{"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/information-retrieval/papers/42","list_of":"/task/information-retrieval","task":"Information Retrieval","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":42,"pages_in_order":48,"rows_per_page":100,"rows":[4101,4200],"of":4740,"counts":{"archive_papers_tagged":4740,"with_a_code_link":1188,"where_syntology_ran_a_sample":191,"not_listed_spam_title":0,"listed":4740,"listed_where_code_ran":191,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":151,"every_run_a_failure_of_syntologys_instrument":40,"listed_with_a_run_with_no_instrument_failure":151,"listed_every_run_a_failure_of_syntologys_instrument":40,"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/information-retrieval","prev":"/task/information-retrieval/papers/41","next":"/task/information-retrieval/papers/43","papers":[{"url":null,"slug":"sense-and-similarity-a-study-of-sense-level","title":"Sense and Similarity: A Study of Sense-level Similarity Measures","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"simcompass-using-deep-learning-word","title":"SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-models-for-text-normalization-and","title":"Statistical models for text normalization and machine translation","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tcdscss-dimensionality-reduction-to-evaluate","title":"TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"teamz-measuring-semantic-textual-similarity","title":"TeamZ: Measuring Semantic Textual Similarity for Spanish Using an Overlap-Based Approach","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"thinkminers-disorder-recognition-using","title":"ThinkMiners: Disorder Recognition using Conditional Random Fields and Distributional Semantics","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-robust-framework-for-the-semantic","title":"Towards a robust framework for the semantic representation of temporal expressions in cultural legacy data","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"triple-based-background-knowledge-ranking-for","title":"Triple based Background Knowledge Ranking for Document Enrichment","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-detection-in-hungarian-texts","title":"Uncertainty Detection in Hungarian Texts","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/unsupervised-word-sense-induction-using","slug":"unsupervised-word-sense-induction-using","title":"Unsupervised Word Sense Induction using Distributional Statistics","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"uow-multi-task-learning-gaussian-process-for","title":"UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"what-or-who-is-multilingual-watson","title":"What or Who is Multilingual Watson?","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"wordsyoudontknow-evaluation-of-lexicon-based","title":"Wordsyoudontknow: Evaluation of lexicon-based decompounding with unknown handling","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-rank-functionals-an-empirical-study","title":"Learning Rank Functionals: An Empirical Study","date":"2014-07-23","arxiv_id":"1407.6089","repositories_listed":0,"syntology":null},{"url":null,"slug":"knet-a-general-framework-for-learning-word","title":"KNET: A General Framework for Learning Word Embedding using Morphological Knowledge","date":"2014-07-07","arxiv_id":"1407.1687","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-ranking-measures-for-compact","title":"Optimizing Ranking Measures for Compact Binary Code Learning","date":"2014-07-04","arxiv_id":"1407.1151","repositories_listed":0,"syntology":null},{"url":null,"slug":"distinctions-in-the-formulation-of","title":"Distinctions in the Formulation of Information Needs in Natural Language; Construction of a Task-Based User Profile Database (Expressions diff\\'erenci\\'ees des besoins informationnels en Langue Naturelle : construction de profils utilisateurs en fonction des t\\^aches de recherche d'informations) [in French]","date":"2014-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-neighbor-graph-to-improve","title":"Exploring the neighbor graph to improve distributional thesauri (Explorer le graphe de voisinage pour am\\'eliorer les th\\'esaurus distributionnels) [in French]","date":"2014-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"study-of-the-impact-of-proper-name","title":"Study of the impact of proper name transliteration on the performance of word alignment in French-Arabic parallel corpora (Etude de l'impact de la translitt\\'eration de noms propres sur la qualit\\'e de l'alignement de mots \\`a partir de corpus parall\\`eles fran\\ccais-arabe) [in French]","date":"2014-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-phrase-structure-learning-methods","title":"A survey on phrase structure learning methods for text classification","date":"2014-06-21","arxiv_id":"1406.5598","repositories_listed":0,"syntology":null},{"url":null,"slug":"modelling-visualising-and-summarising","title":"Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network","date":"2014-06-15","arxiv_id":"1406.3830","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-semantic-enhanced-model-for-effective","title":"A Semantic Enhanced Model for effective Spatial Information Retrieval","date":"2014-06-08","arxiv_id":"1406.1969","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-approach-for-text-and","title":"Machine learning approach for text and document mining","date":"2014-06-06","arxiv_id":"1406.1580","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multigraph-representation-for-improved","title":"A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-arabic-named-entity-recognition","title":"A Survey of Arabic Named Entity Recognition and Classification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"abstractive-summarization-of-spoken-and-1","title":"Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"applying-a-naive-bayes-similarity-measure-to","title":"Applying a Naive Bayes Similarity Measure to Word Sense Disambiguation","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-detection-of-cognates-using","title":"Automatic Detection of Cognates Using Orthographic Alignment","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-detection-of-multilingual","title":"Automatic Detection of Multilingual Dictionaries on the Web","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-keyphrase-extraction-a-survey-of","title":"Automatic Keyphrase Extraction: A Survey of the State of the Art","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"back-up-your-stance-recognizing-arguments-in","title":"Back up your Stance: Recognizing Arguments in Online Discussions","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bilingual-event-extraction-a-case-study-on","title":"Bilingual Event Extraction: a Case Study on Trigger Type Determination","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"character-level-chinese-dependency-parsing","title":"Character-Level Chinese Dependency Parsing","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"collective-matrix-factorization-hashing-for","title":"Collective Matrix Factorization Hashing for Multimodal Data","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dkpro-keyphrases-flexible-and-reusable","title":"DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-morphological-grammatical-and","title":"Exploiting Morphological, Grammatical, and Semantic Correlates for Improved Text Difficulty Assessment","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fact-checking-task-definition-and-dataset","title":"Fact Checking: Task definition and dataset construction","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/findings-of-the-2014-workshop-on-statistical","slug":"findings-of-the-2014-workshop-on-statistical","title":"Findings of the 2014 Workshop on Statistical Machine Translation","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-ranking-for-collective-named-entity","title":"Graph Ranking for Collective Named Entity Disambiguation","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hippocratic-abbreviation-expansion","title":"Hippocratic Abbreviation Expansion","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"how-much-do-word-embeddings-encode-about","title":"How much do word embeddings encode about syntax?","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-citation-polarity-classification","title":"Improving Citation Polarity Classification with Product Reviews","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"information-extraction-over-structured-data","title":"Information Extraction over Structured Data: Question Answering with Freebase","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-grounded-meaning-representations","title":"Learning Grounded Meaning Representations with Autoencoders","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-new-semi-supervised-deep-auto","title":"Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-semantic-hierarchies-via-word","title":"Learning Semantic Hierarchies via Word Embeddings","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-re-rank-for-interactive-problem","title":"Learning to Re-rank for Interactive Problem Resolution and Query Refinement","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/learning-translational-and-knowledge-based","slug":"learning-translational-and-knowledge-based","title":"Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"looking-for-hyponyms-in-vector-space","title":"Looking for Hyponyms in Vector Space","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"low-resource-semantic-role-labeling","title":"Low-Resource Semantic Role Labeling","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-translation-of-medical-texts-in-the","title":"Machine Translation of Medical Texts in the Khresmoi Project","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"manawi-using-multi-word-expressions-and-named","title":"Manawi: Using Multi-Word Expressions and Named Entities to Improve Machine Translation","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-distance-between-unordered-sets-of","title":"Measuring Distance Between Unordered Sets of Different Sizes","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"online-learning-in-tensor-space","title":"Online Learning in Tensor Space","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"opinion-mining-and-topic-categorization-with","title":"Opinion Mining and Topic Categorization with Novel Term Weighting","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"polylingual-tree-based-topic-models-for","title":"Polylingual Tree-Based Topic Models for Translation Domain Adaptation","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"postechs-system-description-for-medical-text","title":"Postech's System Description for Medical Text Translation Task","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-relevance-of-distributional","title":"Predicting the relevance of distributional semantic similarity with contextual information","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-domain-adaptation-for-relation","title":"Robust Domain Adaptation for Relation Extraction via Clustering Consistency","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantics-for-large-scale-multimedia-new","title":"Semantics for Large-Scale Multimedia: New Challenges for NLP","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"syntactic-processing-using-global","title":"Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-creation-of-a-corpus-for","title":"Towards Creation of a Corpus for Argumentation Mining the Biomedical Genetics Research Literature","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stage-hashing-for-fast-document-retrieval","title":"Two-Stage Hashing for Fast Document Retrieval","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-feature-learning-for-visual-sign","title":"Unsupervised Feature Learning for Visual Sign Language Identification","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vector-space-semantics-with-frequency-driven","title":"Vector space semantics with frequency-driven motifs","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-of-networks-of-natural-hierarchies","title":"Building of Networks of Natural Hierarchies of Terms Based on Analysis of Texts Corpora","date":"2014-05-23","arxiv_id":"1405.6068","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-exploit-different-translation","title":"Learning to Exploit Different Translation Resources for Cross Language Information Retrieval","date":"2014-05-20","arxiv_id":"1405.5447","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cascade-approach-for-complex-type","title":"A cascade approach for complex-type classification","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-character-based-approach-to-distributional","title":"A Character-based Approach to Distributional Semantic Models: Exploiting Kanji Characters for Constructing JapaneseWord Vectors","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-collection-of-scholarly-book-reviews-from","title":"A Collection of Scholarly Book Reviews from the Platforms of electronic sources in Humanities and Social Sciences OpenEdition.org","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-public-health-surveillance","title":"A Framework for Public Health Surveillance","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-gold-standard-for-clir-evaluation-in-the","title":"A Gold Standard for CLIR evaluation in the Organic Agriculture Domain","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hierarchical-taxonomy-for-classifying","title":"A hierarchical taxonomy for classifying hardness of inference tasks","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-lda-based-topic-classification-approach","title":"A LDA-Based Topic Classification Approach From Highly Imperfect Automatic Transcriptions","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-iterative-approach-for-mining-parallel","title":"An Iterative Approach for Mining Parallel Sentences in a Comparable Corpus","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ancor_centre-a-large-free-spoken-french","title":"ANCOR\\_Centre, a large free spoken French coreference corpus: description of the resource and reliability measures","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"annotation-of-computer-science-papers-for","title":"Annotation of Computer Science Papers for Semantic Relation Extrac-tion","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"aranlp-a-java-based-library-for-the","title":"AraNLP: a Java-based Library for the Processing of Arabic Text.","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-creation-of-wordnets-from-parallel","title":"Automatic creation of WordNets from parallel corpora","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"biographynet-methodological-issues-when-nlp","title":"BiographyNet: Methodological Issues when NLP supports historical research","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bootstrapping-term-extractors-for-multiple","title":"Bootstrapping Term Extractors for Multiple Languages","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-a-crisis-management-term-resource","title":"Building a Crisis Management Term Resource for Social Media: The Case of Floods and Protests","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-a-dataset-of-multilingual-cognates","title":"Building a Dataset of Multilingual Cognates for the Romanian Lexicon","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"clinical-data-driven-probabilistic-graph","title":"Clinical Data-Driven Probabilistic Graph Processing","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"co-clustering-of-bilingual-datasets-as-a-mean","title":"Co-clustering of bilingual datasets as a mean for assisting the construction of thematic bilingual comparable corpora","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"co-training-for-classification-of-live-or","title":"Co-Training for Classification of Live or Studio Music Recordings","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-dependency-information-and","title":"Combining dependency information and generalization in a pattern-based approach to the classification of lexical-semantic relation instances","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"comparative-analysis-of-portuguese-named","title":"Comparative Analysis of Portuguese Named Entities Recognition Tools","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-two-acquisition-systems-for","title":"Comparing two acquisition systems for automatically building an English---Croatian parallel corpus from multilingual websites","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"constructing-a-corpus-of-japanese-predicate","title":"Constructing a Corpus of Japanese Predicate Phrases for Synonym/Antonym Relations","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"construction-and-annotation-of-a-french","title":"Construction and Annotation of a French Folkstale Corpus","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"creating-a-gold-standard-corpus-for-the","title":"Creating a Gold Standard Corpus for the Extraction of Chemistry-Disease Relations from Patent Texts","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-language-authorship-attribution","title":"Cross-Language Authorship Attribution","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-components-in-the-structure-of-wordnet","title":"Dense Components in the Structure of WordNet","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"designing-and-evaluating-a-reliable-corpus-of","title":"Designing and Evaluating a Reliable Corpus of Web Genres via Crowd-Sourcing","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-reuse-of-structured-and","title":"Efficient Reuse of Structured and Unstructured Resources for Ontology Population","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"enrichment-of-bilingual-dictionary-through","title":"Enrichment of Bilingual Dictionary through News Stream Data","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-web-as-corpus-topical-document","title":"Evaluating Web-as-corpus Topical Document Retrieval with an Index of the OpenDirectory","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-utility-of-coreference-chains","title":"Exploring the utility of coreference chains for improved identification of personal names","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"extracting-news-web-page-creation-time-with","title":"Extracting News Web Page Creation Time with DCTFinder","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"fc6e7a54ce073e4a7afd73f6f74b30914afa1e6a806fc86ef61f19e0c83a141f","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}