JP2812511B2 - Keyword extraction device - Google Patents

Keyword extraction device

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Publication number
JP2812511B2
JP2812511B2 JP1263616A JP26361689A JP2812511B2 JP 2812511 B2 JP2812511 B2 JP 2812511B2 JP 1263616 A JP1263616 A JP 1263616A JP 26361689 A JP26361689 A JP 26361689A JP 2812511 B2 JP2812511 B2 JP 2812511B2
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JP
Japan
Prior art keywords
speech
evaluation value
keyword
sequence
noun
Prior art date
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JP1263616A
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Japanese (ja)
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JPH03125264A (en
Inventor
雅子 望主
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Ricoh Co Ltd
Original Assignee
Ricoh Co Ltd
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Publication of JPH03125264A publication Critical patent/JPH03125264A/en
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Description

【発明の詳細な説明】 産業上の利用分野 本発明は、キーワード抽出装置に関する。Description: TECHNICAL FIELD The present invention relates to a keyword extracting device.

従来の技術 従来、文書から自動的にキーワードを抽出する技術と
しては言語現象に着目した手法がある。これは、頻度な
どによる統計的手法に比べ、文書の内容を反映させるこ
とができると考えられている。言語現象に着目した手法
の一つとして、文中の品詞の並びからキーワードである
かどうか判定するシステムがある。これは米国防省DDC
の機械補助検索システムMAIとして知られ、「自動索引
付け研究の動向」(情報処理、Sep.1984.Vol.25No.9)
により紹介されている。このシステムでは、語の認定を
して複合語を検出し、複合語の品詞列をフォーマット辞
書を用いて当該するパターンがあればキーワードと判定
するものである。つまり、予め品詞並びの頻度を測定し
ておき、頻度の高いパターンについてキーワードとする
ものである。
2. Description of the Related Art Conventionally, as a technique for automatically extracting a keyword from a document, there is a method focusing on a language phenomenon. This is considered to be able to reflect the contents of the document as compared with a statistical method based on frequency or the like. As one of the methods focusing on linguistic phenomena, there is a system for determining whether a keyword is a keyword based on the arrangement of parts of speech in a sentence. This is the US Department of Defense DDC
"Machine assisted search system MAI", "Trends in Automatic Indexing Research" (Information Processing, Sep.1984.Vol.25No.9)
Has been introduced. In this system, a word is recognized to detect a compound word, and the part of speech of the compound word is determined as a keyword if there is a corresponding pattern using a format dictionary. That is, the frequency of the part-of-speech arrangement is measured in advance, and a pattern with a high frequency is used as a keyword.

発明が解決しようとする課題 ところが、このような従来方式によると、結合数の多
い複合語の場合、辞書に登録する品詞列パターンを増や
す必要があり、パターンの登録が不十分であると一致せ
ずキーワードとならないことになる。例えば、「索引自
動生成システム」なる複合語の場合、名詞・副詞・サ変
名詞・名詞の品詞並びとなるが、この並びの通りに辞書
に登録されていないとキーワードとは判定されない。
However, according to such a conventional method, in the case of a compound word having a large number of connections, it is necessary to increase the part-of-speech string pattern to be registered in the dictionary. Will not be keywords. For example, in the case of a compound word “automatic index generation system”, a part of speech of noun, adverb, sa-variant noun, and noun is determined, but if the word is not registered in the dictionary in this order, the keyword is not determined.

また、構造的に似た語であっても別パターンとなるの
で辞書が煩雑となり、同構造であるのに同じ評価値を与
えることもできない。例えば、「索引自動生成システ
ム」と「索引生成システム」とでは、後者が名詞・サ変
名詞・名詞の品詞並びであるのに対し、前者は同品詞並
び中のサ変名詞に修飾語が付いただけの違いであるが、
品詞列パターンが違うため、キーワードであるかどうか
の判定も違ってくる。
In addition, even if the words are structurally similar, they become different patterns, so that the dictionary becomes complicated, and the same evaluation value cannot be given even though the words have the same structure. For example, in the "index automatic generation system" and the "index generation system", the latter is a part-of-speech list of nouns, sa-variable nouns, and nouns, whereas the former is only a modifier for the sa-various noun in the same part-of-speech list. The difference is
Since the part-of-speech sequence pattern is different, the determination as to whether the keyword is a keyword also differs.

よって、必ずしも精度の高いキーワード抽出方式とは
いえない。
Therefore, it cannot necessarily be said that the keyword extraction method has high accuracy.

課題を解決するための手段 日本語文書に対して語の単位と品詞とを認定する形態
素解析手段と、前記日本語文書から複合語をキーワード
候補として抽出する複合語抽出手段と、品詞対の並び、
この並びを代表する書換え用の品詞及びその並びに対す
る評価値を保持した品詞列評価値テーブルと、抽出され
た複合語内部の品詞列構造の評価値解析によりその複合
語がキーワードであるか否かを判定するキーワード判定
手段とにより構成した。
Means for Solving the Problems Morphological analysis means for recognizing a word unit and part of speech for a Japanese document, compound word extracting means for extracting compound words from the Japanese document as keyword candidates, and an arrangement of part of speech pairs ,
A part-of-speech sequence evaluation value table holding rewriting parts of speech representing this sequence and an evaluation value for the sequence, and whether or not the compound word is a keyword by analyzing the evaluation value of the part-of-speech sequence structure in the extracted compound word And keyword determining means for determining the

作用 品詞列評価値テーブルを参照した複合語内部の品詞列
構造の評価値解折に基づき、キーワード候補の複合語に
ついてキーワードかどうか判定するので、結合数の多い
複合語の場合であっても品詞対の組合せをベースとした
構造解析で済むため、各複合語の品詞列パターンのまま
登録しておかなくても、洩れの少ないキーワード抽出が
可能となる。これは、同一ではないが構造的に似た複合
語の場合も同じルールによりその内部品詞列構造が解析
されるので、同様の評価が得られ、同一のキーワード判
定を行わわせることができる。
Action Based on the evaluation of the part-of-speech sequence structure inside the compound word with reference to the part-of-speech sequence evaluation value table, it is determined whether or not the keyword candidate compound is a keyword. Since the structural analysis based on the combination of pairs is sufficient, keyword extraction with less omission can be performed without registering the part-of-speech sequence pattern of each compound word. In this case, even in the case of compound words that are not the same but are structurally similar, the internal part word sequence structure is analyzed according to the same rule, so that the same evaluation is obtained and the same keyword determination can be performed.

実施例 本発明の一実施例を図面に基づいて説明する。第1図
は本実施例によるキーワード抽出システムを示すブロッ
ク図であり、単語辞書1を用いて日本語文書に対して語
の単位と品詞とを認定する形態素解析手段2と、この認
定結果を用いて日本語文書から複合語をキーワード候補
として抽出する複合語抽出手段3と、品詞の並び及びそ
の並びに対する評価値を保持した品詞列評価値テーブル
4を参照して、抽出された複合語内部の品詞列構造に応
じて評価値を算出してその複合語がキーワードであるか
否かを判定するキーワード判定手段5とにより構成され
ている。
Embodiment An embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing a keyword extraction system according to the present embodiment. A morphological analysis unit 2 for certifying a word unit and a part of speech for a Japanese document using a word dictionary 1, and using the certifying result. A compound word extracting means 3 for extracting compound words from Japanese documents as keyword candidates and a part-of-speech string evaluation value table 4 holding a list of part-of-speech and an evaluation value for the part-sequence are referred to. A keyword determining means for calculating an evaluation value according to the part-of-speech string structure and determining whether or not the compound word is a keyword;

ここに、形態素解析に用いられる単語辞書1は、第2
図に例示するように、各語の表記と品詞との対を保持し
たものである。
Here, the word dictionary 1 used for the morphological analysis is the second dictionary.
As illustrated in the figure, a pair of a notation of each word and a part of speech is held.

また、第3図に品詞列評価値テーブル4の一例を示
す。キーワード判定手段5はこの品詞列評価値テーブル
4を参照して複合語の内部構造を解析し、評価値を与え
る。このため、品詞列評価値テーブル4は品詞の並び
(前・後)、その品詞間の関係から品詞の並びを代表す
る(書換え可能な)品詞、その品詞の並びに対する評価
値とを保持したものである。品詞列の書換えのルールは
その品詞間の関係(修飾−被修飾)の明確である順に並
んでいるものとする。
FIG. 3 shows an example of the part-of-speech sequence evaluation value table 4. The keyword determining means 5 analyzes the internal structure of the compound word with reference to the part-of-speech sequence evaluation value table 4 and gives an evaluation value. For this reason, the part-of-speech sequence evaluation value table 4 holds a part-of-speech arrangement (before and after), a part-of-speech (re-writable) representative of the part-of-speech arrangement based on the relation between the parts of speech, and an evaluation value for the part-of-speech arrangement. It is. The part-of-speech sequence rewriting rules are arranged in the order in which the relationship between the parts of speech (modification-modification) is clear.

このような構成において、キーワード抽出のための判
定処理は、第4図に示すフローチャートに従い実行され
る。まず、抽出されたキーワード候補なる複合語に対し
て品詞列が1になるまで品詞列の書換えと評価値の計算
を行う。即ち、品詞列が1より大きい段階では品詞列評
価値テーブル4を参照して品詞列の書換えを行い、評価
値を付与する。品詞列の書換えと評価値の加算とを品詞
列が1になるまで繰返す。品詞列が1になったら、品詞
列評価値テーブル4を参照して評価値を加算付与し、そ
の評価値が予め設定された閾値より大きければ、その複
合語をキーワードと判定する。しかし、評価値が閾値よ
り小さければキーワードでないと判定する。
In such a configuration, the determination process for keyword extraction is performed according to the flowchart shown in FIG. First, the part-of-speech sequence is rewritten and the evaluation value is calculated until the part-of-speech sequence becomes 1 for the extracted compound candidate keyword. That is, when the part-of-speech sequence is greater than 1, the part-of-speech sequence is rewritten with reference to the part-of-speech sequence evaluation value table 4 and an evaluation value is assigned. The rewriting of the part-of-speech sequence and the addition of the evaluation value are repeated until the part-of-speech sequence becomes 1. When the part-of-speech sequence becomes 1, an evaluation value is added by referring to the part-of-speech sequence evaluation value table 4. If the evaluation value is larger than a preset threshold, the compound word is determined as a keyword. However, if the evaluation value is smaller than the threshold, it is determined that the keyword is not a keyword.

このような処理について具体例を挙げる。 Specific examples of such processing will be described.

具体例1 「索引自動生成システム」 まず、形態素解析により「索引|自動|生成|システ
ム」と単語分割され、名詞・修飾名詞・サ変名詞・名詞
と品詞認定される。これは品詞列が1より大きいので、
品詞列評価値テーブル4を参照し、該当する品詞列を書
換え、評価値を付与する。この場合、修飾名詞・サ変名
詞の並びがサ変名詞に書換えられその評価値は1とされ
る。よって、名詞・サ変名詞・名詞の品詞列となるが、
この品詞列中、名詞・サ変名詞の並びはサ変名詞に書換
えられ評価値は1が加算されて2となる。ついで、サ変
名詞・名詞の品詞列となるが、これは名詞に書換えら
れ、その評価値2が加算されて合計4となる。ここで、
品詞列の長さが名詞のみの1となるので、名詞の評価値
2を加算し、最終的な評価値は6となる。閾値を、評価
値を単語数で割った値が1以上であることとすると、こ
の場合、6/4=1.5であり、「索引自動生成システム」な
る複合語をキーワードと判定する。
Specific Example 1 "Automatic Index Generation System" First, words are divided into "index | automatic | generation | system" by morphological analysis, and parts of speech are recognized as nouns, modified nouns, sa-variable nouns, and nouns. This is because the part-of-speech sequence is greater than 1,
Referring to the part-of-speech sequence evaluation value table 4, the corresponding part-of-speech sequence is rewritten and an evaluation value is given. In this case, the sequence of the modified noun / sa-variable noun is rewritten to the sa-variant noun, and its evaluation value is set to 1. Therefore, it becomes a part-of-speech sequence of noun, sa-variant noun, and noun,
In the part-of-speech sequence, the arrangement of nouns / sa-variable nouns is rewritten to sa-variable nouns, and the evaluation value is added with 1 to become 2. Then, the part-of-speech sequence of the sa noun / noun is rewritten into a noun, and its evaluation value 2 is added to make a total of four. here,
Since the length of the part-of-speech sequence is 1 for only nouns, the evaluation value 2 of the noun is added, and the final evaluation value is 6. Assuming that a value obtained by dividing the evaluation value by the number of words is 1 or more, in this case, 6/4 = 1.5, and a compound word “automatic index generation system” is determined as a keyword.

具体例2 「大量移行可能なシステム」 形態素解析によって「大量|移行|可能^な|システ
ム|と単語分割され、複合語部分「大量移行可能」を修
飾名詞・サ変名詞・形容動詞と品詞認定する。これは品
詞列が1より大きいので、品詞列評価値テーブル4を参
照し、該当する品詞列を書換え、評価値を付与する。ま
ず、修飾名詞・aサ変名詞の並びがサ変名詞に書換えら
れその評価値は1とされる。よって、サ変名詞・形容動
詞の品詞列となるが、この品詞並びは形容動詞に書換え
られ評価値は0が加算されて1となる。ここで、品詞例
の長さが1となるので、形容動詞の評価値0を加算し、
最終的な評価値は1となる。閾値を、評価値を単語数で
割った値が1以上であることとすると、この場合、1/3
=0.33であり、「大量移行可能」なる複合語をキーワー
ドではないと判定する。
Example 2 “System that can be mass-transferred” Words are divided into “mass | migration | possible | possible | system |” by morphological analysis, and the compound part “mass-migration possible” is recognized as a part-of-speech as a qualified noun / sa-variable noun / adjective verb. . Since the part-of-speech sequence is greater than 1, the part-of-speech sequence evaluation value table 4 is referred to, the corresponding part-of-speech sequence is rewritten, and an evaluation value is assigned. First, the sequence of the modified noun / a-sa noun is rewritten to the sa-noun, and its evaluation value is set to one. Therefore, the part-of-speech sequence of sa-variant noun / adjective verb is obtained. This part-of-speech arrangement is rewritten to an adjective verb, and the evaluation value is added with 0 to become 1. Here, since the length of the part of speech example is 1, the evaluation value 0 of the adjective verb is added,
The final evaluation value is 1. Assuming that the threshold value is equal to or greater than 1 obtained by dividing the evaluation value by the number of words, in this case, 1/3
= 0.33, and it is determined that the compound word “migration is possible” is not a keyword.

具体例3 「索引生成システム」 形態素解析により「索引|生成|システム」と単語分
割され、名詞・サ変名詞・名詞と品詞認定される。品詞
列が1より大きいので、品詞列評価値テーブル4を参照
し、該当する品詞列を書換え、評価値を付与する。ここ
では、名詞・サ変名詞・名詞なる品詞列中、名詞・サ変
名詞の並びがサ変名詞に書換えられ、評価値1が付与さ
れる。これにより、サ変名詞・名詞の品詞列となるが、
これは名詞に書換えられ、評価値2が加算され、評価値
は3となる。この時、品詞列が1となるので、名詞の評
価値1が加算されて評価値は4となる。閾値を、評価値
を単語数で割った値が1以上であるとすると、4/3=1.3
3となる。これにより、具体例1の「索引自動生成シス
テム」と構造的に似た「索引生成システム」なる複合語
も、「自動」なる修飾語の有無の違いは小さく評価さ
れ、同等の評価値を得てキーワードと判定される。
Specific Example 3 “Index generation system” Words are divided into “index | generation | system” by morphological analysis, and nouns / sa-variable nouns / nouns are recognized as parts of speech. Since the part-of-speech sequence is larger than 1, the part-of-speech sequence evaluation value table 4 is referred to, the corresponding part-of-speech sequence is rewritten, and an evaluation value is assigned. Here, in the part-of-speech sequence consisting of noun / sa-variable noun / noun, the sequence of the noun / sa-variant noun is rewritten into a sa-variable noun, and an evaluation value of 1 is assigned. As a result, the part-of-speech sequence of sa-variant noun and noun becomes
This is rewritten into a noun, the evaluation value 2 is added, and the evaluation value becomes 3. At this time, since the part-of-speech sequence becomes 1, the evaluation value 1 of the noun is added, and the evaluation value becomes 4. Assuming that the value obtained by dividing the threshold by the evaluation value by the number of words is 1 or more, 4/3 = 1.3
It becomes 3. As a result, the compound word “index generation system” structurally similar to the “index automatic generation system” of the first example is evaluated with a small difference in the presence or absence of the modifier “automatic”, and an equivalent evaluation value is obtained. Is determined as a keyword.

発明の効果 本発明は、上述したように日本語文書に対して語の単
位と品詞とを認定する形態素解析手段と、複合語を抽出
する複合語抽出手段と、品詞対の並び、この並びを代表
する書換え用の品詞及びその並びに対する評価値を保持
した品詞列評価値テーブルと、抽出された複合語内部の
品詞列構造の評価値解析によりその複合語がキーワード
であるか否かを判定するキーワード判定手段とを設け、
品詞列評価値テーブルを参照した複合語内部の品詞列構
造の評価値解析に基づき、キーワード候補の複合語につ
いてキーワードかどうか判定するようにしたので、結合
数の多い複合語の場合であっても品詞対の組合せをベー
スとした構造解析で済み、各複合語の品詞列パターンの
まま登録しておかなくても、洩れの少ないキーワード抽
出を可能とすることができ、同時に、同一ではないが構
造的に似た複合語の場合も同じルールによりその内部品
詞列構造が解析されるので、同様の評価を得て、同一の
キーワード判定結果を得ることができ、個別に品詞列パ
ターンとして登録しておく必要のないものである。
Advantageous Effects of the Invention As described above, the present invention provides a morphological analysis unit that recognizes a word unit and a part of speech for a Japanese document, a compound word extraction unit that extracts a compound word, and an arrangement of a part of speech part. A part-of-speech string evaluation value table holding representative part-of-speech rewriting parts and evaluation values for their arrangement, and an evaluation value analysis of the part-of-speech string structure in the extracted compound word determine whether the compound word is a keyword. A keyword determining means,
Based on an evaluation value analysis of the part-of-speech sequence structure inside the compound word with reference to the part-of-speech sequence evaluation value table, it is determined whether or not the compound word of the keyword candidate is a keyword. Structural analysis based on the combination of part-of-speech pairs is sufficient, and keyword extraction with less omission can be performed without registering the part-of-speech sequence pattern of each compound word. In the case of compound words that are similar to each other, their internal part-segment string structure is analyzed by the same rule, so that the same evaluation can be obtained and the same keyword judgment result can be obtained. It is not necessary to keep it.

【図面の簡単な説明】[Brief description of the drawings]

図面は本発明の一実施例を示し、第1図はブロック図、
第2図は単語辞書の内容を示す説明図、第3図は品詞列
評価値テーブルの内容を示す説明図、第4図はフローチ
ャートである。 2……形態素解析手段、3……複合語抽出手段、4……
品詞列評価値テーブル、5……キーワード判定手段
The drawings show an embodiment of the present invention, and FIG. 1 is a block diagram,
FIG. 2 is an explanatory diagram showing the contents of the word dictionary, FIG. 3 is an explanatory diagram showing the contents of the part-of-speech sequence evaluation value table, and FIG. 4 is a flowchart. 2 ... morphological analysis means, 3 ... compound word extraction means, 4 ...
Part-of-speech sequence evaluation value table, 5 ... keyword determination means

フロントページの続き (58)調査した分野(Int.Cl.6,DB名) G06F 17/30 JICST科学技術文献ファイルContinuation of the front page (58) Field surveyed (Int.Cl. 6 , DB name) G06F 17/30 JICST scientific and technical literature file

Claims (1)

(57)【特許請求の範囲】(57) [Claims] 【請求項1】日本語文書に対して語の単位と品詞とを認
定する形態素解析手段と、前記日本語文書から複合語を
キーワード候補として抽出する複合語抽出手段と、品詞
対の並び、この並びを代表する書換え用の品詞及びその
並びに対する評価値を保持した品詞列評価値テーブル
と、抽出された複合語内部の品詞列構造の評価値解析に
よりその複合語がキーワードであるか否かを判定するキ
ーワード判定手段とよりなることを特徴とするキーワー
ド抽出装置。
1. A morphological analysis means for recognizing a word unit and a part of speech with respect to a Japanese document, a compound word extracting means for extracting a compound word from the Japanese document as a keyword candidate, A part-of-speech sequence evaluation value table holding rewriting parts-of-speech representing the list and evaluation values for the sequence, and an evaluation value analysis of the part-of-speech sequence structure inside the extracted compound word determines whether the compound word is a keyword. A keyword extracting device comprising a keyword determining means for determining.
JP1263616A 1989-10-09 1989-10-09 Keyword extraction device Expired - Fee Related JP2812511B2 (en)

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JPH03125264A JPH03125264A (en) 1991-05-28
JP2812511B2 true JP2812511B2 (en) 1998-10-22

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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3361563B2 (en) * 1993-04-13 2003-01-07 松下電器産業株式会社 Morphological analysis device and keyword extraction device
JP3464055B2 (en) * 1994-09-29 2003-11-05 株式会社リコー Keyword extraction device
JP2005259015A (en) 2004-03-15 2005-09-22 Ricoh Co Ltd Document disclosure device and system, program, and storage medium

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
情報処理学会研究報告,Vol.89 No.6,1989(NL−70−5)
情報処理学会第35回(昭和63年後期)全国大会講演論文集(▲II▼)P.1277−1278

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