{"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/44","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":44,"pages_in_order":48,"rows_per_page":100,"rows":[4301,4400],"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/43","next":"/task/information-retrieval/papers/45","papers":[{"url":null,"slug":"appropriately-incorporating-statistical","title":"Appropriately Incorporating Statistical Significance in PMI","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-knowledge-acquisition-for-case","title":"Automatic Knowledge Acquisition for Case Alternation between the Passive and Active Voices in Japanese","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-music-mood-classification-of-hindi","title":"Automatic Music Mood Classification of Hindi Songs","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/boosting-cross-language-retrieval-by-learning","slug":"boosting-cross-language-retrieval-by-learning","title":"Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-chinese-event-type-paradigm-based-on","title":"Building Chinese Event Type Paradigm Based on Trigger Clustering","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-specialized-bilingual-lexicons-using-1","title":"Building Specialized Bilingual Lexicons Using Large Scale Background Knowledge","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-the-chinese-open-wordnet-cow","title":"Building the Chinese Open Wordnet (COW): Starting from Core Synsets","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"centering-similarity-measures-to-reduce-hubs","title":"Centering Similarity Measures to Reduce Hubs","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dependency-parsing-for-identifying-hungarian","title":"Dependency Parsing for Identifying Hungarian Light Verb Constructions","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"designing-a-generic-scheme-for-etymological","title":"Designing a Generic Scheme for Etymological Annotation: a New Type of Language Corpora Annotation","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"developing-ml-based-systems-to-extract","title":"Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dira-dialectal-arabic-information-retrieval","title":"DIRA: Dialectal Arabic Information Retrieval Assistant","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"event-based-time-label-propagation-for","title":"Event-Based Time Label Propagation for Automatic Dating of News Articles","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"event-centered-information-retrieval-using","title":"Event-Centered Information Retrieval Using Kernels on Event Graphs","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-multiple-sources-for-open-domain","title":"Exploiting Multiple Sources for Open-Domain Hypernym Discovery","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-abbreviation-prediction-with","title":"Generalized Abbreviation Prediction with Negative Full Forms and Its Application on Improving Chinese Web Search","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-phrasal-verbs-using-many","title":"Identifying Phrasal Verbs Using Many Bilingual Corpora","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-calculation-of-contextual","title":"Improving Calculation of Contextual Similarity for Constructing a Bilingual Dictionary via a Third Language","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-pivot-based-statistical-machine","title":"Improving Pivot-Based Statistical Machine Translation Using Random Walk","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-web-search-ranking-by-incorporating","title":"Improving Web Search Ranking by Incorporating Structured Annotation of Queries","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"information-mining-from-islamic-scriptures","title":"Information Mining from Islamic Scriptures","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"interest-analysis-using-pagerank-and-social","title":"Interest Analysis using PageRank and Social Interaction Content","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"japanese-zero-reference-resolution","title":"Japanese Zero Reference Resolution Considering Exophora and Author/Reader Mentions","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lexical-chain-based-cohesion-models-for","title":"Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"merging-word-senses","title":"Merging Word Senses","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"microblog-entity-linking-by-leveraging-extra","title":"Microblog Entity Linking by Leveraging Extra Posts","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mining-the-gaps-towards-polynomial","title":"Mining the Gaps: Towards Polynomial Summarization","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-comparable-corpora-as-resources","title":"Multimodal Comparable Corpora as Resources for Extracting Parallel Data: Parallel Phrases Extraction","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"precise-information-retrieval-exploiting","title":"Precise Information Retrieval Exploiting Predicate-Argument Structures","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"prior-disambiguation-of-word-tensors-for","title":"Prior Disambiguation of Word Tensors for Constructing Sentence Vectors","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"response-generation-based-on-hierarchical","title":"Response Generation Based on Hierarchical Semantic Structure with POMDP Re-ranking for Conversational Dialogue Systems","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-naive-bayes-classifier-for-document","title":"Semantic Na\\\"\\ive Bayes Classifier for Document Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-vs-positions-utilizing-balanced","title":"Semantic v.s. Positions: Utilizing Balanced Proximity in Language Model Smoothing for Information Retrieval","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-classification-of-twitter","title":"Semi-supervised Classification of Twitter Messages for Organization Name Disambiguation","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-stemming-for-kannada","title":"Statistical Stemming for Kannada","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"structure-cognizant-pseudo-relevance-feedback","title":"Structure Cognizant Pseudo Relevance Feedback","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"structured-penalties-for-log-linear-language","title":"Structured Penalties for Log-Linear Language Models","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"topical-key-concept-extraction-from","title":"Topical Key Concept Extraction from Folksonomy","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"topicrank-graph-based-topic-ranking-for","title":"TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"uncovering-distributional-differences-between","title":"Uncovering Distributional Differences between Synonyms and Antonyms in a Word Space Model","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-induction-of-cross-lingual","title":"Unsupervised Induction of Cross-Lingual Semantic Relations","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-relation-extraction-with-general","title":"Unsupervised Relation Extraction with General Domain Knowledge","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-transliteration-of-proper-names-from","title":"Using Transliteration of Proper Names from Arabic to Latin Script to Improve English-Arabic Word Alignment","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"who-had-the-upper-hand-ranking-participants","title":"Who Had the Upper Hand? Ranking Participants of Interactions Based on Their Relative Power","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"wordtopic-multirank-a-new-method-for","title":"WordTopic-MultiRank: A New Method for Automatic Keyphrase Extraction","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-combined-pattern-based-and-distributional","title":"A Combined Pattern-based and Distributional Approach for Automatic Hypernym Detection in Dutch.","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dictionary-based-approach-for-evaluating","title":"A Dictionary-Based Approach for Evaluating Orthographic Methods in Cognates Identification","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"answering-questions-from-multiple-documents","title":"Answering Questions from Multiple Documents -- the Role of Multi-Document Summarization","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-evaluation-of-summary-using-textual","title":"Automatic Evaluation of Summary Using Textual Entailment","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-adapting-and-reusing-bi-texts","title":"Combining, Adapting and Reusing Bi-texts between Related Languages: Application to Statistical Machine Translation (invited talk)","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-information-retrieval-and","title":"Cross-Lingual Information Retrieval and Semantic Interoperability for Cultural Heritage Repositories","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"edit-distance-a-new-data-selection-criterion","title":"Edit Distance: A New Data Selection Criterion for Domain Adaptation in SMT","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-baseline-information-retrieval","title":"Evaluation of baseline information retrieval for Polish open-domain Question Answering system","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-inference-role-in-automatic","title":"Exploring the inference role in automatic information extraction from texts","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"finding-negative-symptoms-of-schizophrenia-in","title":"Finding Negative Symptoms of Schizophrenia in Patient Records","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"korean-word-sense-disambiguation-using","title":"Korean Word-Sense Disambiguation Using Parallel Corpus as Additional Resource","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"language-diversity-and-implications-for","title":"Language diversity and implications for Language technology in the Multilingual Europe","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-closure-properties-of-patent","title":"Measuring Closure Properties of Patent Sublanguages","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mixing-in-some-knowledge-enriched-context","title":"Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-document-summarization-using-automatic","title":"Multi-Document Summarization using Automatic Key-Phrase Extraction","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"named-entity-recognition-in-broadcast-news","title":"Named Entity Recognition in Broadcast News Using Similar Written Texts","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rule-based-named-entity-extraction-for","title":"Rule-based Named Entity Extraction For Ontology Population","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"text-segmentation-for-language-identification","title":"Text segmentation for Language Identification in Greek Forums","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-mysterious-letter-j","title":"The Mysterious Letter J","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-hybrid-rule-based-and-statistical","title":"Towards a Hybrid Rule-based and Statistical Arabic-French Machine Translation System","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-the-automatic-classification-of","title":"Towards the automatic classification of complex-type nominals","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-learning-of-a-morphous","title":"Unsupervised Learning of A-Morphous Inflection with Graph Clustering","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-a-weighted-semantic-network-for-lexical","title":"Using a Weighted Semantic Network for Lexical Semantic Relatedness","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-parallel-corpora-for-word-sense","title":"Using Parallel Corpora for Word Sense Disambiguation","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"computing-lexical-contrast","title":"Computing Lexical Contrast","date":"2013-08-28","arxiv_id":"1308.6300","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-lovasz-bregman-divergence-and-connections","title":"The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking","date":"2013-08-24","arxiv_id":"1308.5275","repositories_listed":0,"syntology":null},{"url":null,"slug":"coding-for-random-projections","title":"Coding for Random Projections","date":"2013-08-09","arxiv_id":"1308.2218","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparison-of-smoothing-techniques-for","title":"A Comparison of Smoothing Techniques for Bilingual Lexicon Extraction from Comparable Corpora","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-pilot-study-of-readability-prediction-with","title":"A Pilot Study of Readability Prediction with Reading Time","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-semi-supervised-approach-for-natural","title":"A Semi-supervised Approach for Natural Language Call Routing","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-structured-distributional-semantic-model","title":"A Structured Distributional Semantic Model for Event Co-reference","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-structured-distributional-semantic-model-1","title":"A Structured Distributional Semantic Model : Integrating Structure with Semantics","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"aggregating-continuous-word-embeddings-for","title":"Aggregating Continuous Word Embeddings for Information Retrieval","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"align-disambiguate-and-walk-a-unified","title":"Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"are-semantically-coherent-topic-models-useful","title":"Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-coupling-of-answer-extraction-and","title":"Automatic Coupling of Answer Extraction and Information Retrieval","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bacteria-biotope-detection-ontology-based","title":"Bacteria Biotope Detection, Ontology-based Normalization, and Relation Extraction using Syntactic Rules","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bilingual-lexicon-extraction-via-pivot","title":"Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"biomedical-event-extraction-by-multi-class","title":"Biomedical Event Extraction by Multi-class Classification of Pairs of Text Entities","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-comparable-corpora-based-on","title":"Building Comparable Corpora Based on Bilingual LDA Model","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"categorization-of-turkish-news-documents-with","title":"Categorization of Turkish News Documents with Morphological Analysis","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"derivational-smoothing-for-syntactic","title":"Derivational Smoothing for Syntactic Distributional Semantics","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"determining-compositionality-of-expresssions","title":"Determining Compositionality of Expresssions Using Various Word Space Models and Methods","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"developing-parallel-sense-tagged-corpora-with","title":"Developing Parallel Sense-tagged Corpora with Wordnets","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"discriminative-learning-with-natural","title":"Discriminative Learning with Natural Annotations: Word Segmentation as a Case Study","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"english-to-russian-mt-evaluation-campaign","title":"English-to-Russian MT evaluation campaign","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-sentiment-analysis-systems-in","title":"Evaluating Sentiment Analysis Systems in Russian","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-text-segmentation-using-boundary","title":"Evaluating Text Segmentation using Boundary Edit Distance","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":"feature-based-selection-of-dependency-paths","title":"Feature-Based Selection of Dependency Paths in Ad Hoc Information Retrieval","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"filling-knowledge-base-gaps-for-distant","title":"Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"finding-more-bilingual-webpages-with-high","title":"Finding More Bilingual Webpages with High Credibility via Link Analysis","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"grammars-and-topic-models","title":"Grammars and Topic Models","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"heady-news-headline-abstraction-through-event","title":"HEADY: News headline abstraction through event pattern clustering","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-quality-training-data-selection-using","title":"High-quality Training Data Selection using Latent Topics for Graph-based Semi-supervised Learning","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"0a42a315632b1d6515e40bba5f1ef88302c0d08d5e35102ad13818a200741bfd","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}