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  1. Discourseology of Linguistic Consciousness: Neural Network Modeling of Some Structural and Semantic Relationships.Vitalii Shymko - 2021 - Psycholinguistics 29 (1):193-207.
    Objective. Study of the validity and reliability of the discourse approach for the psycholinguistic understanding of the nature, structure, and features of the linguistic consciousness functioning. -/- Materials & Methods. This paper analyzes artificial neural network models built on the corpus of texts, which were obtained in the process of experimental research of the coronavirus quarantine concept as a new category of linguistic consciousness. The methodology of feedforward artificial neural networks (multilayer perceptron) was used in order to assess the possibility (...)
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  2. Short Communication: Linguistic Semantics of the Covid-19 Quarantine Concept Perceived by Ukrainians.Vitalii Shymko & Anzhela Babadzhanova - 2020 - Advance.
    The manuscript presents a summary of the results of the linguistic semantics study of Covid-19 related quarantine. Research conducted on a sample of Russian speaking Ukrainians. Found content and structure of the respective discursive field. Described features of inter-discourse connections. Established that the actualization of some discourses is accompanied by the deactivation of others, what makes quarantine semantics biased. Also, it was suggested that some of the discourses are indirectly positively associated and form the semantic core of the quarantine concept.
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  3. Study of the Covid-19 Related Quarantine Concept as an Emerging Category of a Linguistic Consciousness.Vitalii Shymko & Anzhela Babadzhanova - 2020 - Psycholinguistics 28 (1):267-287.
    Objective. Study of the Covid-19 related quarantine concept as an emerging category of linguistic consciousness of Ukrainians. -/- Materials & Methods. The strategy of the study is based on the logical and methodological concept of inductivism. Respondents were asked to write down their own understanding of the quarantine, formulate an appropriate definition and describe the situation, which in their opinion is the exact opposite to quarantine. Respondents also assessed how much their psychological well-being, their daily lifestyle during quarantine had changed, (...)
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  4. Using Corpus Linguistics to Investigate Mathematical Explanation.Juan Pablo Mejía Ramos, Lara Alcock, Kristen Lew, Paolo Rago, Chris Sangwin & Matthew Inglis - 2019 - In Eugen Fischer & Mark Curtis (eds.), Methodological Advances in Experimental Philosophy. London: Bloomsbury Academic. pp. 239–263.
    In this chapter we use methods of corpus linguistics to investigate the ways in which mathematicians describe their work as explanatory in their research papers. We analyse use of the words explain/explanation (and various related words and expressions) in a large corpus of texts containing research papers in mathematics and in physical sciences, comparing this with their use in corpora of general, day-to-day English. We find that although mathematicians do use this family of words, such use is considerably less prevalent (...)
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  5. Recursion: A Computational Investigation Into the Representation and Processing of Language. [REVIEW]Ryan M. Nefdt - 2019 - Philosophical Quarterly 69 (274):206-209.
    Recursion: A Computational Investigation into the Representation and Processing of Language. By Lobina David.
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  6. Natural Language Understanding: Methodological Conceptualization.Vitalii Shymko - 2019 - Psycholinguistics 25 (1):431-443.
    This article contains the results of a theoretical analysis of the phenomenon of natural language understanding (NLU), as a methodological problem. The combination of structural-ontological and informational-psychological approaches provided an opportunity to describe the subject matter field of NLU, as a composite function of the mind, which systemically combines the verbal and discursive structural layers. In particular, the idea of NLU is presented, on the one hand, as the relation between the discourse of a specific speech message and the meta-discourse (...)
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  7. Logical Aspects of Computational Linguistics. Celebrating 20 Years of LACL (1996–2016).Maxime Amblard, Philippe de Groote, Sylvain Pogodalla & Christian Rétoré (eds.) - 2016 - Berlin, Germany: Springer.
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  8. Division of Labor in Vocabulary Structure: Insights From Corpus Analyses.Morten H. Christiansen & Padraic Monaghan - 2016 - Topics in Cognitive Science 8 (3):610-624.
    Psychologists have used experimental methods to study language for more than a century. However, only with the recent availability of large-scale linguistic databases has a more complete picture begun to emerge of how language is actually used, and what information is available as input to language acquisition. Analyses of such “big data” have resulted in reappraisals of key assumptions about the nature of language. As an example, we focus on corpus-based research that has shed new light on the arbitrariness of (...)
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  9. Continuations and Natural Language.Chris Barker & Chung-Chieh Shan - 2014 - Oxford University Press.
    This book takes concepts developed by researchers in theoretical computer science and adapts and applies them to the study of natural language meaning. Summarizing over a decade of research, Chris Barker and Chung-chieh Shan put forward the Continuation Hypothesis: that the meaning of a natural language expression can depend on its own continuation.
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  10. Natural Language Inference in Coq.Stergios Chatzikyriakidis & Zhaohui Luo - 2014 - Journal of Logic, Language and Information 23 (4):441-480.
    In this paper we propose a way to deal with natural language inference by implementing Modern Type Theoretical Semantics in the proof assistant Coq. The paper is a first attempt to deal with NLI and natural language reasoning in general by using the proof assistant technology. Valid NLIs are treated as theorems and as such the adequacy of our account is tested by trying to prove them. We use Luo’s Modern Type Theory with coercive subtyping as the formal language into (...)
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  11. Learning a Generative Probabilistic Grammar of Experience: A Process‐Level Model of Language Acquisition.Oren Kolodny, Arnon Lotem & Shimon Edelman - 2014 - Cognitive Science 38 (4):227-267.
    We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in this (...)
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  12. The Effect of Speaker-Specific Information on Pragmatic Inferences.Daniel Grodner & Julie Sedivy - 2011 - In Edward Gibson & Neal J. Pearlmutter (eds.), The Processing and Acquisition of Reference. MIT Press.
    Utterances can convey more information than they explicitly encode, and speakers exploit communicative conventions in order to say more with less. However, the burden this places on perceivers is not well understood. This chapter examines the effect of speaker-specific information on pragmatic inferences using data from an experiment which investigated the time course of the use of pragmatic information in language comprehension. Previous evidence suggests that comprehenders who encounter a referential form, including a modifier that commonly indicates contrastiveness, assume that (...)
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  13. Spoken Language Processing by Machine.Roger K. Moore - 2009 - In Gareth Gaskell (ed.), Oxford Handbook of Psycholinguistics. Oxford University Press.
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  14. Automatic Analyses of Language, Discourse, and Situation Models.Arthur C. Graesser, Moongee Jeon, Zhiqiang Cai, Danielle S. McNamara, J. Auracher & W. van Peer - 2008 - In Jan Auracher & Willie van Peer (eds.), New Beginnings in Literary Studies. Cambridge Scholars Press.
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  15. Categorical Structure in Early Semantic Networks of Nouns.Thomas Hills, Mounir Maouene, Josita Maouene, Adam Sheya & Linda B. Smith - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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  16. Supplementing Entity Coherence with Local Rhetorical Relations for Information Ordering.Nikiforos Karamanis - 2007 - Journal of Logic, Language and Information 16 (4):445-464.
    This paper investigates whether the model of local rhetorical coherence suggested in Knott et al. (2001) can boost the performance of the Centering-based metrics of entity coherence employed by Karamanis et al. (2004) for the task of information ordering. Rhetorical coherence is integrated into the way Centering’s basic data structures are derived from the annotated features of the GNOME corpus. The results indicate that (a) the simplest metric continues to perform better than its competitors even when local rhetorical coherence is (...)
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  17. Probabilistic Models of Language Processing and Acquisition.Nick Chater & Christopher D. Manning - 2006 - Trends in Cognitive Sciences 10 (7):335–344.
    Probabilistic methods are providing new explanatory approaches to fundamental cognitive science questions of how humans structure, process and acquire language. This review examines probabilistic models defined over traditional symbolic structures. Language comprehension and production involve probabilistic inference in such models; and acquisition involves choosing the best model, given innate constraints and linguistic and other input. Probabilistic models can account for the learning and processing of language, while maintaining the sophistication of symbolic models. A recent burgeoning of theoretical developments and online (...)
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  18. A Plea for Automated Language-to-Logical-Form Converters.Joseph S. Fulda - 2006 - RASK 24:87-102.
    This has been made available gratis by the publisher. -/- This piece gives the raison d'etre for the development of the converters mentioned in the title. Three reasons are given, one linguistic, one philosophical, and one practical. It is suggested that at least /two/ independent converters are needed. -/- This piece ties together the extended paper "Abstracts from Logical Form I/II," and the short piece providing the comprehensive theory alluded to in the abstract of that extended paper in "Pragmatics, Montague, (...)
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  19. Put My Galakmid Coin Into the Dispenser and Kick It: Computational Linguistics and Theorem Proving in a Computer Game. [REVIEW]Alexander Koller, Ralph Debusmann, Malte Gabsdil & Kristina Striegnitz - 2004 - Journal of Logic, Language and Information 13 (2):187-206.
    We combine state-of-the-art techniques from computational linguisticsand theorem proving to build an engine for playing text adventures,computer games with which the player interacts purely through naturallanguage. The system employs a parser for dependency grammar and ageneration system based on TAG, and has components for resolving andgenerating referring expressions. Most of these modules make heavy useof inferences offered by a modern theorem prover for descriptionlogic. Our game engine solves some problems inherent in classical textadventures, and is an interesting test case for (...)
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  20. D-LTAG System: Discourse Parsing with a Lexicalized Tree-Adjoining Grammar. [REVIEW]Katherine Forbes, Eleni Miltsakaki, Rashmi Prasad, Anoop Sarkar, Aravind Joshi & Bonnie Webber - 2003 - Journal of Logic, Language and Information 12 (3):261-279.
    We present an implementation of a discourse parsing system for alexicalized Tree-Adjoining Grammar for discourse, specifying the integrationof sentence and discourse level processing. Our system is based on theassumption that the compositional aspects of semantics at thediscourse level parallel those at the sentence level. This coupling isachieved by factoring away inferential semantics and anaphoric features ofdiscourse connectives. Computationally, this parallelism is achievedbecause both the sentence and discourse grammar are LTAG-based and the sameparser works at both levels. The approach to an (...)
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  21. Computer Simulation: A New Scientific Approach to the Study of Language Evolution.Angelo Cangelosi & Domenico Parisi - 2002 - In A. Cangelosi & D. Parisi (eds.), Simulating the Evolution of Language. Springer Verlag. pp. 3--28.
  22. Phrases and Phraseology – Data and Descriptions.Stefania Nuccorini (ed.) - 2002 - Peter Lang Verlag.
    Phraseology has been acquiring increasing relevance in the fields of linguistics, lexicography and language teaching. This volume brings together data from a variety of sources to arrive at a better understanding and description of various types of 'phrases' and 'phraseological units' as used in 'real' language. The different approaches and objectives of the papers attest to the pervasiveness of phraseology in different languages, sub-languages and registers. The role of different types of corpora is highlighted and native speakers' expectations, culture-specific factors, (...)
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  23. “Identifying Phrasal Connectives in Italian Using Quantitative Methods”.Edoardo Zamuner, Fabio Tamburini & Cristiana de Sanctis - 2002 - In Stefania Nuccorini (ed.), Phrases and Phraseology – Data and Descriptions. Peter Lang Verlag.
    In recent decades, the analysis of phraseology has made use of the exploration of large corpora as a source of quantitative information about language. This paper intends to present the main lines of work in progress based on this empirical approach to linguistic analysis. In particular, we focus our attention on some problems relating to the morpho-syntactic annotation of corpora. The CORIS/CODIS corpus of contemporary written Italian, developed at CILTA – University of Bologna (Rossini Favretti 2000; Rossini Favretti, Tamburini, De (...)
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  24. Logical Aspects of Computational Linguistics (LACL'01).Philippe de Groote, Glyn Morrill & Christian Retoré - 2001 - In P. Bouquet (ed.), Lecture Notes in Artificial Intelligence. Kluwer Academic Publishers.
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  25. Ambiguous Discourse in a Compositional Context. An Operational Perspective.Tim Fernando - 2001 - Journal of Logic, Language and Information 10 (1):63-86.
    The processing of sequences of (English) sentences is analyzedcompositionally through transitions that merge sentences, rather thandecomposing them. Transitions that are in a precise senseinertial are related to disjunctive and non-deterministic approaches toambiguity. Modal interpretations are investigated, inducing variousequivalences on sequences.
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  26. Logical Aspects of Computational Linguistics Third International Conference, Lalc '98, Grenoble, France, December 14-16, 1998 : Selected Papers'. [REVIEW]Michael Moortgat - 2001 - Springer Verlag.
    This book constitutes the thoroughly refereed post-proceedings of the Third International Conference on Logical Aspects of Computational Linguistics, LACL'98, held in Grenoble, France, in December 1998. The 15 revised full papers presented together with one invited paper were carefully reviewed and selected during two rounds of refereeing from 33 submissions and 19 conference presentations. Among the topics covered are various types of grammars, categorical inference, automated reasoning, constraint handling, logical forms, dialogue semantics, unification, and proofs.
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  27. Polysemy in a Broad-Coverage Natural Language Processing System.William Dolan, Lucy Vanderwende, Stephen Richardson & Bill Dolan - 2000 - In Yael Ravin & Claudia Leacock (eds.), Polysemy: Theoretical and Computational Approaches. Oxford University Press.
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  28. Conceptual Structures Logical, Linguistic, and Computational Issues : 8th International Conference on Conceptual Structures, Iccs 2000, Darmstadt, Germany, August 2000 : Proceedings. [REVIEW]Bernhard Ganter & Guy W. Mineau - 2000 - Springer Verlag.
    This book constitutes the refereed proceedings of the 8th International Conference on Conceptual Structures, ICCS 2000, held in Darmstadt, Germany in August 2000. The 38 revised full papers presented have been carefully reviewed and selected for inclusion in the proceedings. The book is divided in topical sections on concepts and language, conceptual onthology, conceptual graphs, formal semantics of conceptual structures, contextual logic and formal concept analysis, conceptual structures in practice, and computational aspects of conceptual structures.
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  29. Polysemy: A Problem of Definition.Cliff Goddard - 2000 - In Yael Ravin & Claudia Leacock (eds.), Polysemy: Theoretical and Computational Approaches. Oxford University Press. pp. 129--151.
  30. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition.Daniel Jurafsky & James H. Martin - 2000 - Prentice-Hall.
    The first of its kind to thoroughly cover language technology at all levels and with all modern technologies this book takes an empirical approach to the ...
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  31. Lexical Representations for Sentence Processing.G. Miller & Claudia Leacock - 2000 - In Yael Ravin & Claudia Leacock (eds.), Polysemy: Theoretical and Computational Approaches. Oxford University Press. pp. 152--160.
  32. Automatic Ambiguity Resolution in Natural Language, Alexander Franz.Christof Monz - 1999 - Journal of Logic, Language and Information 8 (1):111-114.
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  33. Group Theory and Computational Linguistics.Dymetman Marc - 1998 - Journal of Logic, Language and Information 7 (4):461-497.
    There is currently much interest in bringing together the tradition of categorial grammar, and especially the Lambek calculus, with the recent paradigm of linear logic to which it has strong ties. One active research area is designing non-commutative versions of linear logic (Abrusci, 1995; Retoré, 1993) which can be sensitive to word order while retaining the hypothetical reasoning capabilities of standard (commutative) linear logic (Dalrymple et al., 1995). Some connections between the Lambek calculus and computations in groups have long been (...)
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  34. Rich Ontologies for Tense and Aspect.Patrick Blackburn, Claire Gardent & Maarten De Rijke - 1996 - In Jerry Seligman & Dag Westerståhl (eds.), Logic, Language and Computation. CSLI Publications.
    In this paper back-and-forth structures are applied to the semantics of natural language. Back-and-forth structures consist of an event structure and an interval structure communicating via a relational link; transitions in the one structure correspond to transitions in the other. Such entities enable us to view temporal constructions (such as tense, aspect, and temporal connectives) as methods of moving systematically between information sources. We illustrate this with a treatment of the English present perfect, and progressive aspect, that draws on ideas (...)
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  35. Advances in the Computational Study of Language Acquisition.Michael R. Brent - 1996 - Cognition 61 (1-2):1-38.
  36. Semantics, Pragmatics, and Natural-Language Interpretation.Ruth M. Kempson - 1996 - In Shalom Lappin (ed.), The Handbook of Contemporary Semantic Theory. Blackwell. pp. 561--598.
  37. Computational Phonology a Constraint-Based Approach.Steven Bird - 1995
    This book is the first to survey current developments in computational phonology, and it does so in a way that is accessible to computational linguists, phonologists and computer scientists alike.
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  38. Focus and Natural Language Processing.Peter Bosch & Rob van der Sandt (eds.) - 1995 - Ibm Deutschland.
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  39. The Representation of Group Denoting Nouns in a Lexical Knowledge Base.Ann Copestake - 1995 - In Patrick Saint-Dizier & Evelyne Viegas (eds.), Computational Lexical Semantics. Cambridge University Press. pp. 207--231.
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  40. Relations in Knowledge Representation: An Interdisciplinary Study in Nyāya, Mīmāṁsā, Vyākaraṇa, Tantra, Modern Linguistics, and Artificial Intelligence in Computer Application.Keśavacandra Dāśa - 1991 - Sri Satguru Publications.
  41. A Processing Model for the Analysis of One-Way Arguments in Discourse.Robin Cohen - 1990 - Argumentation 4 (4):431-446.
    This paper describes a computational model for analyzing arguments in discourse. In particular, the model describes processes necessary for interpreting one uninterrupted argument from a speaker. The resulting output is a representation for the underlying claim and evidence relations between propositions of the argument. For our processing model we present: (i) a characterization of coherent orderings of propositions, used to limit search for interpretation of each new proposition (ii) a working definition of the evidence relation, used to recognize connections between (...)
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  42. Multiple Meta-Interpreters in a Logical Model of Sentence Processing.Matthew W. Crocker - 1990 - Department of Artificial Intelligence, University of Edinburgh.
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  43. A Syllable-Based Net-Linguistic Approach to Lexical Access.Claudia Kunze - 1990 - In G. Dorffner (ed.), Konnektionismus in Artificial Intelligence Und Kognitionsforschung. Berlin: Springer-Verlag. pp. 28--37.
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  44. A Computational Theory of Perspective and Reference in Narrative.Janyce M. Wiebe & William J. Rapaport - 1988 - In Proceedings of the 26th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. pp. 131-138.
    Narrative passages told from a character's perspective convey the character's thoughts and perceptions. We present a discourse process that recognizes characters'.
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  45. Facing the Truth: Some Advantages of Direct Interpretation. [REVIEW]Edward L. Keenan - 1983 - Linguistics and Philosophy 6 (3):335 - 371.
  46. Context Recognition in Language Comprehension.Eugene Charniak - 1982 - In W. Lehnert (ed.), Strategies for Natural Language Processing. Lawrence Erlbaum. pp. 435--454.
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  47. A Parsing Method for Montague Grammars.Joyce Friedman & David S. Warren - 1978 - Linguistics and Philosophy 2 (3):347 - 372.
    The main result in this paper is a method for obtaining derivation trees from sentences of certain formal grammars. No parsing algorithm was previously known to exist for these grammars.Applied to Montague's PTQ the method produces all parses that could correspond to different meanings. The technique directly addresses scope and reference and provides a framework for examining these phenomena. The solution for PTQ is implemented in an efficient and useful computer program.
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  48. Natural Language and the Computer.Paul L. Garvin - 1966 - Foundations of Language 2 (1):105-106.
  49. Computational Linguistics III.F. Kiefer - 1966 - Foundations of Language 2 (4):405-408.
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  50. LTAG-Spinal and the Treebank.Lucas Champollion & Aravind K. Joshi - unknown
    We introduce LTAG-spinal, a novel variant of traditional Lexicalized Tree Adjoining Grammar (LTAG) with desirable linguistic, computational and statistical properties. Unlike in traditional LTAG, subcategorization frames and the argument-adjunct distinction are left underspecified in LTAG-spinal. LTAG-spinal with adjunction constraints is weakly equivalent to LTAG. The LTAG-spinal formalism is used to extract an LTAG-spinal Treebank from the Penn Treebank with Propbank annotation. Based on Propbank annotation, predicate coordination and LTAG adjunction structures are successfully extracted. The LTAG-spinal Treebank makes explicit semantic relations (...)
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