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ΑπόγονοιArxiv DocNew AfricaBoucle ferroviaire d’Afrique de l’OuestJuliana RotichNigerAïrDiffaDossoDjermakoyeHistoire du NigerHistoire des JermasMission "Voulet-Chanoine"Sarraounia MangouSeyni KountchéJean RouchJermaKouréMoussa KakaMusique du NigerCFPMJohn SofakolleMoussa PoussiSani AboussaNiameyAffaires de Gado à NiameyCFPMMusée de NiameyNiger : agricultureNiger : festival de la jeunesseNiger : pétroleNiger : putsch 2023Parc du WPhotos du NigerRébellion touarègueSeyni KountchéTandjaTénéréZinderZinder : alimentation en eauNLP2D-NLPLayoutLMTemplatic documentsVisually rich documentsCoursera: NLP classDeep NLPELMoExplainable NLPBlackbox NLPLIMEPre-Trained Language ModelsBERTALBERTBERT + KBBERT + Sentence EmbeddingsSentence-BERTsBERT fine-tuningSentence-BERT: Domain adaptationSentenceBERT and WordsBERT-based entity linkingBERT fine-tuningBERT fine-tuning: instabilitiesBertologyBERTopicCamemBERTDistilBERTDomain-Specific BERTKeyBERTKnowBertELMoERNIELLMAnthropicBardChatGPTChatGPT: competitorsChatGPT: costsChatGPT: programmingChatGPT: ToolsChatGPT pluginsChatGPT Retrieval PluginGPT Code InterpreterChatGPT: trainingChatGPT: use-caseChatGPT+SearchBing+ChatGPTChatGPT Retrieval PluginKnowledge (Raphaël)paper-QAperplexity.aiChatGPT APIChatGPT fine-tuningChatGPT Over Your DataChatGPT pluginsChichillaDo LLMs understand?Emergence in LLMsFrugal LLMsFunction Calling (LLM)GeminiGenerative Transformer LMOpenAI GPTChatGPTGPT: alternativesGPT: appsGPT/LLM devGPT-2GPT-3GPT-3.5GPT-4GPTsGPT sample codeGPT use-caseChatGPT: use-caseGPT and educationOpenAI: Function callingOpenAI Embeddingsperplexity.aiWindows CopilotPrompting/In-context learningIn-context learningLLMs: extended context windowMany-Shot In-Context LearningLLM Fine-tuning vs promptingPrompt engineeringRetrieval-augmented in-context learningGPT/LLM devGPT-3Hallucination problemInstruction tuningLLaMALLM + CodeLLM + IRHyDERAG (Retrieval-Augmented Generation)Agentic RAGHyDELLM Fine-tuning vs RAGRAG: AgentsRAG: chunkingRAG + KGRAG evaluationRAG isn't easyWalkingRAGLLM + KGLLM + structured dataChat over structured dataLLM+SQLLLM CompositionLLM pre-trainingLLMs + scientific papersLLMs in enterprisesLLMs over your dataChatGPT Over Your DataChat over structured dataChat over your dataChat over your PDFsGPT4AllLlamaIndexJerry LiuLLM TipsLLM use caseLM: tokenizationOpenAI GPTOpen-source LLMSemantic KernelTool-Augmented LLMsChatGPT pluginsLLMs accessing APIsOpenAI: Function callingToolformerOpenAI GPTPromptsPrompt engineeringPrompting/In-context learningPrompt TuningT5 (Text-To-Text Transfer Transformer)ULMFiTXLNetGraphs + NLPKnowledge Graphs and NLPBERT + KBKnowledge Graphs in NLPLM + KGBERT + KBLLM + KGLLMs and basic Renault KnowledgeSPIKE-KBCText, KG and embeddingsText-Aware KG embeddingUsing literal descriptions of entitiesWord + Entity embeddingsWikipedia2VecText to KGGrounded Language LearningHistory of NLPKnowledge Graphs and NLPMachine translationNeural machine translationStatistical machine translationUnsupervised machine translationML/NLP blogMultilingual NLPCross-lingual NLPMachine translationMultilingual embeddingsMultilingual Language ModelsMultilingual searchNLP: companiesCohere.aiHugging FaceAutoNLPHugging Face: devhuggingface / transformersHuggingFace BigScienceNLP: current stateNLP: FrenchNLP: introductionNLP: use casesAI 4 IPGoogle PatentsPatent LandscapingPatents & NLPBiomedical NLPChatbotsBlenderBotDialogflowGoogle LaMDAIntent detectionIntent classification and slot fillingLong-term conversation (chatbot)Passage AISlot fillingIntent classification and slot fillingConversational AILLM use caseNLP+AutomotiveNLP + educationNLP + Human ResourcesJob matchingJob title normalizationNLP + juridiqueNLP 4 Requirements EngineeringNLP and humanitiesNLP and SearchLM + SearchNLP based IRNeural SearchBEIRCherche (Raphaël)ColBERTDense Passage RetrievalEmbeddings in Information RetrievalExtractive SearchHaystackHybrid SearchMulti-Vector RetrievalNeural Ranking ModelsPineconeREALMtxtaiVespaWeaviateRanked Entities in Search ResultsSurvey analysisNLP + Sem webNLP 4 AfricaMasakhaneNLP 4 SemanlinkNLP based IRNLP datasetsBEIRDataset biasQuora Question PairsSQuADNLP eventNLP conferenceACLCOLINGEMNLPEMNLP 2018EMNLP 2019EMNLP 2020EMNLP 2021EMNLP 2022EMNLP 2023Paris NLP meetupNLP girls and guys@jobergumAlex AllauzenAndrew McCallumAntoine BordesBenjamin ClaviéBenjamin HeinzerlingBenjamin PiwowarskiBhaskar MitraCatherine OlssonChris ManningDan JurafskyDelip RaoDenny BritzFrançois YvonGaël de ChalendarGautier IzacardGuillaume GenthialGuillaume LampleIkuya YamadaJeremy HowardJerry LiuJosé MorenoJure LeskovecLaure SoulierLilian WengLudovic DenoyerLynda TamineMaâli MnasriManaal FaruquiManik VarmaMatthew HonnibalMatthieu LabeauDiscuté avec M. LabeauMichael GlassMoshe WasserblatMostafa DehghaniNils ReimersOlivier FerretOmar KhattabOmer LevyPeter BloemPeter NorvigRada MihalceaRichard SocherRonan CollobertSanjeev AroraA La Carte EmbeddingSIF embeddingsSebastian RuderThomas WolfYoav GoldbergYoshua BengioConsciousness PriorYves PeirsmanNLP in enterpriseNLP+AutomotiveNLP papersNLP sample codeGPT sample codeNLP tasks / problemsAI that can say I don't knowThree-way decisionsAmbiguity (NLP)Word sense / Lexical ambiguityELMoSense2vecTarget Sense VerificationWord-sense disambiguationLesk algorithmAspect (NLP)Automatic taggingConcept Extraction / LinkingKeyword/keyphrase extractionConcept Extraction / LinkingKeyBERTRAKETextRankUnsupervised keyphrase extractionClustering of text documentsConcept Extraction / LinkingConversational AICoreference resolutionCross-lingual NLPDependency parsingDomain adaptation (NLP)Domain adaptation: vocabularyDomain-Specific BERTLanguage Model: domain adaptationLLMs and basic Renault KnowledgeSentence embeddings: Domain adaptationUnsupervised Domain Adaptation (NLP)Entity linkingDeep MatcherEnd-To-End Entity LinkingEntity DisambiguationEntity LinkerList-only Entity LinkingTransformer-Based Entity LinkingWikificationZero-shot Entity LinkingEntity RetrievalEnd-To-End Entity LinkingEntity linkingNamed Entity RecognitionAcronyms (NLP)Entity miningEntity TaggingNER: unseen mentionsNLP: Data AnonymizationStanford NERUnsupervised NERWikilinks CorpusEvent extractionFact verificationGeneral NLP tasksPart Of Speech TaggingPhrases (NLP)Keyword/keyphrase extractionPhrase embeddingsPhrase miningShallow parsing (Chunking)StemmingText feature extractionIntent detectionKeyword/keyphrase extractionKnowledge-Intensive NLP TasksNLP for scientific documentsScientific information extractionOpen Domain Question AnsweringLanguage IdentificationLong documentsLoosely formatted textLow-Resource LanguagesLow-Resource NLPMasked entity predictionMeaning in NLPMultitask Learning in NLPMultiword ExpressionsNamed Entity RecognitionNatural language generationNatural Language InferenceNLP: Data AnonymizationNLP: negationNLP: short textsNLP for scientific documentsNLP task as a QA problemNLUDo LLMs understand?Grounded Language LearningMicrosoft Concept GraphNLU is hardReading ComprehensionSlot fillingOpen domain tasksFact-checkingOpen Domain Question AnsweringPart Of Speech TaggingPredicting numeric values from textProduct data & NLPQuestion AnsweringCommonsense Question AnsweringExtractive Question AnsweringFactoid QAGenerative Search EnginesHaystackMulti-hop reasonningNLP task as a QA problemOpen Domain Question Answeringpaper-QAReading ComprehensionSemi/Unsupervised QASemi-Supervised QAUnsupervised QASQuADSynthetic QA dataGPL (Generative Pseudo Labeling)Rare words (NLP)Reading ComprehensionRelation ExtractionRelation LearningRepresentation Learning for NLPShallow parsing (Chunking)Slot fillingSpellcheckerStemmingSynonymyText Classificationemail classificationFastTextFew-shot text classificationIncremental Few-shot Text ClassificationSetFit (SBERT fine-tuning)Text Classification Using Label Names OnlyZero-shot Text ClassifierHierarchical text classificationHierarchical multi-label text classificationSemanlink Tag FinderLibShortTextMulti-label Text classificationStanford classifierTopical text classificationText SimilarityCross-EncodersIdentification of similar documentsSemantic Text MatchingSentence SimilarityWord Mover’s DistanceText SummarizationText to SQLTopic ModelingBERTopicDynamic topic modelgensimLatent Dirichlet allocationTop2VecTopic Modeling over Short TextsTopic Models + Word embeddingTransfer learning in NLPTrust in NLPWord sense / Lexical ambiguityNLP TeamsAllen Institute for AI (AI2)AllenNLPELMoKnowBertHugging FaceNLP@AlibabaNLP@BaiduNLP@ENSNLP@FacebookBlenderBotBLINKCamemBERTFastTextParlAIPoincaré EmbeddingsStarSpaceNLP@GoogleALBERTBardBERTDialogflowGeminiGoogle LaMDAPaLMSGNNT5 (Text-To-Text Transfer Transformer)Universal Sentence EncoderWord2vecDoc2VecWord2vec: howtoNLP@HarvardNLP@IBMNLP@MicrosoftBhaskar MitraE5LoRAMicrosoft Concept GraphSemantic KernelNLP@MITNLP @ OpenAINLP@StanfordAlpacaColBERTCoursera: NLP classcs224nGloVeStanford classifierStanford NERStanford POS TaggerStanzaNLP techniquesBacktranslationBag-of-wordsContextualized word representationsDistributional semanticsLatent Semantic AnalysisLesk algorithmTopic ModelingWord embeddingsA La Carte EmbeddingCross-lingual Word EmbeddingsELMoFastTextGloVeLDA2vecSubword embeddingsTopic Models + Word embeddingUsing word embeddingsWord + Entity embeddingsWord2vecWord embedding: evaluationWord Embedding CompositionalitySIF embeddingsWord embeddings: introductionWord embeddings with lexical resourcesGraph database and NLPLanguage ModelAnisotropy in LM spaceEmergence in LLMsInstruction tuningLanguage Model: AdaptationLanguage Model: domain adaptationLM Fine-tuningBERT fine-tuningContinued pre-trainingLLM Fine-tuning vs promptingLLM Fine-tuning vs RAGParameter-efficient fine-tuning (PEFT)Adapter modules (LM finetuning)LoRATask-specific modelsLanguage Model: domain adaptationLanguage Models: sizeLanguage Models + KnowledgeEntities and LMLUKEMasked entity predictionTransformer-Based Entity LinkingKnowledge-augmented Language ModelsKG-augmented Language ModelsRetrieval augmented LMColBERTDSPy (Demonstrate-Search-Predict)REALMRetrieval-based language modelsLanguage Models as Knowledge BasesLM + KGNot Encoding Factual Knowledge in Language ModelLLMLM: reasonningLM: tokenizationLM + Link PredictionLM + SearchLM evaluationLM Fine-tuningLMs: context lengthLM TrainingMLMMultilingual Language ModelsPaLMPre-Trained Language ModelsReasoning augmented LMRetrieval-based language modelsRNN based Language ModelLatent Semantic AnalysisMaxent modelsMaxEnt classifier (Multinomial logistic regression)MaxEnt for NLPMLMNeural Bag of WordsN-gramsNLP: pretrainingPre-Trained Language ModelsNLP: Text RepresentationBag-of-wordsDocument embeddingsDoc2VecDSSM (Deep Semantic Similarity Model)Representation of text + metadataGraph-based Text RepresentationsLong documentsText EmbeddingsE5Geometry of language embeddingsMTEBOpenAI EmbeddingsRepresentation of text + metadataSentence EmbeddingsA La Carte EmbeddingDoc2VecDSSM (Deep Semantic Similarity Model)E5Sent2VecSentence embeddings: Domain adaptationSentence TransformersBERT + Sentence EmbeddingsSIF embeddingsUniversal Sentence EncoderUnsupervised Sentence Embedding LearningNLP: using KnowledgeKnowledge Graphs in NLPNN 4 NLPCNN 4 NLPDeep NLPSemantic HashingWord embeddingsPre-Trained Language ModelsRetrieval-based NLPSelf-Supervised Learning (NLP)StemmingText: dimension reductionText and structured data (ML-NLP)Structured data extractionText and tabular data (ML-NLP)Text feature extractionText processingTopic ModelingVector space modelgensimLatent Semantic AnalysisTF-IDFWord embeddingsNLP toolsAllenNLPApache OpenNLPAutoNLPCarrot2Cortical.ioEntity LinkerFlairgensimHaystackLibShortTextMalletNLP as a serviceNLTKProdigyPython-NLPgensimLibShortTextNLTKRAKEspaCyTextBlobRapidMinerRapidMiner/JavaSolr and NLPspaCySPIKE-KBCStanford classifierStanford POS TaggerTextBlobtxtaiWeaviateOn device NLPText: similarity, embeddings...Text Corpora and Lexical ResourcesBrown CorpusWordnetText miningSemanlink
