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  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>ORCID:</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Distribution of Quasi-Synonyms in Thesaurus for Natural Language Processing</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Valery Solovyev</string-name>
          <email>maki.solovyev@mail.ru</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Natalia Loukachevitch</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Vladimir Bochkarev</string-name>
          <email>vbochkarev@mail.ru</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Kazan Federal University</institution>
          ,
          <addr-line>Kremlevskaya Street 18, 420008 Kazan</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Lomonosov Moscow State University</institution>
          ,
          <addr-line>Leninskie Gory 1, 119234, Moscow</addr-line>
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>1883</year>
      </pub-date>
      <volume>000</volume>
      <fpage>0</fpage>
      <lpage>0003</lpage>
      <abstract>
        <p>thesaurus. The paper examines the relative positions of quasi-synonyms in the RuWordNet thesaurus. Quasi-synonyms (analogs) are taken from the dictionary of synonyms by Yu.D. Apresyan. The aim of the research is to test the RuWordNet thesaurus. It is shown that in more than 90% of cases quasi-synonyms are located in the thesaurus at a small semantic distance from each other. This is a confirmation of the good organization of RuWordNet. The analysis of the remaining 10% cases made it possible to formulate corrections for improving the thesaurus, natural language processing, quasi-synonym</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        Modern electronic thesauri such as Princeton WordNet [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] and similar resources in other
languages, including the Russian language thesaurus RuWordNet [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], are one of the most demanded
computer resources in the tasks of natural language processing (NLP). Such resources are built on the
basis of synsets – sets of synonyms linked by semantic relations of hypo-hypernymy, antonymy and
some others [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. A detailed description of the RuWordNet thesaurus can be found in [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. For practical
application, thesauri must include tens of thousands of words and expressions, which requires
significant efforts for their development and maintenance, including testing the quality of their
formalized descriptions. In this paper, we propose an approach to testing existing thesauri based on
the analysis of quasi-synonyms.
      </p>
      <p>The general idea is as follows. Almost all existing NLP thesauri are based on the concept of
synonymy and do not have means to represent quasi-synonymy. Meanwhile, this concept also reflects
the semantic similarity of words and therefore it should be closely related to the structure of thesauri.
In this article, we analyze this relationship on the basis of the RuWordNet thesaurus. The
consideration of the semantic distance in the thesaurus between quasi-synonyms makes it possible to
assess the quality of the thesaurus and identify possible gaps in its structure.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Related Work</title>
      <p>
        Traditionally, quasi-synonyms are words that are close in meaning, but not interchangeable in all
contexts. In approximately the same sense, Yu.D. Apresyan uses the term analogs [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]: analogs are
words of the same part of speech as a source word, the senses of which substantially intersect with the
general sense of a given set of synonyms, although they do not reach the degree of synonymic
closeness. In the English language literature, the terms near synonyms [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], plesionyms [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ] and almost
synonyms [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] are also used. We do not distinguish among all of these terms, assuming that they mean
      </p>
      <p>
        2020 Copyright for this paper by its authors.
the same phenomenon. Quasi-synonyms often include hyponyms and hypernyms of a given word, as
well as cohyponyms - words that have a common hypernym. However, quasi-synonymy is still a
broader concept [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. Quasi-synonymous relations are quite important in the tasks of natural language
processing. In [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ] the authors discuss the task of extracting multiword quasi-synonyms for multiword
terms. In [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] the importance of this concept for the expansion of search queries is noted. However,
quasi-synonyms have not been studied in as much detail as synonyms. In particular, there are no
quasi-synonym dictionaries for the Russian language. Quasi-synonyms are not reflected in the
Princeton WordNet and RuWordNet.
      </p>
      <p>
        It seems natural that quasi-synonyms in thesauri, including RuWordNet, should be located at a
short distance from each other. Distance means, as normal, the length of the path in the semantic
relationship graph of a thesaurus. It is shown in [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ] that the average distance between words in
RuWordNet differs for different parts of speech. For adjectives, it is equal to 5.3, for nouns – 5.5, for
verbs – 8.7.
      </p>
      <p>We use quasi-synonyms in this article to test RuWordNet1. As far as we know, such use of
quasisynonyms for correcting the thesauri structure has not been described earlier in the literature.</p>
      <p>
        The following two main approaches are used in lexical semantics, when studying synonyms and
other semantically related words: comparison of dictionary definitions, including component analysis
[
        <xref ref-type="bibr" rid="ref12">12</xref>
        ], and interchangeability in various contexts. The second approach is the main one when defining
synonymy, although, for example, in the dictionary of synonyms [13], the main attention is paid to
definitions and highlighting very subtle differential semes.
      </p>
      <p>The interchangeability approach appears not as effective when studying quasi-synonyms. For
example, quasi-synonyms are often referred to hypernyms (chair – furniture) and co-hyponyms (chair
– bookcase). They will not be interchangeable in most contexts: an upholstered furniture store, but
not an upholstered chair store, or he leaned back in an armchair, but not he leaned back in a
bookcase. Thus, we rely in this study on the interpretation of words in dictionaries and the component
analysis.</p>
      <p>Among other approaches to verification and extension of thesauri, the corpus approach proposed
in [14] should be noted as well. It consists in identifying words which are close in any large corpus
(according to one of the standard approaches to determining the semantic similarity of words), but
distant in the thesaurus. The work [15] has been carried out in the framework of this approach. The
comparison of the RuWordNet thesaurus with the existing dictionaries of synonyms is carried out in
[16].</p>
    </sec>
    <sec id="sec-3">
      <title>3. Methods and Data</title>
      <p>Although, as stated above, there is no complete dictionary of quasi-synonyms, however, the
dictionary [13] lists all analogues for each of the 354 synonym sets described in it. In accordance with
this description, we have compiled a list of pairs &lt;word, its analogue&gt;. The list is available at
https://kpfu.ru/kompleksnyj-analiz-struktury-i-soderzhaniya-366287.html .</p>
      <p>The dictionary [13] covers only a small part of the Russian lexicon. Therefore, the use of the
compiled list of analogues is not sufficient for an exhaustive study of the RuWordNet structure. Our
goal is rather to identify and classify possible types of errors or problem areas in the structure of the
thesaurus. In this paper, we will limit ourselves to considering two parts of speech - adjectives and
verbs. The analysis of analogous nouns was started in [17]. Our list contains 1601 verb pairs and 685
adjective pairs. Some of the words contained in the pairs are not included in the thesaurus. After
removing them, 1410 pairs of verbs and 558 pairs of adjectives still remain.</p>
      <p>We calculated distances between words in RuWordNet, as well as generated all possible paths
between the words in the pairs. The list of paths is available at
https://kpfu.ru/kompleksnyj-analizstruktury-i-soderzhaniya-366287.html. The shortest paths were found through the well-known
breadth-first search algorithm. An adjacency matrix was constructed at the first stage based on the
1 RuWordNet: ruwordnet.ru
data of semantic relationships of the types of our interest extracted from RuWordNet. Neighborhoods
of increasing radius for a word A were sequentially constructed in order to find the length of the
shortest path from a word A to a word B. The calculations stopped when, at a certain radius, the
vertex B fell into the resulting neighborhood. Figure 1 shows the scheme for calculating the distance
between words A and B. The circles symbolically indicate the neighborhood of the word A,
corresponding to a distance 1, 2 and 3, respectively.</p>
      <p>The average distance between quasi-synonymous adjectives is 2.43, and between
quasisynonymous verbs – 2.27, which, as expected, is significantly less than the average distance between
words of the corresponding parts of speech. Table 1 shows the distribution of pairs by distances – the
number of quasi-synonymous pairs for each distance.</p>
      <p>On the basis of some empirical studies, distances between words in the thesaurus, which are less
than or equal to 4, are interpreted in [14] as short. Apparently, most of quasi-synonymous pairs are
separated by short distances in the thesaurus. For pairs with a distance of 5 and 6, you can expect to
find certain gaps in the structure of the thesaurus. Although it is not always necessary, it is still
possible that the formalism adopted in the construction of the thesaurus does not capture some of the
nuances in semantics; and within the framework of the given formalism it is impossible to obtain
short paths by natural additions. The program we developed for further analysis generates all possible
shortest path length between pairs of quasi-synonyms. 138505 paths have been generated for verb
pairs, and 10837 – for adjectives.</p>
      <p>Several examples of detected paths are shown in Tables 2 and 3. Table 2 presents examples of
pairs with short path lengths between them, and Table 3 shows examples of word pairs with long
paths.</p>
      <p>All semantic relations in Table 2 are those of hypo-hypernymy relations and appear to be natural.
In contrast to them, Table 3 shows examples of the shortest path lengths between pairs of
quasisynonyms, which are too long and do not reflect the degree of their semantic proximity. The
problematic quasi-synonyms connected with long paths will be considered in the next section.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Linguistic analysis of the data</title>
      <sec id="sec-4-1">
        <title>Let us consider the examples from Table 3.</title>
        <sec id="sec-4-1-1">
          <title>1. Коварный – каверзный (‘insidious’ – ‘tricky’)</title>
          <p>RuWordNet contains 50 paths of the length 6 between these words. As an example, one of the
paths is shown in Table 3. It is noteworthy that the path goes through words that have little in
common with the original ones. Qualitative – is a category of adjectives that includes a very large
number of words. All other 49 paths also pass through words with a very general meaning or through
words, which semantically are very far from them. At the same time, the words коварный
(‘insidious’) and каверзный (‘tricky’) have clearly a lot in common. At the very least, they have a
common seme of negativity, which has been lost along the way. The connection of these adjectives
with human actions is also lost. It seems that here are two reasons for this – common and specific. A
common reason is that there are no satisfactory classifications of adjectives. In [18], a conclusion is
made about the plurality of classification options, as well as the complexity of a universal
classification development on any basis. Adjectives in [19] are divided into classes associated with
the type of the object being defined. Probably, this or that transition from adjectives to nouns is a
good way of classifying them and, accordingly, establishing short paths.</p>
          <p>Consider the words коварство (‘insidiousness’) and каверза (‘trick’). The first of these words is
listed in RuWordNet as a cognate word and also as a part of speech synonym for коварный
(‘insidious’). The second of these words – каверза (‘trick’) – is not associated with каверзный
(‘tricky’) by relationships of this type. In каверзный (‘tricky’), only каверзность (‘trickery’) is
indicated as a cognate word and a part of speech synonym. It is proposed to add the word каверзa
(‘trick’) to it.</p>
          <p>There is the following further path between коварство (‘insidiousness’) and каверза (‘trick’):
каверза – баловство – поступок человека – дурной поступок – коварство (‘trick’ – ‘mischief’ –
‘human deed’ – ‘bad deed’ – ‘insidiousness’). It has a distance of 4 and, together with two transitions:
‘insidious’ – ‘insidiousness ‘and ‘tricky’ – ‘trick’, it is possible to get a path with length 6. However,
this path is already much better than the one considered above. All words in it are directly related to
the given words. The seme ‘human deed’ is preserved in all words (collocations) along this path.
Although, the seme of negativity is lost on the way. Баловство (‘mischief’) in RuWordNet has a
hypernym развлечение (‘entertainment’) and belongs to the domain of “отдых” (‘recreation’). Let us
consider the senses of the word каверза (trick) in the dictionaries. The Wiktionary gives the
following senses: злая интрига, происки, затеваемые с целью запутать что-либо, повредить
кому-либо; коварная, злая шалость, проделка (‘evil intrigue, machinations undertaken in order to
confuse something, to harm someone; insidious, evil mischief, trickery’). The similar senses are in
D.N. Ushakov Dictionary [20].</p>
          <p>Evidently, the word каверза (‘trick’) has a definitely negative sense (and not just баловство
(mischief)) and clearly approaches the word коварство (‘insidiousness’). It is proposed to add the
second sense of the word каверза (‘trick’): каверза 2 ‘злая интрига’ (‘evil intrigue’) with the
hypernym дурной поступок (‘bad deed’). The sense of the ‘evil intrigue’ is manifested, for example,
in the following sentence: Он чувствовал, что готовится какая-то новая каверза со стороны
союзников (‘He felt that some new trick was being prepared by the allies. A.N. Tolstoy. The
Adventures of Nevzorov, or Ibicus’). In this case, the length of the path between the original words is
reduced to 4: коварный – коварство – дурной поступок – каверза 2 – каверзный (‘insidious’ –
‘insidiousness’ – ‘bad deed’ –‘ trick’ 2 – ‘tricky’).</p>
        </sec>
        <sec id="sec-4-1-2">
          <title>2. Коварный – злой (‘Insidious’ – ‘evil’)</title>
          <p>All paths for this pair, similarly, have a length 6 and pass through common words such as ролевой
(‘thematic’). Obviously, the words коварный (‘insidious’) and злой (‘evil’) are semantically closer to
each other than to the word ролевой (‘thematic’). In the Wiktionary, коварство (‘insidiousness’) is
defined as “a property of a person's character: the ability and tendency to hide evil intentions behind
ostentatious friendliness”. Thus, the seme ‘evil’ is inherent in both of these words. There are several
possibilities to build shorter paths between them. First, adding between the words злодейство
(‘insidiousness’) and the злой (‘evil’) the relation of the ‘cognate words’ and / or ‘part of speech
synonymy’ we get a path length 4: коварный – коварство – плохой поступок –- злодейство
–злой (‘insidious ‘– ‘insidiousness’ – ‘bad deed ‘– ‘evil deed’ – ‘evil’). Another possibility is to
introduce a new collocation коварный умысел (‘insidious intent’) into RuWordNet, adding it as a
synonym for злой умысел (‘evil intent’). As a result, the path of a length 3: коварный – коварный
умысел – злой умысел – злой (‘insidious’ – ‘insidious intent’ – ‘evil intent’ – ‘evil)’ is created. Both
of these possibilities do not contradict each other and can be implemented together. The presence of
several paths of the same distance between words, as we can see, is quite frequent.</p>
        </sec>
        <sec id="sec-4-1-3">
          <title>3. Ладить – подладиться (‘to get along with’ – ‘to adjust oneself to’)</title>
          <p>All discovered paths between these words pass through common words, such as делаться, быть
(‘to become’,’ to be’). As noted above, the presence of words with general senses in the path is a
direct indication that some important connections in the thesaurus are missing. Meanwhile, ладить
(‘get along with’) and подладиться (‘adjust oneself to’) have a direct relationship: ладит (‘get along
with’) is a state achieved as a result of the action подладиться (‘to adjust oneself to’). In terms of the
Theory of lexical functions by Melchuk [21], this can be expressed as подладиться (‘get along with’)
= Caus (ладить (‘to adjust oneself to’)). The RuWorNet structure includes the following semantic
relationship for verbs: ‘entailment’ (logical consequence). This relation in particular connects in the
thesaurus the words: призадумываться – думать (‘become thoughtful’ – ‘to think’); collocations:
наладить отношения – состоять в отношениях (‘to improve relationships’ – ‘to be in a
relationship’), etc. It seems natural to establish the same relationship between the words
подладиться – ладить (‘to adjust oneself to’ – ‘to get along with’). Then the distance between them
will be equal to 1. In general, it is necessary to systematically consider the advisability of introducing
this relation in pairs, such as пробежаться – бежать (‘take a run’ – ‘to run’), etc., as well as the
widespread use of lexical functions. Very often the use of a lexical function does not lead beyond the
synsets. For example, for the function ‘начинать’ (start) – Incep, we have the relation побежать
(‘take a run’) = Incep (бежать (‘run’)).</p>
          <p>The meaning of the derived word does not go beyond the inflectional nest (considering the
transformation of the imperfect form into the perfect form to be the inflection, which is natural for
thesauri and is used in RuWordNet). However, there are also more complex cases. Thus, in [13], the
words бороться (‘fight’) и устранить (‘eliminate’) are considered to be analogues. The second
word is the result of the (successful) execution of the first word.</p>
        </sec>
        <sec id="sec-4-1-4">
          <title>4. Каяться – облегчить душу (‘to repent’ – ‘to relieve (one's soul)’)</title>
          <p>An example of the shortest length path 6 is shown in Table 3. All such paths go through common
words such as прийти (come). Meanwhile, words каяться – облегчить душу (‘to repent’ – ‘to
relief’) are directly related semantically. The dictionary [22] treats them as synonyms. Repentance
usually leads to a relief of the soul and is carried out for this purpose, for example:
После этой знаменательной беседы я решила искать утешения в церкви и облегчить душу
покаянием на святой исповеди. (‘After this significant conversation, I decided to seek
consolation in the church and to relieve my soul by repentance in holy confession’. Hoffman E.
Elixirs of Satan. 2020).
Но по опыту прошлых причастий не уверена, что найдется человек, который мне
поможет покаяться во всех грехах и действительно облегчит душу. (‘But from the
experience of the past sacraments, I am not sure that there will be a person who will help me
repent of all my sins and really relieve my soul’ (https://omolenko.com/928.html)).</p>
          <p>Thus, it makes sense to establish the ‘entailment’ relationship between them. Although it is
possible to relieve the soul in other ways, this does not eliminate the indicated semantic relationship.</p>
          <p>This example is most complex and controversial among those considered. We propose to obtain a
short path between them through rather serious changes in the thesaurus. Perhaps this also indicates
that these words should not be interpreted as quasi-synonyms. The example of the shortest path length
of 6, is shown in Table 3. All such paths go through common words, such as оценка, отношение
(‘evaluation’, ‘relation’), which do not reflect the specific semantics of the words in question. To get
a short distance, it is necessary to add new synsets. We propose to introduce a synset based on the
collocation отчетливо различимые детали (‘clearly distinguishable details’). This synset will be
associated with the synset of the word отчетливый (‘clear’) through the relation 'Component
synsets', connecting the synset of a phrase with synsets of the component words. Next, we introduce a
synset based on the collocation контрастное изображение (‘contrast image’). According to the
dictionary [23], the phrase контрастное изображение (‘contrast image’) is defined as “An image
with clearly distinguishable individual details”. This synset is associated with the synset of clearly
distinguishable details through the 'whole-to-part' relationship. Finally, the word контрастный
(‘contrastive’) is associated with the collocation контрастное изображение (‘contrast image’)
through the ‘Component Synsets’ relation. As a result, a path length of 3 can be found.</p>
        </sec>
      </sec>
      <sec id="sec-4-2">
        <title>Not all paths of the distance 6 are necessarily inadequately long.</title>
        <sec id="sec-4-2-1">
          <title>The shortest path between the words гостеприимный (‘hospitable’) and компанейский</title>
          <p>(‘companionable’), has a length of 6 (Table 3), but all semantic relationships in it are logical, and it is
not clear how this path can be shortened in a proper way.</p>
          <p>7.</p>
          <p>Громкий – знаменитый (‘loud’ – ‘famous’)</p>
          <p>All paths between громкий (‘loud’) and знаменитый (‘famous’) go through the word
качественный (‘qualitative’). This is due to the fact that the word громкий (‘loud’) in RuWordNet
has two senses ‘громкий по звуку’ (‘loud’) and ‘высокопарный’ (‘pompous’). At the same time,
according to the Ozhegov Dictionary (as well as the Wiktionary), this word has also the sense
получивший широкую известность (‘widely known’). If we add this sense to the word громкий
(loud), then it will become a co-hyponym with знаменитый (‘famous’) through the hypernym
широкоизвестный (‘widely known’), thus establishing paths of the length 2.
5. Discussion</p>
          <p>Analysis of the examples enabled to reveal the following typical types of gaps in the thesaurus.
1. Missing words, which are in relation to part-of-speech synonymy and cognate words (example
1);
2. Missing senses of words from the standard dictionaries of the Russian language (examples 1, 7)
3. Missing semantic relation of entailment for verbs (examples 3, 4)
4. Missing synsets (example 5).</p>
          <p>The present study has shown that the proposed method of studying the shortest paths between
analogous words is highly effective and makes it possible to systematically identify gaps in the
thesaurus. The solutions proposed to remedy the situation are subjective where appropriate, as is the
compilation of dictionaries and thesauri in general. In some cases, the proposed solutions are
suggestive, while in others they may be controversial. The most doubtful is the decision to add new
collocations, as in the example 5, where it is recommended to add the collocation отчетливо
различимые детали (‘clearly distinguishable details’) to the thesaurus. It is obvious that in general
the question whether a collocation is subject to the inclusion in the thesaurus or not is non-trivial by
itself. This issue is discussed in [24], proposing the criteria for the inclusion of collocations in the
thesaurus.</p>
          <p>It is clear that the inclusion of such collocations in the thesaurus as печально известный (‘sadly
remembered’) or как облупленный (‘inside out’) and many others is beyond doubt. In the example
considered, the inclusion of the collocation отчетливо различимые детали (‘clearly distinguishable
details’) is more controversial. However, regardless of whether it meets the criteria of [24] or not, its
addition improves the structure of the thesaurus by introducing new short natural paths. A
methodological question arises as to whether collocations should be introduced specifically for the
purpose of improving the structure of the thesaurus. It seems that the approaches to verification of
thesauri put forward and discussed in the present article can facilitate solving this issue.</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>6. Conclusion</title>
      <p>The research work proposes a new method for analyzing the structure of thesauri. It consists in
considering semantically close words, which are not as close as synonyms. These are, first of all,
quasi-synonyms (analogues). However, this approach can be applied to the words obtained by using
lexical functions. We proceed from the fact that semantically close words should be close including in
terms of the distance between them according to the thesaurus [14].</p>
      <p>Using the Explanatory Dictionary of Synonyms [13], we have arranged many pairs of analogous
words and built the shortest paths between them in RuWordNet. As a result of the analysis of long
paths (length 6), we revealed typical situations, in which semantically close words turn out to be
distant according to the thesaurus. In addition to the length of the path, the presence of words having
too general meaning in the path shows that the semantic similarity of words is not captured by the
thesaurus in its current state. The search for shorter paths is based on a careful analysis of the
analogous words interpretations.</p>
    </sec>
    <sec id="sec-6">
      <title>7. Acknowledgements</title>
      <p>This research was financially supported by RFBR, grants № 18-00-01238 and № 18-00-01226 as
parts of the project № 18-00-01240 (K).</p>
    </sec>
    <sec id="sec-7">
      <title>8. References</title>
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