{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/text-generation/papers/52","list_of":"/task/text-generation","task":"Text Generation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":52,"pages_in_order":54,"rows_per_page":100,"rows":[5101,5200],"of":5335,"counts":{"archive_papers_tagged":5335,"with_a_code_link":2047,"where_syntology_ran_a_sample":610,"not_listed_spam_title":0,"listed":5335,"listed_where_code_ran":610,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":503,"every_run_a_failure_of_syntologys_instrument":107,"listed_with_a_run_with_no_instrument_failure":503,"listed_every_run_a_failure_of_syntologys_instrument":107,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/text-generation","prev":"/task/text-generation/papers/51","next":"/task/text-generation/papers/53","papers":[{"url":null,"slug":"generating-valence-shifted-turkish-sentences","title":"Generating Valence Shifted Turkish Sentences","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-user-models-for-online-river","title":"Latent User Models for Online River Information Tailoring","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-blame-to-avoid-positive-face-threats","title":"Modeling Blame to Avoid Positive Face Threats in Natural Language Generation","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-adaptive-natural-language-generation","title":"Multi-adaptive Natural Language Generation using Principal Component Regression","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-generation-with-vocabulary","title":"Natural Language Generation with Vocabulary Constraints","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"patientnarr-towards-generating-patient","title":"PatientNarr: Towards generating patient-centric summaries of hospital stays","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/predicting-grammaticality-on-an-ordinal-scale","slug":"predicting-grammaticality-on-an-ordinal-scale","title":"Predicting Grammaticality on an Ordinal Scale","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-8th-international-natural","title":"Proceedings of the 8th International Natural Language Generation Conference (INLG)","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-inlg-and-sigdial-2014","title":"Proceedings of the INLG and SIGDIAL 2014 Joint Session","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"surface-realisation-from-knowledge-bases","title":"Surface Realisation from Knowledge-Bases","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tbi-doc-generating-patient-clinician-reports","title":"TBI-Doc: Generating Patient \\& Clinician Reports from Brain Imaging Data","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"text-simplification-using-synchronous","title":"Text simplification using synchronous dependency grammars: Generalising automatically harvested rules","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-parlance-mobile-application-for","title":"The PARLANCE mobile application for interactive search in English and Mandarin","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-description-of-symbolic-maps","title":"Towards a Description of Symbolic Maps","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-segment-based-recognition-of","title":"Towards segment-based recognition of argumentation structure in short texts","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-surface-realization-with-ccgs-induced","title":"Towards Surface Realization with CCGs Induced from Dependencies","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tuning-a-grammar-correction-system-for","title":"Tuning a Grammar Correction System for Increased Precision","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stage-stochastic-email-synthesizer","title":"Two-Stage Stochastic Email Synthesizer","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stage-stochastic-natural-language","title":"Two-Stage Stochastic Natural Language Generation for Email Synthesis by Modeling Sender Style and Topic Structure","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-morphology-based-vocabulary","title":"Unsupervised Morphology-Based Vocabulary Expansion","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-conceptual-spaces-to-model-domain","title":"Using Conceptual Spaces to Model Domain Knowledge in Data-to-Text Systems","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-evaluation-methodology-for-nlg","title":"A Comparative Evaluation Methodology for NLG in Interactive Systems","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multimodal-corpus-of-rapid-dialogue-games","title":"A Multimodal Corpus of Rapid Dialogue Games","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multimodal-interpreter-for-3d-visualization","title":"A multimodal interpreter for 3D visualization and animation of verbal concepts","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"aggregation-methods-for-efficient-collocation","title":"Aggregation methods for efficient collocation detection","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"aligning-predicate-argument-structures-for","title":"Aligning Predicate-Argument Structures for Paraphrase Fragment Extraction","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-document-structure-in-a-very-large","title":"Detecting Document Structure in a Very Large Corpus of UK Financial Reports","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"extracting-a-bilingual-semantic-grammar-from","title":"Extracting a bilingual semantic grammar from FrameNet-annotated corpora","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-tell-a-schneemann-from-a-milchmann-an","title":"How to Tell a Schneemann from a Milchmann: An Annotation Scheme for Compound-Internal Relations","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"out-in-the-open-finding-and-categorising","title":"Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"priberam-compressive-summarization-corpus-a","title":"Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-methods-for-expanding","title":"Semi-supervised methods for expanding psycholinguistics norms by integrating distributional similarity with the structure of WordNet","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-cuhk-discourse-treebank-for-chinese","title":"The CUHK Discourse TreeBank for Chinese: Annotating Explicit Discourse Connectives for the Chinese TreeBank","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"valency-and-word-order-in-czech-a-corpus","title":"Valency and Word Order in Czech --- A Corpus Probe","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"xlid-lexica-cross-lingual-linked-data-lexica","title":"xLiD-Lexica: Cross-lingual Linked Data Lexica","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-natural-language-descriptions-from","title":"Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System","date":"2014-04-24","arxiv_id":"1405.6164","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-natural-language-instructor-for-pedestrian","title":"A Natural Language Instructor for pedestrian navigation based in generation by selection","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-supervised-model-for-extraction-of","title":"A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-eye-tracking-evaluation-of-some-parser","title":"An eye-tracking evaluation of some parser complexity metrics","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"click-or-type-an-analysis-of-wizards","title":"Click or Type: An Analysis of Wizard's Interaction for Future Wizard Interface Design","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"finding-middle-ground-multi-objective-natural","title":"Finding middle ground? Multi-objective Natural Language Generation from time-series data","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-query-generation","title":"Incremental Query Generation","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"information-structure-prediction-for-visual","title":"Information Structure Prediction for Visual-world Referring Expressions","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mining-human-interactions-to-construct-a","title":"Mining human interactions to construct a virtual guide for a virtual fair","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"paradigm-paraphrase-diagnostics-through","title":"PARADIGM: Paraphrase Diagnostics through Grammar Matching","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"studying-the-semantic-context-of-two-dutch","title":"Studying the Semantic Context of two Dutch Causal Connectives","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-of-phonologically","title":"Machine Learning of Phonologically Conditioned Noun Declensions For Tamil Morphological Generators","date":"2014-02-14","arxiv_id":"1402.3382","repositories_listed":0,"syntology":null},{"url":null,"slug":"ontoverbal-a-generic-tool-and-practical","title":"OntoVerbal: a Generic Tool and Practical Application to SNOMED CT","date":"2013-12-10","arxiv_id":"1312.2798","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-corpus-based-approach-to-linguistic","title":"A Corpus-based Approach to Linguistic Function","date":"2013-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"basic-principles-for-segmenting-thai-edus","title":"Basic Principles for Segmenting Thai EDUs","date":"2013-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bahaba-a-route-generator-system-for-mobile","title":"BahaBa: A Route Generator System for Mobile Devices","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-taxonomic-relations-between-pairs","title":"Classifying Taxonomic Relations between Pairs of Wikipedia Articles","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dependency-language-models-for-sentence","title":"Dependency Language Models for Sentence Completion","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-models-for-lexical-acquisition-of","title":"Hybrid Models for Lexical Acquisition of Correlated Styles","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"image-description-using-visual-dependency","title":"Image Description using Visual Dependency Representations","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"inducing-document-plans-for-concept-to-text","title":"Inducing Document Plans for Concept-to-Text Generation","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-presence-of-discourse","title":"Predicting the Presence of Discourse Connectives","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-resolution-of-referring","title":"Predicting the Resolution of Referring Expressions from User Behavior","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-continuous-translation-models","title":"Recurrent Continuous Translation Models","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"with-blinkers-on-robust-prediction-of-eye","title":"With Blinkers on: Robust Prediction of Eye Movements across Readers","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-case-study-towards-turkish-paraphrase","title":"A Case Study Towards Turkish Paraphrase Alignment","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-generative-model-of-vector-space-semantics","title":"A Generative Model of Vector Space Semantics","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-statistical-nlg-framework-for-aggregated","title":"A Statistical NLG Framework for Aggregated Planning and Realization","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/abstract-meaning-representation-for","slug":"abstract-meaning-representation-for","title":"Abstract Meaning Representation for Sembanking","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"abstractive-meeting-summarization-with","title":"Abstractive Meeting Summarization with Entailment and Fusion","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"adapting-simplenlg-for-bilingual-english","title":"Adapting SimpleNLG for Bilingual English-French Realisation","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"aligning-formal-meaning-representations-with","title":"Aligning Formal Meaning Representations with Surface Strings for Wide-Coverage Text Generation","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-automatic-method-for-building-a-data-to","title":"An Automatic Method for Building a Data-to-Text Generator","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ancora-upf-a-multi-level-annotation-of","title":"AnCora-UPF: A Multi-Level Annotation of Spanish","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-interpretation-of-the-english","title":"Automatic Interpretation of the English Possessive","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-voice-selection-in-japanese-based","title":"Automatic Voice Selection in Japanese based on Various Linguistic Information","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-a-germansimple-german-parallel","title":"Building a German/Simple German Parallel Corpus for Automatic Text Simplification","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-intra-and-multi-sentential","title":"Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-referring-expression-generation-and","title":"Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"conditional-random-fields-for-responsive","title":"Conditional Random Fields for Responsive Surface Realisation using Global Features","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"content-selection-challenge-university-of","title":"Content Selection Challenge - University of Aberdeen Entry","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"continuous-measurement-scales-in-human","title":"Continuous Measurement Scales in Human Evaluation of Machine Translation","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deconstructing-human-literature-reviews-a","title":"Deconstructing Human Literature Reviews -- A Framework for Multi-Document Summarization","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-the-expression-of-contrast-in-the","title":"Enhancing the Expression of Contrast in the SPaRKy Restaurant Corpus","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-ontology-lexica-for-generating","title":"Exploiting Ontology Lexica for Generating Natural Language Texts from RDF Data","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-and-robust-compressive-summarization","title":"Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-and-interpreting-referring","title":"Generating and Interpreting Referring Expressions as Belief State Planning and Plan Recognition","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-elliptic-coordination","title":"Generating Elliptic Coordination","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-natural-language-questions-to","title":"Generating Natural Language Questions to Support Learning On-Line","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-student-feedback-from-time-series","title":"Generating Student Feedback from Time-Series Data Using Reinforcement Learning","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generation-of-quantified-referring","title":"Generation of Quantified Referring Expressions: Evidence from Experimental Data","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gennext-a-consolidated-domain-adaptable-nlg","title":"GenNext: A Consolidated Domain Adaptable NLG System","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"graphs-and-spatial-relations-in-the","title":"Graphs and Spatial Relations in the Generation of Referring Expressions","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"greetings-generation-in-video-role-playing","title":"Greetings Generation in Video Role Playing Games","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"iitb-system-for-conll-2013-shared-task-a","title":"IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-order-natural-language-texts","title":"Learning to Order Natural Language Texts","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"limsi-wmt13","title":"LIMSI @ WMT13","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lor-kbgen-a-hybrid-approach-to-generating","title":"LOR-KBGEN, A Hybrid Approach To Generating from the KBGen Knowledge-Base","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mime-nlg-in-pre-hospital-care","title":"MIME - NLG in Pre-Hospital Care","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mime-nlg-support-for-complex-and-unstable-pre","title":"MIME- NLG Support for Complex and Unstable Pre-hospital Emergencies","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-step-natural-language-understanding","title":"Multi-step Natural Language Understanding","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-access-to-cultural-heritage","title":"Multilingual access to cultural heritage content on the Semantic Web","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"narrative-composition-achieving-the-perceived","title":"Narrative Composition: Achieving the Perceived Linearity of Narrative","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-generation-and-summarization","title":"Natural Language Generation and Summarization at RALI","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-feasibility-of-automatically","title":"On the Feasibility of Automatically Describing n-dimensional Objects","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"25060312acd94c33519c6ad1bbaa98c6191c17a4446f64c480726d3accf6c541","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}