19 48 2 5 242
> 11.57% 11.16% 12.40% 11.16% 10.74% 12.40% 7.85% 19.83% 0.83% 2.07% 100.00%
> Answer Mode YesNo (是否題) Multi-Spans-Extraction (列舉題型) Kinship Single-Span-Extraction
> (單一答案) Date-Duration Arithmetic-Operations Counting Comparing-Members
> Common-Sense
> 28 31 26 179 26 27 2 0 0 319
> 8.78% 9.72% 8.15% 56.11% 8.15% 8.46% 0.63% 0.00% 0.00% 100.00%
> Test
> Answer Type YesNo Num-Measure Kinship Person Date-Duration Location
> Organization Object Event Misc Total
> 25 19 12 14 31 27 20 34 4 4 190
> 13.16% 10.00% 6.32% 7.37% 16.32% 14.21% 10.53% 17.89% 2.11% 2.11% 100.00%
> Answer Mode YesNo (是否題) Multi-Spans-Extraction (列舉題型) Kinship Single-Span-Extraction
> (單一答案) Date-Duration Arithmetic-Operations Counting Comparing-Members
> Common-Sense
> 25 26 6 134 31 20 3 0 0 245
> 10.20% 10.61% 2.45% 54.69% 12.65% 8.16% 1.22% 0.00% 0.00% 100.00%
>
>
>
>
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Wednesday, February 26, 2020 2:00:09 PM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear All,
>
> Update DROP dataset for date-duration & arithmetic-operation mode (DROP.7z)
>
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> Best,
> jjfan
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Friday, February 21, 2020 12:45:00 PM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear All,
>
> Enclosed please find FGC_release_1.7.3 version with additional information
>
> 1. For each passage & question, (NER, CORF, RELATION, TOKEN, POS) are
> extracted for your training requirements
> 2. FGC_release_ss_test.json has 132 questions all have
> 'Single-Span-Extraction' answer-mode for your benchmark dataset
>
> Best,
> jjfan
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Friday, February 21, 2020 9:46:23 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear All,
>
> Updated news (PBS, MOTI, CDC, CNA) dataset
>
> https://drive.google.com/drive/folders/1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> jjfan
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Friday, February 14, 2020 2:36:03 PM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear All,
>
> Updated FGC_release_1.7.2 with correction of answer_mode & answer_type
>
> https://drive.google.com/open?id=1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> jjfan
>
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Monday, February 10, 2020 12:36:32 PM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear All,
>
> Updated FGC_release_1.7.1 with refinement
>
> 1. add SHINT:[] in QTYPE:"申論"
> 2. json.dump(output_dict, out_fh, indent=4, ensure_ascii=False) for easy
> viewer
>
> Best,
> jjfan
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Wednesday, February 5, 2020 11:31:21 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
>
> Please refer to the following link for FGC_release_1.7 & DuReader dataset
>
> https://drive.google.com/open?id=1y0UCb-n1YKlKUsQk2GJz6iKJqQFJ25rK
>
> jjfan
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Wednesday, February 5, 2020 8:23:10 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> 20 domains
>
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Wednesday, February 5, 2020 7:51:36 AM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> 更正:
>
> 1. DM 19 domains assigned person: 廖沛俊, 謝尊安, 蔡仕竑, 梁朝鈞
> 1.1 *2/7* 前提供每個 domian 的'訂單'細項 (依據大會提供的 CSV, 對話腳本, 參考網路相關訂單系統,
> 個人的經驗), 格式可以參考 ppt 內的 GIST format
> 1.2 *2/14* 根據'訂單'細項, 產出 system bot question texts, user bot answer
> statements (& corresponding regular expression), 細節的部分可以請教 Dr. Lin
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Tuesday, February 4, 2020 5:11:28 PM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> 2.2 謝尊安 & Smolka co-work
> 更正
> 2.2 郭家銍 & Smolka co-work
>
>
> ------------------------------
> *From: *"范正忠" <jjfan於iis.sinica.edu.tw>
> *To: *"Balancy" <balancy於iis.sinica.edu.tw>
> *Cc: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Tuesday, February 4, 2020 5:07:54 PM
> *Subject: *Re: [Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
>
> Enclosed please find
> 1. Dr. Lin's DM presentation slides and
> 2. The last Dialog dataset (with CVS, output order items, and dialog
> examples)
> 3. 相關時程如下:
>
> [image: 時程]
>
>
> 謝謝大家的參與, 今日會議結論如下:
>
> 1. DM 19 domains assigned person: 廖沛俊, 謝尊安, 蔡仕竑, 梁朝鈞
> 1.1 2/7 前提供每個 domian 的'訂單'細項 (依據大會提供的 CSV, 對話腳本, 參考網路相關訂單系統, 個人的經驗),
> 格式可以參考 ppt 內的 GIST format
> 1.2 2/4 根據'訂單'細項, 產出 system bot question texts, user bot answer
> statements (& corresponding regular expression), 細節的部分可以請教 Dr. Lin
>
> 2. 申論題:
> 2.1 Smolka 會先 implement 'Query-focused' model on Chinese language
> 2.2 謝尊安 & Smolka co-work
>
> 3. 1.7 ver. Train/Dev/Test dataset 調整相同的 passage 不會同時出現在 Train/Dev/Test
> dataset, 完成後再 release
>
> 4. 各個 module 如果完成改善功能, 請提供給我進行系統 e2e 的 performance test
>
> 5. NN Library 暫定一 Pytorch 為主, 版本請相關的 owners s 協商一 common version
>
>
> jjfan
>
> ------------------------------
> *From: *"Balancy" <balancy於iis.sinica.edu.tw>
> *To: *"Most-ai Contest" <Most-ai-contest於iis.sinica.edu.tw>
> *Sent: *Tuesday, February 4, 2020 8:04:40 AM
> *Subject: *[Most-ai-contest] 科技大擂台討論會(Today, 12:30-15:00 pm)
>
> Dear all,
>
> 今天有科技大擂台討論會，時間及地點如下，請大家預留時間參加。
>
> 時間：2/4 (二), 12:30-15:00PM
> 地點：新館101會議室
>
> 注意事項
> *請今天報告人員於開會前，將您的報告檔案存到會議室電腦的桌面上。
>
> 感謝大家配合:)
>
> ----
> Best,
> 吳佩瑾 Peggy, Pei-Jin Wu
> 蘇克毅老師實驗室助理
> Administrative Assistant
> Institute of Information Science, Academia Sinica
> Tel: 02-2788-3799 ext . 1453
> Email: balancy於iis.sinica.edu.tw
>
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