{"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/word-embeddings/papers/22","list_of":"/task/word-embeddings","task":"Word Embeddings","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":22,"pages_in_order":41,"rows_per_page":100,"rows":[2101,2200],"of":4002,"counts":{"archive_papers_tagged":4002,"with_a_code_link":1177,"where_syntology_ran_a_sample":155,"not_listed_spam_title":0,"listed":4002,"listed_where_code_ran":155,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":122,"every_run_a_failure_of_syntologys_instrument":33,"listed_with_a_run_with_no_instrument_failure":122,"listed_every_run_a_failure_of_syntologys_instrument":33,"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/word-embeddings","prev":"/task/word-embeddings/papers/21","next":"/task/word-embeddings/papers/23","papers":[{"url":null,"slug":"neural-dinf-a-neural-network-based-framework","title":"Neural-DINF: A Neural Network based Framework for Measuring Document Influence","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-metaphor-detection-with-a-residual","title":"Neural Metaphor Detection with a Residual biLSTM-CRF Model","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"non-linear-instance-based-cross-lingual","title":"Non-Linear Instance-Based Cross-Lingual Mapping for Non-Isomorphic Embedding Spaces","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-degrees-of-technicality-in","title":"Predicting Degrees of Technicality in Automatic Terminology Extraction","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-60-years-of-gender-bias-in","title":"Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"token-level-identification-of-multiword","title":"Token Level Identification of Multiword Expressions Using Contextual Information","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/transition-based-semantic-dependency-parsing-1","slug":"transition-based-semantic-dependency-parsing-1","title":"Transition-based Semantic Dependency Parsing with Pointer Networks","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"word-embeddings-as-tuples-of-feature","title":"Word Embeddings as Tuples of Feature Probabilities","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-understanding-of-word-embeddings","title":"Supervised Understanding of Word Embeddings","date":"2020-06-23","arxiv_id":"2006.13299","repositories_listed":0,"syntology":null},{"url":null,"slug":"dirichlet-smoothed-word-embeddings-for-low-1","title":"Dirichlet-Smoothed Word Embeddings for Low-Resource Settings","date":"2020-06-22","arxiv_id":"2006.12414","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-company-specific-headlines-and","title":"Using Company Specific Headlines and Convolutional Neural Networks to Predict Stock Fluctuations","date":"2020-06-22","arxiv_id":"2006.12426","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-aligned-embeddings-for-semi","title":"Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy","date":"2020-06-20","arxiv_id":"2006.11578","repositories_listed":0,"syntology":null},{"url":null,"slug":"mdr-cluster-debias-a-nonlinear-wordembedding","title":"MDR Cluster-Debias: A Nonlinear WordEmbedding Debiasing Pipeline","date":"2020-06-20","arxiv_id":"2006.11642","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-learnability-of-concepts-with","title":"On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms","date":"2020-06-17","arxiv_id":"2006.09896","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-a-multi-sense-definition","title":"Evaluating a Multi-sense Definition Generation Model for Multiple Languages","date":"2020-06-12","arxiv_id":"2006.07398","repositories_listed":0,"syntology":null},{"url":"/paper/a-monolingual-approach-to-contextualized-word","slug":"a-monolingual-approach-to-contextualized-word","title":"A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages","date":"2020-06-11","arxiv_id":"2006.06202","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-improves-concentration-when","title":"Attention improves concentration when learning node embeddings","date":"2020-06-11","arxiv_id":"2006.06834","repositories_listed":0,"syntology":null},{"url":null,"slug":"gangster-a-fraud-review-detector-based-on","title":"ScoreGAN: A Fraud Review Detector based on Multi Task Learning of Regulated GAN with Data Augmentation","date":"2020-06-11","arxiv_id":"2006.06561","repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-word-embeddings-and-convolutional","title":"Combining word embeddings and convolutional neural networks to detect duplicated questions","date":"2020-06-08","arxiv_id":"2006.04513","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-class-labels-to-boost-performance","title":"Exploiting Class Labels to Boost Performance on Embedding-based Text Classification","date":"2020-06-03","arxiv_id":"2006.02104","repositories_listed":0,"syntology":null},{"url":null,"slug":"apprentissage-de-plongements-de-mots-sur-des","title":"Apprentissage de plongements de mots sur des corpus en langue de sp\\'ecialit\\'e : une \\'etude d'impact (Learning word embeddings on domain specific corpora : an impact study )","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/bert-based-ensembles-for-modeling-disclosure","slug":"bert-based-ensembles-for-modeling-disclosure","title":"BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text","date":"2020-06-01","arxiv_id":"2006.01222","repositories_listed":0,"syntology":null},{"url":null,"slug":"du-bon-usage-d-ingr-edients-linguistiques-sp","title":"Du bon usage d'ingr\\'edients linguistiques sp\\'eciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes )","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"etude-sur-le-r-esum-e-comparatif-gr-ace-aux","title":"\\'Etude sur le r\\'esum\\'e comparatif gr\\^ace aux plongements de mots (Comparative summarization study using word embeddings)","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fair-is-better-than-sensational-man-is-to","title":"Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-improved-document-level-embedding-hide","title":"Hybrid Improved Document-level Embedding (HIDE)","date":"2020-06-01","arxiv_id":"2006.01203","repositories_listed":0,"syntology":null},{"url":null,"slug":"r-epliquer-et-etendre-pour-l-alsacien","title":"R\\'epliquer et \\'etendre pour l'alsacien ``\\'Etiquetage en parties du discours de langues peu dot\\'ees par sp\\'ecialisation des plongements lexicaux'' (Replicating and extending for Alsatian : ``POS tagging for low-resource languages by adapting word embeddings'')","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-word-translation-with","title":"Unsupervised Word Translation with Adversarial Autoencoder","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"word-sense-distance-in-human-similarity","title":"Word Sense Distance in Human Similarity Judgements and Contextualised Word Embeddings","date":"2020-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"data-augmentation-for-learning-bilingual-word","title":"Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings","date":"2020-05-30","arxiv_id":"2006.00262","repositories_listed":0,"syntology":null},{"url":null,"slug":"time-text-and-image-mutual-translation","title":"TIME: Text and Image Mutual-Translation Adversarial Networks","date":"2020-05-27","arxiv_id":"2005.13192","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-of-neural-matching-models-for-cross","title":"A Study of Neural Matching Models for Cross-lingual IR","date":"2020-05-26","arxiv_id":"2005.12994","repositories_listed":0,"syntology":null},{"url":null,"slug":"acoustic-word-embedding-system-for-code","title":"Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection","date":"2020-05-24","arxiv_id":"2005.11777","repositories_listed":0,"syntology":null},{"url":null,"slug":"gm-ctsc-at-semeval-2020-task-1-gaussian","title":"GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering","date":"2020-05-20","arxiv_id":"2005.09946","repositories_listed":0,"syntology":null},{"url":null,"slug":"embeddings-as-representation-for-symbolic","title":"Embeddings as representation for symbolic music","date":"2020-05-19","arxiv_id":"2005.09406","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-embeddings-when-are-they-worth-it","title":"Contextual Embeddings: When Are They Worth It?","date":"2020-05-18","arxiv_id":"2005.09117","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-classification-with-few-examples-using-1","title":"Text Classification with Few Examples using Controlled Generalization","date":"2020-05-18","arxiv_id":"2005.08469","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-probabilistic-sentence","title":"Learning Probabilistic Sentence Representations from Paraphrases","date":"2020-05-16","arxiv_id":"2005.08105","repositories_listed":0,"syntology":null},{"url":null,"slug":"rpd-a-distance-function-between-word","title":"RPD: A Distance Function Between Word Embeddings","date":"2020-05-16","arxiv_id":"2005.08113","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-classification-parity-across-cohorts","title":"Towards classification parity across cohorts","date":"2020-05-16","arxiv_id":"2005.08033","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-transfer-of-twitter-sentiment","title":"Cross-lingual Transfer of Sentiment Classifiers","date":"2020-05-15","arxiv_id":"2005.07456","repositories_listed":0,"syntology":null},{"url":null,"slug":"article-citation-study-context-enhanced","title":"Article citation study: Context enhanced citation sentiment detection","date":"2020-05-10","arxiv_id":"2005.04534","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-symbolic-relational-reasoning-on-graph","title":"Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases","date":"2020-05-05","arxiv_id":"2005.02525","repositories_listed":0,"syntology":null},{"url":"/paper/spying-on-your-neighbors-fine-grained-probing","slug":"spying-on-your-neighbors-fine-grained-probing","title":"Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words","date":"2020-05-04","arxiv_id":"2005.01810","repositories_listed":0,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/spying-on-your-neighbors-fine-grained-probing#ran","syntology_url":"https://syntology.ai/paper/2005.01810","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2005.01810"}},"official":null}},{"url":null,"slug":"visual-question-answering-with-prior-class","title":"Visual Question Answering with Prior Class Semantics","date":"2020-05-04","arxiv_id":"2005.01239","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-aspect-level-sentiment-analysis","title":"Improving Aspect-Level Sentiment Analysis with Aspect Extraction","date":"2020-05-03","arxiv_id":"2005.06607","repositories_listed":0,"syntology":null},{"url":null,"slug":"probing-the-probing-paradigm-does-probing","title":"Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?","date":"2020-05-02","arxiv_id":"2005.00719","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-closer-look-on-unsupervised-cross-lingual","title":"A Closer Look on Unsupervised Cross-lingual Word Embeddings Mapping","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-gradient-boosting-seq2seq-system-for-latin","title":"A Gradient Boosting-Seq2Seq System for Latin POS Tagging and Lemmatization","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-passage-to-india-pre-trained-word","title":"``A Passage to India'': Pre-trained Word Embeddings for Indian Languages","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"abusive-language-in-spanish-children-and","title":"Abusive language in Spanish children and young teenager's conversations: data preparation and short text classification with contextual word embeddings","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"all-that-glitters-is-not-gold-a-gold-standard","title":"All That Glitters is Not Gold: A Gold Standard of Adjective-Noun Collocations for German","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-word-embedding-through-structural","title":"Analyzing Word Embedding Through Structural Equation Modeling","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"are-word-embeddings-really-a-bad-fit-for-the","title":"Are Word Embeddings Really a Bad Fit for the Estimation of Thematic Fit?","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"augmenting-small-data-to-classify","title":"Augmenting Small Data to Classify Contextualized Dialogue Acts for Exploratory Visualization","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-discovery-of-mathematical","title":"Automated Discovery of Mathematical Definitions in Text","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-creation-of-correspondence-table-of","title":"Automatic Creation of Correspondence Table of Meaning Tags from Two Dictionaries in One Language Using Bilingual Word Embedding","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-term-extraction-from-newspaper","title":"Automatic Term Extraction from Newspaper Corpora: Making the Most of Specificity and Common Features","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatically-building-a-multilingual-lexicon","title":"Automatically Building a Multilingual Lexicon of False Friends With No Supervision","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bucc2020-bilingual-dictionary-induction-using","title":"BUCC2020: Bilingual Dictionary Induction using Cross-lingual Embedding","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-semantic-grams-of-human-knowledge","title":"Building Semantic Grams of Human Knowledge","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-sense-representations-in-danish-by","title":"Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"clfd-a-novel-vectorization-technique-and-its","title":"CLFD: A Novel Vectorization Technique and Its Application in Fake News Detection","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-character-and-word-embeddings-for","title":"Combining Character and Word Embeddings for the Detection of Offensive Language in Arabic","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"czech-historical-named-entity-corpus-v-1-0","title":"Czech Historical Named Entity Corpus v 1.0","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deduplication-of-scholarly-documents-using","title":"Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dependency-parsing-for-urdu-resources","title":"Dependency Parsing for Urdu: Resources, Conversions and Learning","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"development-of-a-japanese-personality","title":"Development of a Japanese Personality Dictionary based on Psychological Methods","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"distributional-semantics-for-neo-latin","title":"Distributional Semantics for Neo-Latin","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"does-history-matter-using-narrative-context","title":"Does History Matter? Using Narrative Context to Predict the Trajectory of Sentence Sentiment","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"embedding-space-correlation-as-a-measure-of","title":"Embedding Space Correlation as a Measure of Domain Similarity","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"embeddings-for-named-entity-recognition-in","title":"Embeddings for Named Entity Recognition in Geoscience Portuguese Literature","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"englawi-from-human-to-machine-readable","title":"ENGLAWI: From Human- to Machine-Readable Wiktionary","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"english-wordnet-random-walk-pseudo-corpora","title":"English WordNet Random Walk Pseudo-Corpora","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"estimating-user-communication-styles-for","title":"Estimating User Communication Styles for Spoken Dialogue Systems","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-sub-word-embeddings-in-cross","title":"Evaluating Sub-word Embeddings in Cross-lingual Models","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-the-impact-of-sub-word-information","title":"Evaluating the Impact of Sub-word Information and Cross-lingual Word Embeddings on Mi'kmaq Language Modelling","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-word-embeddings-for-indonesian","title":"Evaluating Word Embeddings for Indonesian--English Code-Mixed Text Based on Synthetic Data","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-bilingual-word-embeddings-for","title":"Exploring Bilingual Word Embeddings for Hiligaynon, a Low-Resource Language","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"extrapolating-binder-style-word-embeddings-to","title":"Extrapolating Binder Style Word Embeddings to New Words","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"facilitating-corpus-usage-making-icelandic","title":"Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"figure-me-out-a-gold-standard-dataset-for","title":"Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"florunito-trac-2-retrofitting-word-embeddings","title":"FlorUniTo@TRAC-2: Retrofitting Word Embeddings on an Abusive Lexicon for Aggressive Language Detection","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fraque-a-frame-based-question-answering","title":"FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"french-contextualized-word-embeddings-with-a","title":"French Contextualized Word-Embeddings with a sip of CaBeRnet: a New French Balanced Reference Corpus","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"from-zero-to-hero-on-the-limitations-of-zero","title":"From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers","date":"2020-05-01","arxiv_id":"2005.00633","repositories_listed":0,"syntology":null},{"url":null,"slug":"geographically-balanced-gigaword-corpora-for","title":"Geographically-Balanced Gigaword Corpora for 50 Language Varieties","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-exploration-and-cross-lingual-word","title":"Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"habibi-a-multi-dialect-multi-national-arabic","title":"Habibi - a multi Dialect multi National Arabic Song Lyrics Corpus","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"identification-of-indigenous-knowledge","title":"Identification of Indigenous Knowledge Concepts through Semantic Networks, Spelling Tools and Word Embeddings","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-cognates-in-english-dutch-and","title":"Identifying Cognates in English-Dutch and French-Dutch by means of Orthographic Information and Cross-lingual Word Embeddings","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"legal-es-a-set-of-large-scale-resources-for","title":"Legal-ES: A Set of Large Scale Resources for Spanish Legal Text Processing","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lexicon-enhancement-of-embedding-based","title":"Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"line-a-line-a-tool-for-annotating-word","title":"Line-a-line: A Tool for Annotating Word-Alignments","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lmu-bilingual-dictionary-induction-system","title":"LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"massive-vs-curated-embeddings-for-low","title":"Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of Yor\\`ub\\'a and Twi","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mining-semantic-relations-from-comparable","title":"Mining Semantic Relations from Comparable Corpora through Intersections of Word Embeddings","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"morphological-disambiguation-of-south-s-ami","title":"Morphological Disambiguation of South S\\'ami with FSTs and Neural Networks","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"morphology-rich-alphasyllabary-embeddings","title":"Morphology-rich Alphasyllabary Embeddings","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-lingual-mathematical-word-problem","title":"Multi-lingual Mathematical Word Problem Generation using Long Short Term Memory Networks with Enhanced Input Features","date":"2020-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"02aefcc1e92ab156e342fafdece335de1d80742ccf4101b751a760c610d0a630","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}