{"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/dependency-parsing/papers/9","list_of":"/task/dependency-parsing","task":"Dependency 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":9,"pages_in_order":15,"rows_per_page":100,"rows":[801,900],"of":1407,"counts":{"archive_papers_tagged":1407,"with_a_code_link":338,"where_syntology_ran_a_sample":36,"not_listed_spam_title":0,"listed":1407,"listed_where_code_ran":36,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":26,"every_run_a_failure_of_syntologys_instrument":10,"listed_with_a_run_with_no_instrument_failure":26,"listed_every_run_a_failure_of_syntologys_instrument":10,"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/dependency-parsing","prev":"/task/dependency-parsing/papers/8","next":"/task/dependency-parsing/papers/10","papers":[{"url":null,"slug":"dependency-parsing-with-dilated-iterated","title":"Dependency Parsing with Dilated Iterated Graph CNNs","date":"2017-05-01","arxiv_id":"1705.00403","repositories_listed":0,"syntology":null},{"url":null,"slug":"docforia-a-multilayer-document-model","title":"Docforia: A Multilayer Document Model","date":"2017-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"from-universal-dependencies-to-abstract","title":"From Universal Dependencies to Abstract Syntax","date":"2017-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-a-pos-tagset-for-norwegian","title":"Optimizing a PoS Tagset for Norwegian Dependency Parsing","date":"2017-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"real-valued-syntactic-word-vectors-rsv-for","title":"Real-valued Syntactic Word Vectors (RSV) for Greedy Neural Dependency Parsing","date":"2017-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"replacing-oov-words-for-dependency-parsing","title":"Replacing OOV Words For Dependency Parsing With Distributional Semantics","date":"2017-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"swegram-axtendash-a-web-based-tool-for","title":"SWEGRAM -- A Web-Based Tool for Automatic Annotation and Analysis of Swedish Texts","date":"2017-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-universal-dependencies-for-ainu","title":"Toward Universal Dependencies for Ainu","date":"2017-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"udapi-universal-api-for-universal","title":"Udapi: Universal API for Universal Dependencies","date":"2017-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-dependency-evaluation","title":"Universal Dependency Evaluation","date":"2017-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-pos-tagging-and-dependency-parsing-with","title":"Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks","date":"2017-04-25","arxiv_id":"1704.07616","repositories_listed":0,"syntology":null},{"url":null,"slug":"syntax-aware-lstm-model-for-chinese-semantic","title":"Syntax Aware LSTM Model for Chinese Semantic Role Labeling","date":"2017-04-03","arxiv_id":"1704.00405","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-method-for-in-depth-comparative-evaluation","title":"A method for in-depth comparative evaluation: How (dis)similar are outputs of pos taggers, dependency parsers and coreference resolvers really?","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-rich-morphological-tagger-for-english","title":"A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-joint-lexical-and-syntactic","title":"Benchmarking Joint Lexical and Syntactic Analysis on Multiword-Rich Data","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bilingual-lexicon-induction-by-learning-to","title":"Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-lexical-vector-representations-from","title":"Building Lexical Vector Representations from Concept Definitions","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"creating-pos-tagging-and-dependency-parsing","title":"Creating POS Tagging and Dependency Parsing Experts via Topic Modeling","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-dependency-parsing-for-closely-1","title":"Cross-lingual dependency parsing for closely related languages - Helsinki's submission to VarDial 2017","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"delexicalized-word-embeddings-for-cross","title":"Delexicalized Word Embeddings for Cross-lingual Dependency Parsing","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dont-stop-me-now-using-global-dynamic-oracles","title":"Don't Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"findings-of-the-vardial-evaluation-campaign","title":"Findings of the VarDial Evaluation Campaign 2017","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"imitation-learning-for-structured-prediction","title":"Imitation learning for structured prediction in natural language processing","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-chinese-semantic-role-labeling","title":"Improving Chinese Semantic Role Labeling using High-quality Surface and Deep Case Frames","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"integer-linear-programming-formulations-in","title":"Integer Linear Programming formulations in Natural Language Processing","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"legal-nerc-with-ontologies-wikipedia-and","title":"Legal NERC with ontologies, Wikipedia and curriculum learning","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-training-of-crosslingual-word","title":"Multilingual Training of Crosslingual Word Embeddings","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"slavic-forest-norwegian-wood","title":"Slavic Forest, Norwegian Wood","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ta14bingen-system-in-vardial-2017-shared-task","title":"T\\\"ubingen system in VarDial 2017 shared task: experiments with language identification and cross-lingual parsing","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tdparse-multi-target-specific-sentiment","title":"TDParse: Multi-target-specific sentiment recognition on Twitter","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"uszeged-identifying-verbal-multiword","title":"USzeged: Identifying Verbal Multiword Expressions with POS Tagging and Parsing Techniques","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"word-similarity-datasets-for-indian-languages","title":"Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"syntaxnet-models-for-the-conll-2017-shared","title":"SyntaxNet Models for the CoNLL 2017 Shared Task","date":"2017-03-15","arxiv_id":"1703.04929","repositories_listed":0,"syntology":null},{"url":null,"slug":"metapad-meta-pattern-discovery-from-massive","title":"MetaPAD: Meta Pattern Discovery from Massive Text Corpora","date":"2017-03-13","arxiv_id":"1703.04213","repositories_listed":0,"syntology":null},{"url":null,"slug":"deeply-aggrevated-differentiable-imitation","title":"Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction","date":"2017-03-03","arxiv_id":"1703.01030","repositories_listed":0,"syntology":null},{"url":null,"slug":"lock-free-parallel-perceptron-for-graph-based","title":"Lock-Free Parallel Perceptron for Graph-based Dependency Parsing","date":"2017-03-02","arxiv_id":"1703.00782","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-a-strong-neural-parser-with","title":"Improving a Strong Neural Parser with Conjunction-Specific Features","date":"2017-02-22","arxiv_id":"1702.06733","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-telugu-treebank-based-on-a-grammar-book","title":"A Telugu treebank based on a grammar book","date":"2017-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-universal-dependencies-treebank-for-marathi","title":"A Universal Dependencies Treebank for Marathi","date":"2017-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"annotation-schemes-in-north-sami-dependency","title":"Annotation schemes in North S\\'ami dependency parsing","date":"2017-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dangerous-relations-in-dependency-treebanks","title":"Dangerous Relations in Dependency Treebanks","date":"2017-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"data-point-selection-for-genre-aware-parsing","title":"Data point selection for genre-aware parsing","date":"2017-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"realec-learner-treebank-annotation-principles","title":"REALEC learner treebank: annotation principles and evaluation of automatic parsing","date":"2017-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-dependency-annotated-treebank-for","title":"Towards a dependency-annotated treebank for Bambara","date":"2017-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"what-i-think-when-i-think-about-treebanks","title":"What I think when I think about treebanks","date":"2017-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-house-united-bridging-the-script-and","title":"A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-subtree-based-factorization-of-dependency","title":"A subtree-based factorization of dependency parsing","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-universal-framework-for-inductive-transfer","title":"A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"answer-presentation-in-question-answering","title":"Answer Presentation in Question Answering over Linked Data using Typed Dependency Subtree Patterns","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bccwj-deppara-a-syntactic-annotation-treebank","title":"BCCWJ-DepPara: A Syntactic Annotation Treebank on the `Balanced Corpus of Contemporary Written Japanese'","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"camelparser-a-system-for-arabic-syntactic","title":"CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"chinese-to-japanese-patent-machine-1","title":"Chinese-to-Japanese Patent Machine Translation based on Syntactic Pre-ordering for WAT 2016","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"grammatical-error-detection-based-on-machine","title":"Grammatical Error Detection Based on Machine Learning for Mandarin as Second Language Learning","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-word-embeddings-with-implicit","title":"Improved Word Embeddings with Implicit Structure Information","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-neural-translation-models-with","title":"Improving Neural Translation Models with Linguistic Factors","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incrementally-learning-a-dependency-parser-to","title":"Incrementally Learning a Dependency Parser to Support Language Documentation in Field Linguistics","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"langforia-language-pipelines-for-annotating","title":"Langforia: Language Pipelines for Annotating Large Collections of Documents","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-multilingual-training-for-limited","title":"Leveraging Multilingual Training for Limited Resource Event Extraction","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-line-multilingual-linguistic-services","title":"On-line Multilingual Linguistic Services","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"srdf-extracting-lexical-knowledge-graph-for","title":"SRDF: Extracting Lexical Knowledge Graph for Preserving Sentence Meaning","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-non-projective-high-order-dependency","title":"Towards Non-projective High-Order Dependency Parser","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-resource-dependency-parsing-boosting","title":"Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fill-it-up-exploiting-partial-dependency","title":"Fill it up: Exploiting partial dependency annotations in a minimum spanning tree parser","date":"2016-11-26","arxiv_id":"1611.08765","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-empirical-study-for-vietnamese-dependency","title":"An empirical study for Vietnamese dependency parsing","date":"2016-11-03","arxiv_id":"1611.00995","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-cross-lingual-similarization-of","title":"Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-greedy-inference-for-graph-based","title":"Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-mutual-benefits-between-syntax-and","title":"Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-transition-based-dependency-parsing-and","title":"Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"modified-dirichlet-distribution-allowing","title":"Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-headline-generation-on-abstract","title":"Neural Headline Generation on Abstract Meaning Representation","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-network-for-heterogeneous-annotations","title":"Neural Network for Heterogeneous Annotations","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-shift-reduce-ccg-semantic-parsing","title":"Neural Shift-Reduce CCG Semantic Parsing","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"paccss-it-a-parallel-corpus-of-complex-simple","title":"PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transition-based-dependency-parsing-with-3","title":"Transition-Based Dependency Parsing with Heuristic Backtracking","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"challenges-of-computational-processing-of","title":"Challenges of Computational Processing of Code-Switching","date":"2016-10-07","arxiv_id":"1610.02213","repositories_listed":0,"syntology":null},{"url":null,"slug":"planting-trees-in-the-desert-delexicalized","title":"Planting Trees in the Desert: Delexicalized Tagging and Parsing Combined","date":"2016-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"training-dependency-parsers-with-partial","title":"Training Dependency Parsers with Partial Annotation","date":"2016-09-29","arxiv_id":"1609.09247","repositories_listed":0,"syntology":null},{"url":null,"slug":"discovering-sound-concepts-and-acoustic","title":"Discovering Sound Concepts and Acoustic Relations In Text","date":"2016-09-23","arxiv_id":"1609.07384","repositories_listed":0,"syntology":null},{"url":null,"slug":"good-automatic-authentication-question","title":"Good Automatic Authentication Question Generation","date":"2016-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"demographic-dialectal-variation-in-social","title":"Demographic Dialectal Variation in Social Media: A Case Study of African-American English","date":"2016-08-31","arxiv_id":"1608.08868","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bi-lstm-rnn-model-for-relation","title":"A Bi-LSTM-RNN Model for Relation Classification Using Low-Cost Sequence Features","date":"2016-08-27","arxiv_id":"1608.07720","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-search-based-dynamic-reranking-model-for","title":"A Search-Based Dynamic Reranking Model for Dependency Parsing","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-transition-based-system-for-joint-lexical","title":"A Transition-Based System for Joint Lexical and Syntactic Analysis","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-dependency-parsing-with","title":"Active Learning for Dependency Parsing with Partial Annotation","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-nlp-pipeline-for-coptic","title":"An NLP Pipeline for Coptic","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"annotating-the-little-prince-with-chinese","title":"Annotating the Little Prince with Chinese AMRs","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"conversion-from-paninian-karakas-to-universal","title":"Conversion from Paninian Karakas to Universal Dependencies for Hindi Dependency Treebank","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-language-projection-of-dependency-trees-1","title":"Cross-language Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-image-caption-generation","title":"Cross-Lingual Image Caption Generation","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dependency-parsing-with-bounded-block-degree","title":"Dependency Parsing with Bounded Block Degree and Well-nestedness via Lagrangian Relaxation and Branch-and-Bound","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"different-flavors-of-gum-evaluating-genre-and","title":"Different Flavors of GUM: Evaluating Genre and Sentence Type Effects on Multilayer Corpus Annotation Quality","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dted-evaluation-of-machine-translation","title":"DTED: Evaluation of Machine Translation Structure Using Dependency Parsing and Tree Edit Distance","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-embeddings-using-syntax-based","title":"Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser Performance","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-transition-based-dependency","title":"Generalized Transition-based Dependency Parsing via Control Parameters","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-based-dependency-parsing-with","title":"Graph-based Dependency Parsing with Bidirectional LSTM","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-train-dependency-parsers-with-inexact","title":"How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-dependency-parsing-using-sentence","title":"Improving Dependency Parsing Using Sentence Clause Charts","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-relational-knowledge-into-word","title":"Incorporating Relational Knowledge into Word Representations using Subspace Regularization","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-part-of-speech-and-dependency","title":"Joint part-of-speech and dependency projection from multiple sources","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-word-meta-embeddings","title":"Learning Word Meta-Embeddings","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"abc645861b00ea222b51952f616a77b98b237d11e7f208b0b021e763a6e6f1e9","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}