{"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/semantic-parsing/papers/12","list_of":"/task/semantic-parsing","task":"Semantic Parsing","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":12,"pages_in_order":13,"rows_per_page":100,"rows":[1101,1200],"of":1202,"counts":{"archive_papers_tagged":1202,"with_a_code_link":414,"where_syntology_ran_a_sample":96,"not_listed_spam_title":0,"listed":1202,"listed_where_code_ran":96,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":81,"every_run_a_failure_of_syntologys_instrument":15,"listed_with_a_run_with_no_instrument_failure":81,"listed_every_run_a_failure_of_syntologys_instrument":15,"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/semantic-parsing","prev":"/task/semantic-parsing/papers/11","next":"/task/semantic-parsing/papers/13","papers":[{"url":"/paper/the-language-of-actions-recovering-the-syntax","slug":"the-language-of-actions-recovering-the-syntax","title":"The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-readme-eval-interpreting-readme-file","title":"Towards README-EVAL : Interpreting README File Instructions","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":"training-a-korean-srl-system-with-rich","title":"Training a Korean SRL System with Rich Morphological Features","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"what-are-you-talking-about-text-to-image","title":"What are You Talking About? Text-to-Image Coreference","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-semantic-parsing-using","title":"Contextual Semantic Parsing using Crowdsourced Spatial Descriptions","date":"2014-05-01","arxiv_id":"1405.0145","repositories_listed":0,"syntology":null},{"url":null,"slug":"disambiguating-verbs-by-collocation-corpus","title":"Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing","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":"first-approach-toward-semantic-role-labeling","title":"First approach toward Semantic Role Labeling for Basque","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"huric-a-human-robot-interaction-corpus","title":"HuRIC: a Human Robot Interaction Corpus","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-extended-wordnet-knowledge-base","title":"Multilingual eXtended WordNet Knowledge Base: Semantic Parsing and Translation of Glosses","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nosta-d-named-entity-annotation-for-german","title":"NoSta-D Named Entity Annotation for German: Guidelines and Dataset","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"not-an-interlingua-but-close-comparison-of","title":"Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicate-matrix-extending-semlink-through","title":"Predicate Matrix: extending SemLink through WordNet mappings","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"refractive-an-open-source-tool-to-extract","title":"REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"single-classifier-approach-for-verb-sense","title":"Single Classifier Approach for Verb Sense Disambiguation based on Generalized Features","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-multilingual-paraphrase-database","title":"The Multilingual Paraphrase Database","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-norwegian-dependency-treebank","title":"The Norwegian Dependency Treebank","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-procedure-of-lexico-semantic-annotation","title":"The Procedure of Lexico-Semantic Annotation of Sk\\ladnica Treebank","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unixman-corpus-a-resource-for-language","title":"UnixMan Corpus: A Resource for Language Learning in the Unix Domain","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-c50-and-exhaustive-search-for-boosting","title":"Using C5.0 and Exhaustive Search for Boosting Frame-Semantic Parsing Accuracy","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-architecture-for-semantic-parsing","title":"A Deep Architecture for Semantic Parsing","date":"2014-04-29","arxiv_id":"1404.7296","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-temporal-relations-with-simple","title":"Classifying Temporal Relations with Simple Features","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"empirically-motivated-generalizations-of-ccg","title":"Empirically-motivated Generalizations of CCG Semantic Parsing Learning Algorithms","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"inducing-example-based-semantic-frames-from-a","title":"Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"probabilistic-type-theory-for-incremental","title":"Probabilistic Type Theory for Incremental Dialogue Processing","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"frame-semantic-parsing","title":"Frame-Semantic Parsing","date":"2014-03-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"integrative-semantic-dependency-parsing-via","title":"Integrative Semantic Dependency Parsing via Efficient Large-scale Feature Selection","date":"2014-01-23","arxiv_id":"1401.6050","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-corpus-and-imitation-learning-framework","title":"A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing","date":"2014-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"first-steps-towards-a-predicate-matrix","title":"First steps towards a Predicate Matrix","date":"2014-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-semantic-parsing-without-question","title":"Large-scale Semantic Parsing without Question-Answer Pairs","date":"2014-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-classification-of-semantic-patterns","title":"Automatic classification of semantic patterns from the Pattern Dictionary of English Verbs","date":"2013-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/the-groningen-meaning-bank","slug":"the-groningen-meaning-bank","title":"The Groningen Meaning Bank","date":"2013-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multimodal-lda-model-integrating-textual","title":"A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"effectiveness-and-efficiency-of-open-relation","title":"Effectiveness and Efficiency of Open Relation Extraction","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/mctest-a-challenge-dataset-for-the-open","slug":"mctest-a-challenge-dataset-for-the-open","title":"MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"scaling-semantic-parsers-with-on-the-fly","title":"Scaling Semantic Parsers with On-the-Fly Ontology Matching","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/semantic-parsing-on-freebase-from-question","slug":"semantic-parsing-on-freebase-from-question","title":"Semantic Parsing on Freebase from Question-Answer Pairs","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-shallow-semantic-parsing-and-relation","title":"Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lambda-dependency-based-compositional","title":"Lambda Dependency-Based Compositional Semantics","date":"2013-09-17","arxiv_id":"1309.4408","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-video-and-text-parsing-for","title":"Joint Video and Text Parsing for Understanding Events and Answering Queries","date":"2013-08-29","arxiv_id":"1308.6628","repositories_listed":0,"syntology":null},{"url":null,"slug":"adapting-discriminative-reranking-to-grounded","title":"Adapting Discriminative Reranking to Grounded Language Learning","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":"/paper/answer-extraction-by-recursive-parse-tree","slug":"answer-extraction-by-recursive-parse-tree","title":"Answer Extraction by Recursive Parse Tree Descent","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-based-semi-supervised-model-for-joint","title":"Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"grounded-unsupervised-semantic-parsing","title":"Grounded Unsupervised Semantic Parsing","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-pathological-findings-in-german","title":"Identifying Pathological Findings in German Radiology Reports Using a Syntacto-semantic Parsing Approach","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-machine-translation-by-training","title":"Improving machine translation by training against an automatic semantic frame based evaluation metric","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"interpreting-situated-dialogue-utterances-an","title":"Interpreting Situated Dialogue Utterances: an Update Model that Uses Speech, Gaze, and Gesture Information","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-semantic-parsing-via-schema","title":"Large-scale Semantic Parsing via Schema Matching and Lexicon Extension","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-domain-independent-information-in","title":"Leveraging Domain-Independent Information in Semantic Parsing","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":"models-of-semantic-representation-with-visual","title":"Models of Semantic Representation with Visual Attributes","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"philosophers-are-mortal-inferring-the-truth","title":"Philosophers are Mortal: Inferring the Truth of Unseen Facts","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reranking-with-linguistic-and-semantic","title":"Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-parsing-as-machine-translation","title":"Semantic Parsing as Machine Translation","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-parsing-with-combinatory-categorial","title":"Semantic Parsing with Combinatory Categorial Grammars","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-effects-of-lexical-resource-quality-on","title":"The Effects of Lexical Resource Quality on Preference Violation Detection","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vector-space-semantic-parsing-a-framework-for","title":"Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"wordnet-based-cross-language-identification","title":"Wordnet-Based Cross-Language Identification of Semantic Relations","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-sentence-is-worth-a-thousand-pixels","title":"A Sentence Is Worth a Thousand Pixels","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-syntactic-and-semantic-structures-in","title":"Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nonparametric-scene-parsing-with-adaptive","title":"Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-parsing-freebase-towards-open-domain","title":"Semantic Parsing Freebase: Towards Open-domain Semantic Parsing","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sxucfn-core-sts-models-integrating-framenet","title":"SXUCFN-Core: STS Models Integrating FrameNet Parsing Information","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-semantic-unification-to-generate","title":"Using Semantic Unification to Generate Regular Expressions from Natural Language","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tidying-up-the-basement-a-tale-of-large-scale","title":"Tidying up the Basement: A Tale of Large-Scale Parsing on National eInfrastructure","date":"2013-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"scope-disambiguation-as-a-tagging-task","title":"Scope Disambiguation as a Tagging Task","date":"2013-03-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dijkstra-wsa-a-graph-based-approach-to-word","title":"Dijkstra-WSA: A Graph-Based Approach to Word Sense Alignment","date":"2013-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"token-and-type-constraints-for-cross-lingual","title":"Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging","date":"2013-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-learning-of-semantic","title":"Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions","date":"2013-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-conditional-random-field-based-traditional","title":"A Conditional Random Field-based Traditional Chinese Base Phrase Parser for SIGHAN Bake-off 2012 Evaluation","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-framework-for-discourse-argument","title":"A Unified Framework for Discourse Argument Identification via Shallow Semantic Parsing","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-compositional-semantics-for-open","title":"Learning Compositional Semantics for Open Domain Semantic Parsing","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"light-textual-inference-for-semantic-parsing","title":"Light Textual Inference for Semantic Parsing","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-parsing-of-tamil-sentences","title":"Semantic Parsing of Tamil Sentences","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"translating-questions-to-sql-queries-with","title":"Translating Questions to SQL Queries with Generative Parsers Discriminatively Reranked","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-exact-dual-decomposition-algorithm-for","title":"An Exact Dual Decomposition Algorithm for Shallow Semantic Parsing with Constraints","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-based-semi-supervised-learning","title":"Graph-based Semi-Supervised Learning Algorithms for NLP","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"icta-system-combination-for-chinese-semantic","title":"ICT:A System Combination for Chinese Semantic Dependency Parsing","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"linking-named-entities-to-any-database","title":"Linking Named Entities to Any Database","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"pattern-learning-for-relation-extraction-with","title":"Pattern Learning for Relation Extraction with a Hierarchical Topic Model","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"probabilistic-dialogue-models-with-prior","title":"Probabilistic Dialogue Models with Prior Domain Knowledge","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-parsing-with-bayesian-tree","title":"Semantic Parsing with Bayesian Tree Transducers","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"state-of-the-art-kernels-for-natural-language","title":"State-of-the-Art Kernels for Natural Language Processing","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-frame-based-semantic-role","title":"Unsupervised frame based Semantic Role Induction: application to French and English","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"verb-classification-using-distributional","title":"Verb Classification using Distributional Similarity in Syntactic and Semantic Structures","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-training-of-semantic","title":"Weakly Supervised Training of Semantic Parsers","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fully-automatic-semantic-mt-evaluation","title":"Fully Automatic Semantic MT Evaluation","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-based-lexicon-expansion-with-sparsity","title":"Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-extraction-and-joint-inference","title":"Knowledge Extraction and Joint Inference Using Tractable Markov Logic","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-interpret-natural-language","title":"Learning to Interpret Natural Language Instructions","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"low-dimensional-discriminative-reranking","title":"Low-Dimensional Discriminative Reranking","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-structures-in-nlp-constrained","title":"Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-induction-of-frame-semantic","title":"Unsupervised Induction of Frame-Semantic Representations","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-annotation-scheme-for-quantifier-scope","title":"An Annotation Scheme for Quantifier Scope Disambiguation","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-implementation-of-a-latvian-resource","title":"An implementation of a Latvian resource grammar in Grammatical Framework","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"constructing-large-proposition-databases","title":"Constructing Large Proposition Databases","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lemmatising-serbian-as-category-tagging-with","title":"Lemmatising Serbian as Category Tagging with Bidirectional Sequence Classification","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"da5ebea21e150ae5f211b92a59b2cd7fd3766b94f75b2d463c08959896a919cb","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}