{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/semantic-similarity/papers/10","list_of":"/task/semantic-similarity","task":"Semantic Similarity","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":10,"pages_in_order":16,"rows_per_page":100,"rows":[901,1000],"of":1564,"counts":{"archive_papers_tagged":1564,"with_a_code_link":534,"where_syntology_ran_a_sample":102,"not_listed_spam_title":0,"listed":1564,"listed_where_code_ran":102,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":85,"every_run_a_failure_of_syntologys_instrument":17,"listed_with_a_run_with_no_instrument_failure":85,"listed_every_run_a_failure_of_syntologys_instrument":17,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/semantic-similarity","prev":"/task/semantic-similarity/papers/9","next":"/task/semantic-similarity/papers/11","papers":[{"url":null,"slug":"sentiment-classification-of-code-switched","title":"Sentiment Classification of Code-Switched Text using Pre-trained Multilingual Embeddings and Segmentation","date":"2022-10-29","arxiv_id":"2210.16461","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-text-matching-for-automated","title":"Zero-Shot Text Matching for Automated Auditing using Sentence Transformers","date":"2022-10-28","arxiv_id":"2211.07716","repositories_listed":0,"syntology":null},{"url":null,"slug":"seq2seq-sc-end-to-end-semantic-communication","title":"Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model","date":"2022-10-27","arxiv_id":"2210.15237","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-practical-method-for-occupational-skills","title":"A practical method for occupational skills detection in Vietnamese job listings","date":"2022-10-26","arxiv_id":"2210.14607","repositories_listed":0,"syntology":null},{"url":null,"slug":"reusing-keywords-for-fine-grained","title":"Multi-view Semantic Matching of Question retrieval using Fine-grained Semantic Representations","date":"2022-10-21","arxiv_id":"2210.11806","repositories_listed":0,"syntology":null},{"url":null,"slug":"like-a-bilingual-baby-the-advantage-of","title":"Like a bilingual baby: The advantage of visually grounding a bilingual language model","date":"2022-10-11","arxiv_id":"2210.05487","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-embed-semantic-similarity-for","title":"Learning to embed semantic similarity for joint image-text retrieval","date":"2022-10-07","arxiv_id":"2210.03838","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-fine-grained-semantic-equivalence","title":"Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation","date":"2022-10-06","arxiv_id":"2210.03018","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-with-large-action-1","title":"Reinforcement Learning with Large Action Spaces for Neural Machine Translation","date":"2022-10-06","arxiv_id":"2210.03053","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-web-services-retrieval-using","title":"A Framework for Web Services Retrieval Using Bio Inspired Clustering","date":"2022-10-04","arxiv_id":"2210.01761","repositories_listed":0,"syntology":null},{"url":null,"slug":"lexical-semantics-enhanced-neural-word","title":"Lexical semantics enhanced neural word embeddings","date":"2022-10-03","arxiv_id":"2210.00754","repositories_listed":0,"syntology":null},{"url":"/paper/kevin-a-knowledge-enhanced-validity-and","slug":"kevin-a-knowledge-enhanced-validity-and","title":"KEViN: A Knowledge Enhanced Validity and Novelty Classifier for Arguments","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"optice-a-coherence-theory-based-model-for","title":"OpticE: A Coherence Theory-Based Model for Link Prediction","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"qsts-a-question-sensitive-text-similarity","title":"QSTS: A Question-Sensitive Text Similarity Measure for Question Generation","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"snlp-at-textgraphs-2022-shared-task","title":"SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"speaker-clustering-in-textual-dialogue-with-1","title":"Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"textgraphs-16-natural-language-premise","title":"TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"varanalysis-sv-ident-2022-variable-detection","title":"Varanalysis@SV-Ident 2022: Variable Detection and Disambiguation Based on Semantic Similarity","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-of-taxonomic-and-neural-embedding","title":"Evaluation of taxonomic and neural embedding methods for calculating semantic similarity","date":"2022-09-30","arxiv_id":"2209.15197","repositories_listed":0,"syntology":null},{"url":null,"slug":"word-to-sentence-visual-semantic-similarity","title":"Word to Sentence Visual Semantic Similarity for Caption Generation: Lessons Learned","date":"2022-09-26","arxiv_id":"2209.12817","repositories_listed":0,"syntology":null},{"url":null,"slug":"raising-the-bar-on-the-evaluation-of-out-of","title":"Raising the Bar on the Evaluation of Out-of-Distribution Detection","date":"2022-09-24","arxiv_id":"2209.11960","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-closer-look-at-novel-class-discovery-from","title":"A Closer Look at Novel Class Discovery from the Labeled Set","date":"2022-09-19","arxiv_id":"2209.09120","repositories_listed":0,"syntology":null},{"url":null,"slug":"super-rec-surrounding-position-enhanced","title":"SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation","date":"2022-09-09","arxiv_id":"2209.04154","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-explainable-evaluation-of-language","title":"Towards explainable evaluation of language models on the semantic similarity of visual concepts","date":"2022-09-08","arxiv_id":"2209.03723","repositories_listed":0,"syntology":null},{"url":null,"slug":"monolingual-alignment-of-word-senses-and","title":"Monolingual alignment of word senses and definitions in lexicographical resources","date":"2022-09-06","arxiv_id":"2209.02465","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-the-susceptibility-of-pre-trained","title":"Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples","date":"2022-09-05","arxiv_id":"2209.02128","repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-structured-and-unstructured-1","title":"Combining Structured and Unstructured Knowledge in an Interactive Search Dialogue System","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-event-causality-identification-with","title":"Zero-shot Event Causality Identification with Question Answering","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evolving-the-mcts-upper-confidence-bounds-for","title":"Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne","date":"2022-08-29","arxiv_id":"2208.13589","repositories_listed":0,"syntology":null},{"url":null,"slug":"performance-optimization-for-semantic","title":"Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach","date":"2022-08-17","arxiv_id":"2208.08239","repositories_listed":0,"syntology":null},{"url":null,"slug":"paraphrasing-textual-entailment-and-semantic","title":"Paraphrasing, textual entailment, and semantic similarity above word level","date":"2022-08-10","arxiv_id":"2208.05387","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-semantic-communications-deep-learning","title":"Towards Semantic Communications: Deep Learning-Based Image Semantic Coding","date":"2022-08-08","arxiv_id":"2208.04094","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-based-visual-question-answering-1","title":"Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base","date":"2022-07-27","arxiv_id":"2207.13242","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cognitive-study-on-semantic-similarity","title":"A Cognitive Study on Semantic Similarity Analysis of Large Corpora: A Transformer-based Approach","date":"2022-07-24","arxiv_id":"2207.11716","repositories_listed":0,"syntology":null},{"url":null,"slug":"eept-early-discovery-of-emerging-entities-in","title":"Early Discovery of Emerging Entities in Persian Twitter with Semantic Similarity","date":"2022-07-06","arxiv_id":"2207.02434","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dynamic-interpreted-checklist-for-meaning-1","title":"A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating","date":"2022-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-job-titles-similarity-from-noisy","title":"Learning Job Titles Similarity from Noisy Skill Labels","date":"2022-07-01","arxiv_id":"2207.00494","repositories_listed":0,"syntology":null},{"url":null,"slug":"surf-semantic-level-unsupervised-reward","title":"SURF: Semantic-level Unsupervised Reward Function for Machine Translation","date":"2022-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"team-dina-at-semeval-2022-task-8-pre-trained","title":"Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity","date":"2022-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"emphasizing-complementary-samples-for-non","title":"Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval","date":"2022-06-25","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-graph-fusion-for-language-model","title":"Knowledge Graph Fusion for Language Model Fine-tuning","date":"2022-06-21","arxiv_id":"2206.14574","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-graph-construction-and-its","title":"Knowledge Graph Construction and Its Application in Automatic Radiology Report Generation from Radiologist's Dictation","date":"2022-06-13","arxiv_id":"2206.06308","repositories_listed":0,"syntology":null},{"url":null,"slug":"highlights-of-semantics-in-multi-objective","title":"Highlights of Semantics in Multi-objective Genetic Programming","date":"2022-06-10","arxiv_id":"2206.05010","repositories_listed":0,"syntology":null},{"url":null,"slug":"building-a-synthetic-biomedical-research","title":"Building a Synthetic Biomedical Research Article Citation Linkage Corpus","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"building-static-embeddings-from-contextual","title":"Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"clister-a-corpus-for-semantic-textual","title":"CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-level-semantic-similarity-for-serbian","title":"Cross-Level Semantic Similarity for Serbian Newswire Texts","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"embeddings-models-for-buddhist-sanskrit","title":"Embeddings models for Buddhist Sanskrit","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-financial-documentation","title":"Multilingual Financial Documentation Summarization by Team_Tredence for FNS2022","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentence-pair-embeddings-based-evaluation","title":"Sentence Pair Embeddings Based Evaluation Metric for Abstractive and Extractive Summarization","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multiscale-voxel-based-decoding-for-enhanced","title":"Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity","date":"2022-05-27","arxiv_id":"2205.14177","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-segment-with-limited-annotations","title":"Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI","date":"2022-05-26","arxiv_id":"2205.13109","repositories_listed":0,"syntology":null},{"url":null,"slug":"apport-des-ontologies-pour-le-calcul-de-la","title":"Apport des ontologies pour le calcul de la similarité sémantique au sein d'un système de recommandation","date":"2022-05-25","arxiv_id":"2205.12539","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dynamic-interpreted-checklist-for-meaning","title":"A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation -- through the Lens of Semantic Similarity Rating","date":"2022-05-24","arxiv_id":"2205.12176","repositories_listed":0,"syntology":null},{"url":null,"slug":"neuro-symbolic-artificial-intelligence-ai-for","title":"Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication","date":"2022-05-22","arxiv_id":"2205.10768","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-case-for-perspective-in-multimodal","title":"The Case for Perspective in Multimodal Datasets","date":"2022-05-22","arxiv_id":"2205.10902","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-contextual-representation-with-1","title":"Improving Contextual Representation with Gloss Regularized Pre-training","date":"2022-05-13","arxiv_id":"2205.06603","repositories_listed":0,"syntology":null},{"url":null,"slug":"binary-encoded-word-movers-distance","title":"Binary Encoded Word Mover’s Distance","date":"2022-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-relevance-quality-in-product-search","title":"Improving Relevance Quality in Product Search using High-Precision Query-Product Semantic Similarity","date":"2022-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rewarding-semantic-similarity-under-optimized","title":"Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation","date":"2022-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exposing-cross-lingual-lexical-knowledge-from","title":"Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders","date":"2022-04-30","arxiv_id":"2205.00267","repositories_listed":0,"syntology":null},{"url":null,"slug":"suggesting-relevant-questions-for-a-query","title":"Suggesting Relevant Questions for a Query Using Statistical Natural Language Processing Technique","date":"2022-04-26","arxiv_id":"2204.12069","repositories_listed":0,"syntology":null},{"url":null,"slug":"word-embeddings-and-validity-indexes-in-fuzzy","title":"Word Embeddings and Validity Indexes in Fuzzy Clustering","date":"2022-04-26","arxiv_id":"2205.06802","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-level-alignment-training-scheme-for","title":"A Multi-level Alignment Training Scheme for Video-and-Language Grounding","date":"2022-04-22","arxiv_id":"2204.10938","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-contrastive-learning-by-permuting","title":"Adversarial Contrastive Learning by Permuting Cluster Assignments","date":"2022-04-21","arxiv_id":"2204.10314","repositories_listed":0,"syntology":null},{"url":null,"slug":"farmer-bot-an-interactive-bot-for-farmers","title":"Farmer-Bot: An Interactive Bot for Farmers","date":"2022-04-07","arxiv_id":"2204.07032","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-comparison-of-sentence-embeddings","title":"Efficient comparison of sentence embeddings","date":"2022-04-02","arxiv_id":"2204.00820","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bilingual-approach-to-specialised","title":"A bilingual approach to specialised adjectives through word embeddings in the karstology domain","date":"2022-03-31","arxiv_id":"2203.16885","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-pose-verification-for-outdoor-visual","title":"Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning","date":"2022-03-31","arxiv_id":"2203.16945","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-media-scientific-research-achievements","title":"Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model","date":"2022-03-29","arxiv_id":"2203.15595","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-similarity-computing-for-scientific","title":"Semantic Similarity Computing for Scientific Academic Conferences fused with domain features","date":"2022-03-21","arxiv_id":"2203.12593","repositories_listed":0,"syntology":null},{"url":null,"slug":"scientific-and-technological-information","title":"Scientific and Technological Information Oriented Semantics-adversarial and Media-adversarial Cross-media Retrieval","date":"2022-03-16","arxiv_id":"2203.08615","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-machine-learning-algorithm-for","title":"Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports","date":"2022-02-28","arxiv_id":"2202.13618","repositories_listed":0,"syntology":null},{"url":null,"slug":"tis-but-thy-name-semantic-question-answering","title":"'Tis but Thy Name: Semantic Question Answering Evaluation with 11M Names for 1M Entities","date":"2022-02-28","arxiv_id":"2202.13581","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-based-cross-layer-domain-alignment","title":"Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation","date":"2022-02-27","arxiv_id":"2202.13310","repositories_listed":0,"syntology":null},{"url":null,"slug":"james-job-title-mapping-with-multi-aspect","title":"JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning","date":"2022-02-22","arxiv_id":"2202.10739","repositories_listed":0,"syntology":null},{"url":null,"slug":"autoencoding-low-resolution-mri-for","title":"Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI","date":"2022-02-18","arxiv_id":"2202.09258","repositories_listed":0,"syntology":null},{"url":null,"slug":"moving-other-way-exploring-word-mover","title":"Moving Other Way: Exploring Word Mover Distance Extensions","date":"2022-02-07","arxiv_id":"2202.03119","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-similarity-computing-model-based-on","title":"Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion","date":"2022-02-05","arxiv_id":"2202.02476","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-models-explain-word-reading-times","title":"Language Models Explain Word Reading Times Better Than Empirical Predictability","date":"2022-02-02","arxiv_id":"2202.01128","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-based-approach-for-safety-signals","title":"AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum","date":"2022-02-01","arxiv_id":"2203.03538","repositories_listed":0,"syntology":null},{"url":null,"slug":"duplicate-detection-in-a-knowledge-base-with","title":"Duplicate Detection in a Knowledge Base with PIKA","date":"2022-02-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-embedding-of-semantic-similarity-in","title":"Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation","date":"2022-01-28","arxiv_id":"2201.12300","repositories_listed":0,"syntology":null},{"url":null,"slug":"discriminative-supervised-subspace-learning","title":"Discriminative Supervised Subspace Learning for Cross-modal Retrieval","date":"2022-01-26","arxiv_id":"2201.11843","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-contextual-representation-with","title":"Improving Contextual Representation with Gloss Regularized Pre-training","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-with-large-action","title":"Reinforcement Learning with Large Action Spaces for Neural Machine Translation","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"task-formulation-matters-when-learning","title":"Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"structure-with-semantics-exploiting-document","title":"Structure and Semantics Preserving Document Representations","date":"2022-01-11","arxiv_id":"2201.03720","repositories_listed":0,"syntology":null},{"url":null,"slug":"resource-recommender-system-performance","title":"Graph-Based Recommendation System Enhanced with Community Detection","date":"2022-01-10","arxiv_id":"2201.03622","repositories_listed":0,"syntology":null},{"url":null,"slug":"traffic-event-description-based-on-twitter","title":"Traffic event description based on Twitter data using Unsupervised Learning Methods for Indian road conditions","date":"2021-12-23","arxiv_id":"2201.02738","repositories_listed":0,"syntology":null},{"url":null,"slug":"superpixel-based-building-damage-detection","title":"Superpixel-Based Building Damage Detection from Post-earthquake Imagery Using Deep Neural Networks","date":"2021-12-09","arxiv_id":"2112.04744","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-verses-of-the-quran-using-doc2vec","title":"Classifying Verses of the Quran using Doc2vec","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-of-sentence","title":"Contrastive Learning of Sentence Representations","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-language-modeling-an-empirical","title":"Cross-Domain Language Modeling: An Empirical Investigation","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-alignment-of-knowledge-graph","title":"Cross-lingual Alignment of Knowledge Graph Triples with Sentences","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bilingual-topic-models-for-comparable-corpora","title":"Bilingual Topic Models for Comparable Corpora","date":"2021-11-30","arxiv_id":"2111.15278","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-compositional-zero-shot-learning-with","title":"3D Compositional Zero-shot Learning with DeCompositional Consensus","date":"2021-11-29","arxiv_id":"2111.14673","repositories_listed":0,"syntology":null},{"url":null,"slug":"code-clone-detection-based-on-event-embedding","title":"Code Clone Detection based on Event Embedding and Event Dependency","date":"2021-11-28","arxiv_id":"2111.14183","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-distributional-principles-for-the","title":"Using Distributional Principles for the Semantic Study of Contextual Language Models","date":"2021-11-23","arxiv_id":"2111.12174","repositories_listed":0,"syntology":null},{"url":null,"slug":"metamorphic-adversarial-detection-pipeline","title":"Metamorphic Adversarial Detection Pipeline for Face Recognition Systems","date":"2021-11-22","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"87975f597c5bc4885da489432fb41514960dbbed7e91e66cb1cee9d236cae6b7","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}