<KNOWLEGED_place>。<KNOWLEGED_wikiData>。不包含以下類型：
<IDIOM>: 成語<FUNC_determiner>: 定冠詞 (或中文系稱的「定語」)<TIME_holiday>: 和節日相關的時間。<TIME_justtime>: 和現在或瞬時相關的時間。<TIME_day>: 和以「天」為單位相關的時間。<TIME_week>: 和以「週」為單位相關的時間。<TIME_month>: 和以「月」為單位相關的時間。<TIME_season>: 和以「季」為單位相關的時間。<TIME_year>: 和以「年」為單位相關的時間。<TIME_decade>: 和以「比年還要長的時間」為單位相關的時間。
以上幾個您都可以簡單地把它視為「時間副詞」。
<ENTITY_num>: 單純數字表示
<ENTITY_classifier>: 量詞 (或中文系稱的「分類詞」)<ENTITY_measurement>: 量測詞 (表示是一個測量值。例如「一公斤」、「30公分」…等)<ENTITY_person>: 名詞，且系統推測應該指某個「人類」。(以漢人常見三字名、單名為主)<ENTITY_pronoun>: 代名詞。(若有需要，可再細分「專指代名詞」(e.g., 爸爸) 或「泛指代名詞」(e.g., 老公公))<ENTITY_possessive>: 所有格名詞。<ENTITY_noun>: 系統已認得的名詞。<ENTITY_nounHead>: 名詞組的中心語。<ENTITY_nouny>: 系統推測應該是名詞。<ENTITY_oov>: 系統不知道是什麼，但把它當名詞用。<ENTITY_DetPhrase>: 限定詞詞組，由一個「限定詞 (這、那)」和一個「量詞 (一部，兩台)」組成。e.g., <ENTITY_DetPhrase>這一台</ENTITY_DetPhrase>
以上幾個您都可以簡單地把它視為「名詞」。有幾個詞組組合規則如下：
<MODIFIER>: 形容詞及副詞。
<MODIFIER_color>: 顏色形容詞。<ModifierP>: 形容詞或副詞詞組。由一個「形容詞/副詞」加上一「…地」組成。e.g., <ModifierP>明顯的</Modifier><FUNC_degreeHead>: 形容詞組的程度中心語(很、極、非常…等)。表示形容詞到這裡就不會再疊加了。其旁邊形容詞會和此程度中心語形成一個用來「描述程度」的修飾、形容用語。<DegreeP>: 程度詞詞組：由一個「形容詞」加上一個「程度中心語 (e.g.,很、非常…)」組成。e.g., <DegreeP>很明顯</DegreeP><ASPECT>: 時態標記 (了、著…等)<QUANTIFIER>: 量化詞標記 (都、全…等)<LOCATION>: 地名<RANGE_locality>: 地名範圍標記<RANGE_period>: 時間範圍標記<FUNC_modifierHead>: 形容詞及副詞組的中心語。<MODAL>: 情態標記詞 (e.g., 可以、能、會…)<AUX>: 助動詞 (e.g., 是、為…)
<CLAUSE_AnotAQ>: A-not-A 問句
<CLAUSE_YesNoQ>: 是非問句<CLAUSE_WhoQ>: 「誰」問句<CLAUSE_WhatQ>: 「物」問句<CLAUSE_WhereQ>: 「何地」問句<CLAUSE_WhenQ>: 「何時」問句<CLAUSE_HowQ>: 「程度/過程」問句<CLAUSE_WhyQ>: 「原因」問句<CLAUSE_Particle>: 沒什麼特別意義，就只是一個句子裡的小元素。(e.g., 啊、啦、喔…)
<FUNC_negation>: 否定功能詞
<FUNC_conjunction>: 連接功能詞<FUNC_inter>: 外向功能詞 (完整語意需在本句以外滿足。e.g., 然而…)<FUNC_inner>: 內向功能詞 (完整語意可在本句以內滿足。e.g., 在…)<ACTION_lightVerb>: 輕動詞 (e.g., 被、把、弄…),<ACTION_verb>: 動詞<ACTION_quantifiedVerb>: 量化動詞 (表示該動作只做了一定程度的量。e.g., 看一看、瞧瞧、嚐嚐看…等)<ACTION_eventQuantifier>: 動作量詞：長得很像名詞的量詞 (e.g., 一部、兩台)，但它的測量目標是「動作的次數」，而不是「名詞的數量」。e.g., 跑 <ACTION_eventQuantifier>一趟</ACTION_eventQuantifier><KNOWLEDGE_addTW>: 台灣地址<KNOWLEDGE_routeTW>: 台灣道路名稱<KNOWLEDGE_lawTW>: 法條索引<KNOWLEDGE_url>: 網址<KNOWLEDGE_place>: 政府開放平台中的觀光景點<KNOWLEDGE_wikiData>: WikiData 開放資料<KNOWLEDGE_currency>: 金錢<UserDefined>: 使用者自定義的詞彙Articut API URL
POST https://api.droidtown.co/Articut/API/
上傳內容 (JSON 格式)
{
"username": "test@email.com",
"api_key": "anapikeyfordocthatdoesnwork@all",
"input_str": "我想過過過兒過過的日子。"
}
回傳內容 (JSON 格式)
{
"status": True,
"msg": 'Success!',
"result_pos": ["<ENTITY_pronoun>我</ENTITY_pronoun><ACTION_verb>想</ACTION_verb><ACTION_quantifiedVerb>過過</ACTION_quantifiedVerb><ENTITY_pronoun>過兒</ENTITY_pronoun><VerbP>過過</VerbP><FUNC_inner>的</FUNC_inner><ENTITY_noun>日子</ENTITY_noun>", "。"],
"result_obj": [[{"text": "我", "pos": "ENTITY_pronoun"},
{"text": "想", "pos": "ACTION_verb"},
{"text": "過過", "pos": "ACTION_quantifiedVerb"},
{"text": "過兒", "pos": "ENTITY_pronoun"},
{"text": "過過", "pos": "VerbP"},
{"text": "的", "pos": "FUNC_inner"},
{"text": "日子", "pos": "ENTITY_noun""}],
[{"text": "。", "pos": "PUNCTUATION"}]],
"result_segmentation": "我/想/過/過/過兒/過/過/的/日子/。/",
"exec_time": 0.015885591506958008,
"version": "v183",
"level": "lv2",
"word_count_balance": 1991
}
Versions API URL
POST https://api.droidtown.co/Articut/Versions/
上傳內容 (JSON 格式)
{
"username": "test@email.com",
"api_key": "anapikeyfordocthatdoesnwork@all"
}
回傳內容 (JSON 格式)
{
"status": True,
"msg": "Success!",
"versions": [
{
"version": "latest",
"release_date": "2019-02-22",
"level": ["lv1"],
},
{
"version": "v100"
"release_date": "2019-02-22",
"level": ["lv1"],
},
{
"version": "v002"
"release_date": "2019-02-20",
"level": ["lv1"],
}
]
}
因為 Articut 只處理「語言知識」而不處理「百科知識」。
我們提供「使用者自定義」詞彙表的功能，並標記為
<UserDefined>
。使用 Dictionary 格式，請自行編寫。
Articut API URL
POST https://api.droidtown.co/Articut/API/
上傳內容 (JSON 格式)
{
"username": "test@email.com",
"api_key": "anapikeyfordocthatdoesnwork@all",
"input_str": "我正在計劃地球人類補完計劃",
"version": "v132",
"level": "lv1",
"user_defined_dict_file": {"地球人類補完計劃": ["人類補完計劃", "補完計劃"]}
}
回傳內容 (JSON 格式)
{
"exec_time": 0.013453006744384766,
"level": "lv1",
"msg": "Success!",
"result_pos": ["<ENTITY_pronoun>我</ENTITY_pronoun><ASPECT>正在</ASPECT><ACTION_verb>計劃</ACTION_verb><UserDefined>地球人類補完計劃</UserDefined>"],
"result_segmentation": "我/正在/計劃/地球人類補完計劃/",
"status": True,
"version": "v132",
"word_count_balance": 99987
}
政府開放平台中存有「交通部觀光局蒐集各政府機關所發佈空間化觀光資訊」。Articut 可取用其中的資訊，並標記為 <KNOWLEDGE_place>
Articut API URL
POST https://api.droidtown.co/Articut/API/
上傳內容 (JSON 格式)
{
"username": "test@email.com",
"api_key": "anapikeyfordocthatdoesnwork@all",
"input_str": "花蓮的原野牧場有一間餐廳",
"version": "v137",
"level": "lv1",
"opendata_place": true
}
回傳內容 (JSON 格式)
{
"exec_time": 0.013453006744384766,
"level": "lv1",
"msg": "Success!",
"result_pos": ["<LOCATION>花蓮</LOCATION><FUNC_inner>的</FUNC_inner><KNOWLEDGE_place>原野牧場</KNOWLEDGE_place><ACTION_verb>有</ACTION_verb><ENTITY_classifier>一間</ENTITY_classifier><ENTITY_noun>餐廳</ENTITY_noun>"],
"result_segmentation": "花蓮/的/原野牧場/有/一間/餐廳/",
"status": True,
"version": "v137",
"word_count_balance": 99988
}
ACTION_verb 標記的動詞詞彙。每個句子內的動詞為一個 list。ENTITY_noun、ENTITY_nouny、ENTITY_nounHead 或 ENTITY_oov 標記的名詞詞彙。每個句子內的名詞為一個 list。KNOWLEDGE_place 標記的非行政地點名稱詞彙，例如「鹿港老街」、「宜蘭運動公園」。每個句子內的景點為一個 list。<CLAUSE_Q> 標籤的句子。例如「是非問句：你認識他嗎？」<KNOWLEDGE_addTW> 標籤的台灣地址字串。例如「台北市中山區民權東路二段109號」。<KNOWLEDGE_currency> 標籤的貨幣金額字串。每個句子內的貨幣金額為一個 list。<KNOWLEDGE_currency> 標籤與 <ENTITY_noun> <ENTITY_num> 組合標籤的貨幣金額字串。每個句子內的貨幣金額為一個 list。<KNOWLEDGE_wikiData> 標籤的 Wikidata 標題字串。每個句子內的 Wikidata 標題文字為一個 list。Articut API URL
POST https://api.droidtown.co/Articut/Addons/
上傳內容 (JSON 格式) username及api_key為必填
{
"username": "test@email.com",
"api_key": "anapikeyfordocthatdoesnwork@all",
"result_pos": ["<MODIFIER>剛剛</MODIFIER><ACTION_verb>得知</ACTION_verb><KNOWLEDGE_place>435藝文特區</KNOWLEDGE_place><AUX>是</AUX><ENTITY_classifier>個</ENTITY_classifier><ACTION_verb>遛</ACTION_verb><ENTITY_nouny>小孩</ENTITY_nouny><FUNC_inner>的</FUNC_inner><MODIFIER>好</MODIFIER><ENTITY_noun>地方</ENTITY_noun>",
"，",
"<ENTITY_pronoun>你</ENTITY_pronoun><CLAUSE_YesNoQ><AUX>是</AUX><FUNC_negation>否</FUNC_negation></CLAUSE_YesNoQ><ACTION_verb>知道</ACTION_verb><TIME_day>傍晚</TIME_day><MODAL>可以</MODAL><ACTION_verb>到</ACTION_verb><KNOWLEDGE_place>觀音亭</KNOWLEDGE_place><ACTION_verb>去</ACTION_verb><ACTION_verb>看</ACTION_verb><ENTITY_nouny>夕陽</ENTITY_nouny><CLAUSE_Particle>喔</CLAUSE_Particle>",
"!",
"<TIME_day>今日</TIME_day><TIME_day>傍晚</TIME_day><FUNC_inner>在</FUNC_inner><LOCATION>新竹市</LOCATION><LOCATION>北區</LOCATION><ACTION_verb>溜</ACTION_verb><ENTITY_nouny>小狗</ENTITY_nouny>",
"。"],
"func": ["get_all"],
"index_with_pos": true
}
回傳內容 (JSON 格式)
{
"msg": "Success!",
"status": true,
"results": {"addtw_list": [[], [], [], [], [], []],
"content_word_list": [[[10, 12, "剛剛"],
[36, 38, "得知"],
[159, 160, "遛"],
[188, 190, "小孩"],
[241, 242, "好"],
[266, 268, "地方"]],
[],
[[122, 124, "知道"],
[191, 192, "到"],
[257, 258, "去"],
[285, 286, "看"],
[314, 316, "夕陽"]],
[],
[[132, 133, "溜"], [161, 163, "小狗"]],
[]],
"currency_list": [[], [], [], [], [], []],
"currency_greedy_list": [[], [], [], [], [], []],
"location_stem_list": [[],
[],
[],
[],
[[82, 85, "新竹市"], [106, 108, "北區"]],
[]],
"noun_stem_list": [[[188, 190, "小孩"],
[266, 268, "地方"]],
[],
[[314, 316, "夕陽"]],
[],
[[161, 163, "小狗"]],
[]],
"opendata_place_list": [[[69, 76, "435藝文特區"]],
[],
[[223, 226, "觀音亭"]],
[],
[],
[]],
"person_and_pronoun_list": [[],
[],
[[16, 17, "你"]],
[],
[],
[]],
"person_list": [[], [], [], [], [], []],
"question_list": [[],
[],
[["<CLAUSE_YesNoQ>", "你是否知道傍晚可以到觀音亭去看夕陽喔"]],
[],
[],
[]],
"time_list": [[],
[],
[[148, 150, "傍晚"]],
[],
[[10, 12, "今日"],
[33, 35, "傍晚"]],
[]],
"verb_stem_list": [[[36, 38, "得知"],
[159, 160, "遛"]],
[],
[[122, 124, "知道"],
[191, 192, "到"],
[257, 258, "去"],
[285, 286, "看"]],
[],
[[132, 133, "溜"]],
[]],
"wikidata_list": [[], [], [], [], [], []]}
}
<KNOWLEDGE_lawTW> 標籤的法條索引。POST https://api.droidtown.co/Articut/Toolkit/Laws/
username及api_key為必填{
"username": "test@email.com",
"api_key": "anapikeyfordocthatdoesnwork@all",
"result_pos": ["<ENTITY_nouny>被告</ENTITY_nouny><MODIFIER>前</MODIFIER><FUNC_inter>因</FUNC_inter><MODIFIER>非法</MODIFIER><ACTION_verb>持有</ACTION_verb><ENTITY_nouny>槍械</ENTITY_nouny>",
"，",
"<CLAUSE_particle>業</CLAUSE_particle><ACTION_verb>經</ACTION_verb><ENTITY_nouny>前案</ENTITY_nouny><ACTION_verb>判決</ACTION_verb><MODIFIER>非法</MODIFIER><ACTION_verb>持有</ACTION_verb><MODAL>可</MODAL><ACTION_verb>發射</ACTION_verb><ENTITY_nouny>子彈</ENTITY_nouny><ENTITY_nouny>具</ENTITY_nouny><ENTITY_nouny>殺傷力</ENTITY_nouny><FUNC_inner>之</FUNC_inner><ENTITY_nouny>槍枝</ENTITY_nouny><ENTITY_nouny>罪</ENTITY_nouny>",
"，",
"<ACTION_verb>處</ACTION_verb><MODIFIER>有期</MODIFIER><ENTITY_nounHead>徒刑</ENTITY_nounHead><TIME_year>參年</TIME_year><TIME_month>陸月</TIME_month>",
"，",
"<ACTION_verb>併</ACTION_verb><ENTITY_nounHead>科罰金</ENTITY_nounHead><ENTITY_noun>新臺幣</ENTITY_noun><KNOWLEDGE_currency>拾萬元</KNOWLEDGE_currency>",
"。",
"<FUNC_inner>於</FUNC_inner><ENTITY_nouny>前案</ENTITY_nouny><ACTION_verb>偵查</ACTION_verb><ENTITY_noun>過程</ENTITY_noun><RANGE_locality>中</RANGE_locality>",
"，",
"<ENTITY_nouny>南投縣</ENTITY_nouny><ENTITY_noun>政府</ENTITY_noun><ENTITY_nouny>警察局</ENTITY_nouny><LOCATION>集集</LOCATION><ENTITY_oov>分局</ENTITY_oov><FUNC_inner>之</FUNC_inner><ENTITY_nouny>員警</ENTITY_nouny>",
"，",
"<ACTION_verb>持</ACTION_verb><ENTITY_nouny>本院</ENTITY_nouny><ACTION_verb>核發</ACTION_verb><FUNC_inner>之</FUNC_inner><TIME_year>105年度</TIME_year><ENTITY_oov>聲</ENTITY_oov><VerbP>搜字</VerbP><KNOWLEDGE_lawTW>第165號</KNOWLEDGE_lawTW><ACTION_verb>搜索</ACTION_verb><ENTITY_nouny>票</ENTITY_nouny><ACTION_verb>搜索</ACTION_verb>",
"。"],
"func": ["get_all"]
}
{
"msg": "Success!",
"status": true,
"results": {
"law_article_list": ["第165號"],
"crime_list": ["非法持有可發射子彈具殺傷力之槍枝罪"],
"criminal_responsibility_list": ["有期徒刑參年陸月"],
"event_ref_list": []
}
}
POST https://api.droidtown.co/Articut/Toolkit/TFIDF/
{
"username": "test@email.com",
"api_key": "anapikeyfordocthatdoesnwork@all",
"result_segmentation": "沒有/人/可以/決定/你/的/命運/，/命運/在/自己/的/手/上/。/",
"with_weight": true
}
{
"msg": "Success!",
"status": true,
"tfidf": [["命運", 0.27356173082825286],
["你", 0.13678086541412643],
["手", 0.11362471190151249],
["決定", 0.10007923043569088],
["自己", 0.06731240487628462],
["人", 0.05667373578657066]]
}
將待抽取關鍵詞的文本斷詞。 以固定的窗格大小 (預設值為 5，通過 span 屬性調整)，詞之間的共現關係，建構出不帶權圖。 計算途中節點的 PageRank。 算法論文：TextRank: Bringing Order into Texts
POST https://api.droidtown.co/Articut/Toolkit/TextRank/
{
"username": "test@email.com",
"api_key": "anapikeyfordocthatdoesnwork@all",
"result_pos": ["<FUNC_negation>沒有</FUNC_negation><ENTITY_nouny>人</ENTITY_nouny><MODAL>可以</MODAL><ACTION_verb>決定</ACTION_verb><ENTITY_pronoun>你</ENTITY_pronoun><FUNC_inner>的</FUNC_inner><ENTITY_nouny>命運</ENTITY_nouny>",
"，",
"<ENTITY_oov>命運</ENTITY_oov><FUNC_inner>在</FUNC_inner><ENTITY_pronoun>自己</ENTITY_pronoun><FUNC_inner>的</FUNC_inner><ENTITY_nouny>手</ENTITY_nouny><RANGE_locality>上</RANGE_locality>",
"。"],
"with_weight": true
}
{
"msg": "Success!",
"status": true,
"textrank": [["命運", 5.591625666787958],
["自己", 3.4637188376903927],
["你", 3.4637188376903927],
["決定", 3.4637188376903927],
["手", 2.959546855830475],
["人", 2.9595468558304745]]
}