Probing semantic relations :: exploration and identification in specialized texts /
Semantic relations are at the core of any representational system, and are keys to enable the next generation of information processing systems with semantic and reasoning capabilities. Acquisition, description, and formalization of semantic relations are fundamentals in computer-based systems where...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam ; Philadelphia :
John Benjamins Pub. Co.,
©2010.
|
| Schriftenreihe: | Benjamins current topics ;
v. 23. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Semantic relations are at the core of any representational system, and are keys to enable the next generation of information processing systems with semantic and reasoning capabilities. Acquisition, description, and formalization of semantic relations are fundamentals in computer-based systems where natural language processing is required. Probing Semantic Relations provides a state of the art of current research trends in the area of knowledge extraction from text using linguistic patterns. First published as a Special Issue of Terminology 14:1 (2008), the current book emphasizes how definiti. |
| Beschreibung: | 1 online resource (ix, 156 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9789027287922 9027287929 9027222533 9789027222534 1282721615 9781282721616 9786612721618 6612721618 |
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| 245 | 0 | 0 | |a Probing semantic relations : |b exploration and identification in specialized texts / |c edited by Alain Auger, Caroline Barrière. |
| 260 | |a Amsterdam ; |a Philadelphia : |b John Benjamins Pub. Co., |c ©2010. | ||
| 300 | |a 1 online resource (ix, 156 pages) : |b illustrations | ||
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| 490 | 1 | |a Benjamins current topics ; |v v. 23 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover13; -- Editorial page -- Title page -- LCC data -- Table of contents -- About the Authors -- Probing semantic relations -- Pattern-based Extraction Dimensions -- Evaluation -- Terminological issues -- Contributions to this volume -- Concluding Remarks -- Notes -- References -- Web-based extraction of semantic relation instances for terminology work -- 1. Introduction -- 2. A closer look at KPs -- 3. Discovering and filtering KPs -- 4. Extracting and ranking instances -- 4.1 Reliability measures -- 4.2 Heuristics -- 5. Evaluation -- 5.1 Setup and purpose -- 5.2 Interannotator (dis)agreement -- 5.3 Example output -- 5.4 Performance of ranking schemes -- 5.5 Augmenting the UMLS -- 6. KP portability -- 7. Conclusion -- Notes -- References -- Designing and evaluating patterns for relation acquisition from texts with Cam233;l233;on -- 1. Introduction -- 2. The state of the art: Pattern-based knowledge identification -- 2.1 Pattern-based approaches: A cross-disciplinary matter -- 2.2 Pattern-based identification of semantic relations -- 3. A pattern-based method for a semantic relation identification -- 3.1 Background and motivations -- 3.2 Overview of the approach -- 3.3 Step 1: Project pattern definition -- 3.4 Step 2: Enriching the conceptual model -- 3.5 Towards an evaluation of Cam233;l233;on -- 4. How the tool supports relation extraction -- 4.1 Setting up a new project -- 4.2 Pattern design and adaptation -- 4.3 Pattern evaluation -- 4.4 Text fragment selection -- 4.5 Model enrichment -- 5. Method and Corpora for evaluating the set of knowledge patterns -- 5.1 Pattern design by using previous work -- 5.2 Varied corpora -- 5.3 Evaluating the patterns -- 6. Results -- 6.1 Definition patterns -- 6.2 Taxonomic and other patterns -- 7. Discussion -- 7.1 Pattern elaboration -- 7.2 What is a 8220;generic pattern8221;? -- 7.3 Needed skills to perform the evaluation task -- 7.4 Need for documenting patterns -- 8. Conclusion -- Notes -- References -- Definitional verbal patterns for semantic relation extraction -- 1. Introduction -- 2. The role of definitional contexts for the extraction of semantic relations -- 2.1 Finding semantic relations in definitions -- 2.2 Semantic relations and corpora -- 2.3 Definitional knowledge extraction -- 3. Definitional verbal patterns related to specific semantic relationships -- 3.1 Analytic verbal patterns -- 3.2 Functional verbal patterns -- 3.3 Meronymic and extensional verbal patterns -- 3.4 Synonymic verbal patterns -- 3.5 Structural classification -- 4. ECODE, a definitional context extraction system -- 4.1 Corpus -- 4.2 Extraction of occurrences of definitional verbal patterns -- 4.3 Filtering of non-relevant contexts -- 4.4 Identifying constitutive elements -- 4.5 Evaluation -- 5. Conclusions -- Acknowledgments -- Notes -- References -- Patrones l233;xicos para la extracci243;n de conceptos vinculados por la relaci243;n parte-todo en espa241;ol -- 1. Introducci243;n -- 2. Las relaciones conceptuales -- 2.1 La relaci243;n parte-todo y su clasificaci243;n -- 2.2 Relaciones similares a la relaci243;n parte-todo -- 3. Extracci243;n de relaciones conceptuales mediante patrones -- 4. Una metodolog237;a basada en corpus para detectar pa. | |
| 520 | |a Semantic relations are at the core of any representational system, and are keys to enable the next generation of information processing systems with semantic and reasoning capabilities. Acquisition, description, and formalization of semantic relations are fundamentals in computer-based systems where natural language processing is required. Probing Semantic Relations provides a state of the art of current research trends in the area of knowledge extraction from text using linguistic patterns. First published as a Special Issue of Terminology 14:1 (2008), the current book emphasizes how definiti. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Semantics. |0 http://id.loc.gov/authorities/subjects/sh85119870 | |
| 650 | 0 | |a Relational grammar. |0 http://id.loc.gov/authorities/subjects/sh85112488 | |
| 650 | 0 | |a Arc pair grammar. |0 http://id.loc.gov/authorities/subjects/sh85006478 | |
| 650 | 2 | |a Semantics |0 https://id.nlm.nih.gov/mesh/D012660 | |
| 650 | 6 | |a Sémantique. | |
| 650 | 6 | |a Grammaire relationnelle. | |
| 650 | 7 | |a semantics. |2 aat | |
| 650 | 7 | |a LANGUAGE ARTS & DISCIPLINES |x Linguistics |x Semantics. |2 bisacsh | |
| 650 | 7 | |a Relational grammar |2 fast | |
| 650 | 7 | |a Semantics |2 fast | |
| 655 | 4 | |a Electronic book. | |
| 700 | 1 | |a Auger, Alain. | |
| 700 | 1 | |a Barrière, Caroline. | |
| 776 | 0 | 8 | |i Print version: |t Probing semantic relations. |d Amsterdam ; Philadelphia : John Benjamins Pub. Co., ©2010 |z 9789027222534 |w (DLC) 2010022885 |w (OCoLC)639163029 |
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| contents | Cover13; -- Editorial page -- Title page -- LCC data -- Table of contents -- About the Authors -- Probing semantic relations -- Pattern-based Extraction Dimensions -- Evaluation -- Terminological issues -- Contributions to this volume -- Concluding Remarks -- Notes -- References -- Web-based extraction of semantic relation instances for terminology work -- 1. Introduction -- 2. A closer look at KPs -- 3. Discovering and filtering KPs -- 4. Extracting and ranking instances -- 4.1 Reliability measures -- 4.2 Heuristics -- 5. Evaluation -- 5.1 Setup and purpose -- 5.2 Interannotator (dis)agreement -- 5.3 Example output -- 5.4 Performance of ranking schemes -- 5.5 Augmenting the UMLS -- 6. KP portability -- 7. Conclusion -- Notes -- References -- Designing and evaluating patterns for relation acquisition from texts with Cam233;l233;on -- 1. Introduction -- 2. The state of the art: Pattern-based knowledge identification -- 2.1 Pattern-based approaches: A cross-disciplinary matter -- 2.2 Pattern-based identification of semantic relations -- 3. A pattern-based method for a semantic relation identification -- 3.1 Background and motivations -- 3.2 Overview of the approach -- 3.3 Step 1: Project pattern definition -- 3.4 Step 2: Enriching the conceptual model -- 3.5 Towards an evaluation of Cam233;l233;on -- 4. How the tool supports relation extraction -- 4.1 Setting up a new project -- 4.2 Pattern design and adaptation -- 4.3 Pattern evaluation -- 4.4 Text fragment selection -- 4.5 Model enrichment -- 5. Method and Corpora for evaluating the set of knowledge patterns -- 5.1 Pattern design by using previous work -- 5.2 Varied corpora -- 5.3 Evaluating the patterns -- 6. Results -- 6.1 Definition patterns -- 6.2 Taxonomic and other patterns -- 7. Discussion -- 7.1 Pattern elaboration -- 7.2 What is a 8220;generic pattern8221;? -- 7.3 Needed skills to perform the evaluation task -- 7.4 Need for documenting patterns -- 8. Conclusion -- Notes -- References -- Definitional verbal patterns for semantic relation extraction -- 1. Introduction -- 2. The role of definitional contexts for the extraction of semantic relations -- 2.1 Finding semantic relations in definitions -- 2.2 Semantic relations and corpora -- 2.3 Definitional knowledge extraction -- 3. Definitional verbal patterns related to specific semantic relationships -- 3.1 Analytic verbal patterns -- 3.2 Functional verbal patterns -- 3.3 Meronymic and extensional verbal patterns -- 3.4 Synonymic verbal patterns -- 3.5 Structural classification -- 4. ECODE, a definitional context extraction system -- 4.1 Corpus -- 4.2 Extraction of occurrences of definitional verbal patterns -- 4.3 Filtering of non-relevant contexts -- 4.4 Identifying constitutive elements -- 4.5 Evaluation -- 5. Conclusions -- Acknowledgments -- Notes -- References -- Patrones l233;xicos para la extracci243;n de conceptos vinculados por la relaci243;n parte-todo en espa241;ol -- 1. Introducci243;n -- 2. Las relaciones conceptuales -- 2.1 La relaci243;n parte-todo y su clasificaci243;n -- 2.2 Relaciones similares a la relaci243;n parte-todo -- 3. Extracci243;n de relaciones conceptuales mediante patrones -- 4. Una metodolog237;a basada en corpus para detectar pa. |
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How the tool supports relation extraction -- 4.1 Setting up a new project -- 4.2 Pattern design and adaptation -- 4.3 Pattern evaluation -- 4.4 Text fragment selection -- 4.5 Model enrichment -- 5. Method and Corpora for evaluating the set of knowledge patterns -- 5.1 Pattern design by using previous work -- 5.2 Varied corpora -- 5.3 Evaluating the patterns -- 6. Results -- 6.1 Definition patterns -- 6.2 Taxonomic and other patterns -- 7. Discussion -- 7.1 Pattern elaboration -- 7.2 What is a 8220;generic pattern8221;? -- 7.3 Needed skills to perform the evaluation task -- 7.4 Need for documenting patterns -- 8. Conclusion -- Notes -- References -- Definitional verbal patterns for semantic relation extraction -- 1. Introduction -- 2. The role of definitional contexts for the extraction of semantic relations -- 2.1 Finding semantic relations in definitions -- 2.2 Semantic relations and corpora -- 2.3 Definitional knowledge extraction -- 3. Definitional verbal patterns related to specific semantic relationships -- 3.1 Analytic verbal patterns -- 3.2 Functional verbal patterns -- 3.3 Meronymic and extensional verbal patterns -- 3.4 Synonymic verbal patterns -- 3.5 Structural classification -- 4. ECODE, a definitional context extraction system -- 4.1 Corpus -- 4.2 Extraction of occurrences of definitional verbal patterns -- 4.3 Filtering of non-relevant contexts -- 4.4 Identifying constitutive elements -- 4.5 Evaluation -- 5. Conclusions -- Acknowledgments -- Notes -- References -- Patrones l233;xicos para la extracci243;n de conceptos vinculados por la relaci243;n parte-todo en espa241;ol -- 1. Introducci243;n -- 2. Las relaciones conceptuales -- 2.1 La relaci243;n parte-todo y su clasificaci243;n -- 2.2 Relaciones similares a la relaci243;n parte-todo -- 3. Extracci243;n de relaciones conceptuales mediante patrones -- 4. Una metodolog237;a basada en corpus para detectar pa.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Semantic relations are at the core of any representational system, and are keys to enable the next generation of information processing systems with semantic and reasoning capabilities. Acquisition, description, and formalization of semantic relations are fundamentals in computer-based systems where natural language processing is required. Probing Semantic Relations provides a state of the art of current research trends in the area of knowledge extraction from text using linguistic patterns. 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| genre | Electronic book. |
| genre_facet | Electronic book. |
| id | ZDB-4-EBA-ocn663881299 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:17:29Z |
| institution | BVB |
| isbn | 9789027287922 9027287929 9027222533 9789027222534 1282721615 9781282721616 9786612721618 6612721618 |
| language | English |
| lccn | 2010022885 |
| oclc_num | 663881299 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (ix, 156 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | John Benjamins Pub. Co., |
| record_format | marc |
| series | Benjamins current topics ; |
| series2 | Benjamins current topics ; |
| spelling | Probing semantic relations : exploration and identification in specialized texts / edited by Alain Auger, Caroline Barrière. Amsterdam ; Philadelphia : John Benjamins Pub. Co., ©2010. 1 online resource (ix, 156 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Benjamins current topics ; v. 23 Includes bibliographical references and index. Print version record. Cover13; -- Editorial page -- Title page -- LCC data -- Table of contents -- About the Authors -- Probing semantic relations -- Pattern-based Extraction Dimensions -- Evaluation -- Terminological issues -- Contributions to this volume -- Concluding Remarks -- Notes -- References -- Web-based extraction of semantic relation instances for terminology work -- 1. Introduction -- 2. A closer look at KPs -- 3. Discovering and filtering KPs -- 4. Extracting and ranking instances -- 4.1 Reliability measures -- 4.2 Heuristics -- 5. Evaluation -- 5.1 Setup and purpose -- 5.2 Interannotator (dis)agreement -- 5.3 Example output -- 5.4 Performance of ranking schemes -- 5.5 Augmenting the UMLS -- 6. KP portability -- 7. Conclusion -- Notes -- References -- Designing and evaluating patterns for relation acquisition from texts with Cam233;l233;on -- 1. Introduction -- 2. The state of the art: Pattern-based knowledge identification -- 2.1 Pattern-based approaches: A cross-disciplinary matter -- 2.2 Pattern-based identification of semantic relations -- 3. A pattern-based method for a semantic relation identification -- 3.1 Background and motivations -- 3.2 Overview of the approach -- 3.3 Step 1: Project pattern definition -- 3.4 Step 2: Enriching the conceptual model -- 3.5 Towards an evaluation of Cam233;l233;on -- 4. How the tool supports relation extraction -- 4.1 Setting up a new project -- 4.2 Pattern design and adaptation -- 4.3 Pattern evaluation -- 4.4 Text fragment selection -- 4.5 Model enrichment -- 5. Method and Corpora for evaluating the set of knowledge patterns -- 5.1 Pattern design by using previous work -- 5.2 Varied corpora -- 5.3 Evaluating the patterns -- 6. Results -- 6.1 Definition patterns -- 6.2 Taxonomic and other patterns -- 7. Discussion -- 7.1 Pattern elaboration -- 7.2 What is a 8220;generic pattern8221;? -- 7.3 Needed skills to perform the evaluation task -- 7.4 Need for documenting patterns -- 8. Conclusion -- Notes -- References -- Definitional verbal patterns for semantic relation extraction -- 1. Introduction -- 2. The role of definitional contexts for the extraction of semantic relations -- 2.1 Finding semantic relations in definitions -- 2.2 Semantic relations and corpora -- 2.3 Definitional knowledge extraction -- 3. Definitional verbal patterns related to specific semantic relationships -- 3.1 Analytic verbal patterns -- 3.2 Functional verbal patterns -- 3.3 Meronymic and extensional verbal patterns -- 3.4 Synonymic verbal patterns -- 3.5 Structural classification -- 4. ECODE, a definitional context extraction system -- 4.1 Corpus -- 4.2 Extraction of occurrences of definitional verbal patterns -- 4.3 Filtering of non-relevant contexts -- 4.4 Identifying constitutive elements -- 4.5 Evaluation -- 5. Conclusions -- Acknowledgments -- Notes -- References -- Patrones l233;xicos para la extracci243;n de conceptos vinculados por la relaci243;n parte-todo en espa241;ol -- 1. Introducci243;n -- 2. Las relaciones conceptuales -- 2.1 La relaci243;n parte-todo y su clasificaci243;n -- 2.2 Relaciones similares a la relaci243;n parte-todo -- 3. Extracci243;n de relaciones conceptuales mediante patrones -- 4. Una metodolog237;a basada en corpus para detectar pa. Semantic relations are at the core of any representational system, and are keys to enable the next generation of information processing systems with semantic and reasoning capabilities. Acquisition, description, and formalization of semantic relations are fundamentals in computer-based systems where natural language processing is required. Probing Semantic Relations provides a state of the art of current research trends in the area of knowledge extraction from text using linguistic patterns. First published as a Special Issue of Terminology 14:1 (2008), the current book emphasizes how definiti. English. Semantics. http://id.loc.gov/authorities/subjects/sh85119870 Relational grammar. http://id.loc.gov/authorities/subjects/sh85112488 Arc pair grammar. http://id.loc.gov/authorities/subjects/sh85006478 Semantics https://id.nlm.nih.gov/mesh/D012660 Sémantique. Grammaire relationnelle. semantics. aat LANGUAGE ARTS & DISCIPLINES Linguistics Semantics. bisacsh Relational grammar fast Semantics fast Electronic book. Auger, Alain. Barrière, Caroline. Print version: Probing semantic relations. Amsterdam ; Philadelphia : John Benjamins Pub. Co., ©2010 9789027222534 (DLC) 2010022885 (OCoLC)639163029 Benjamins current topics ; v. 23. http://id.loc.gov/authorities/names/n2007180968 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=333437 Volltext |
| spellingShingle | Probing semantic relations : exploration and identification in specialized texts / Benjamins current topics ; Cover13; -- Editorial page -- Title page -- LCC data -- Table of contents -- About the Authors -- Probing semantic relations -- Pattern-based Extraction Dimensions -- Evaluation -- Terminological issues -- Contributions to this volume -- Concluding Remarks -- Notes -- References -- Web-based extraction of semantic relation instances for terminology work -- 1. Introduction -- 2. A closer look at KPs -- 3. Discovering and filtering KPs -- 4. Extracting and ranking instances -- 4.1 Reliability measures -- 4.2 Heuristics -- 5. Evaluation -- 5.1 Setup and purpose -- 5.2 Interannotator (dis)agreement -- 5.3 Example output -- 5.4 Performance of ranking schemes -- 5.5 Augmenting the UMLS -- 6. KP portability -- 7. Conclusion -- Notes -- References -- Designing and evaluating patterns for relation acquisition from texts with Cam233;l233;on -- 1. Introduction -- 2. The state of the art: Pattern-based knowledge identification -- 2.1 Pattern-based approaches: A cross-disciplinary matter -- 2.2 Pattern-based identification of semantic relations -- 3. A pattern-based method for a semantic relation identification -- 3.1 Background and motivations -- 3.2 Overview of the approach -- 3.3 Step 1: Project pattern definition -- 3.4 Step 2: Enriching the conceptual model -- 3.5 Towards an evaluation of Cam233;l233;on -- 4. How the tool supports relation extraction -- 4.1 Setting up a new project -- 4.2 Pattern design and adaptation -- 4.3 Pattern evaluation -- 4.4 Text fragment selection -- 4.5 Model enrichment -- 5. Method and Corpora for evaluating the set of knowledge patterns -- 5.1 Pattern design by using previous work -- 5.2 Varied corpora -- 5.3 Evaluating the patterns -- 6. Results -- 6.1 Definition patterns -- 6.2 Taxonomic and other patterns -- 7. Discussion -- 7.1 Pattern elaboration -- 7.2 What is a 8220;generic pattern8221;? -- 7.3 Needed skills to perform the evaluation task -- 7.4 Need for documenting patterns -- 8. Conclusion -- Notes -- References -- Definitional verbal patterns for semantic relation extraction -- 1. Introduction -- 2. The role of definitional contexts for the extraction of semantic relations -- 2.1 Finding semantic relations in definitions -- 2.2 Semantic relations and corpora -- 2.3 Definitional knowledge extraction -- 3. Definitional verbal patterns related to specific semantic relationships -- 3.1 Analytic verbal patterns -- 3.2 Functional verbal patterns -- 3.3 Meronymic and extensional verbal patterns -- 3.4 Synonymic verbal patterns -- 3.5 Structural classification -- 4. ECODE, a definitional context extraction system -- 4.1 Corpus -- 4.2 Extraction of occurrences of definitional verbal patterns -- 4.3 Filtering of non-relevant contexts -- 4.4 Identifying constitutive elements -- 4.5 Evaluation -- 5. Conclusions -- Acknowledgments -- Notes -- References -- Patrones l233;xicos para la extracci243;n de conceptos vinculados por la relaci243;n parte-todo en espa241;ol -- 1. Introducci243;n -- 2. Las relaciones conceptuales -- 2.1 La relaci243;n parte-todo y su clasificaci243;n -- 2.2 Relaciones similares a la relaci243;n parte-todo -- 3. Extracci243;n de relaciones conceptuales mediante patrones -- 4. Una metodolog237;a basada en corpus para detectar pa. Semantics. http://id.loc.gov/authorities/subjects/sh85119870 Relational grammar. http://id.loc.gov/authorities/subjects/sh85112488 Arc pair grammar. http://id.loc.gov/authorities/subjects/sh85006478 Semantics https://id.nlm.nih.gov/mesh/D012660 Sémantique. Grammaire relationnelle. semantics. aat LANGUAGE ARTS & DISCIPLINES Linguistics Semantics. bisacsh Relational grammar fast Semantics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85119870 http://id.loc.gov/authorities/subjects/sh85112488 http://id.loc.gov/authorities/subjects/sh85006478 https://id.nlm.nih.gov/mesh/D012660 |
| title | Probing semantic relations : exploration and identification in specialized texts / |
| title_auth | Probing semantic relations : exploration and identification in specialized texts / |
| title_exact_search | Probing semantic relations : exploration and identification in specialized texts / |
| title_full | Probing semantic relations : exploration and identification in specialized texts / edited by Alain Auger, Caroline Barrière. |
| title_fullStr | Probing semantic relations : exploration and identification in specialized texts / edited by Alain Auger, Caroline Barrière. |
| title_full_unstemmed | Probing semantic relations : exploration and identification in specialized texts / edited by Alain Auger, Caroline Barrière. |
| title_short | Probing semantic relations : |
| title_sort | probing semantic relations exploration and identification in specialized texts |
| title_sub | exploration and identification in specialized texts / |
| topic | Semantics. http://id.loc.gov/authorities/subjects/sh85119870 Relational grammar. http://id.loc.gov/authorities/subjects/sh85112488 Arc pair grammar. http://id.loc.gov/authorities/subjects/sh85006478 Semantics https://id.nlm.nih.gov/mesh/D012660 Sémantique. Grammaire relationnelle. semantics. aat LANGUAGE ARTS & DISCIPLINES Linguistics Semantics. bisacsh Relational grammar fast Semantics fast |
| topic_facet | Semantics. Relational grammar. Arc pair grammar. Semantics Sémantique. Grammaire relationnelle. semantics. LANGUAGE ARTS & DISCIPLINES Linguistics Semantics. Relational grammar Electronic book. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=333437 |
| work_keys_str_mv | AT augeralain probingsemanticrelationsexplorationandidentificationinspecializedtexts AT barrierecaroline probingsemanticrelationsexplorationandidentificationinspecializedtexts |