Top Tweets for #DistributionalSemantics
Our own Dirk Geeraerts evaluating the influence of Firth and Harris had on #DistributionalSemantics at @ESSLLI_official #ESSLLI2024
You shall know a linguist by the company he keeps 😉
Thanks @chiarascura10 for giving my class of #Lexicology and #LexicalSemantics a gentle introduction to #DistributionalSemantics
@chiarascura10 explaining how to integrate semantic vector space models for the modelling of the dative alternation, at #ISLE7
#distributionalsemantics #vsm #alternation
📸 @Simazhi
@imrobertyi @sspaeti @anna__geller @matsonj @pdrmnvd @AirbyteHQ I think we should use Obsidian wiki backed by github.
Then use #ChatGPT to gather a cloud of resources based on its ability to use #DistributionalSemantics to augment the human defined glossary semantics.
What room is more inspiring to hear @BarbaraMcGilli talk about detecting #semanticchange in ancient texts with #distributionalsemantics than @artskuleuven's Museumzaal?
#LECTIO
#corpuslinguistics
There is much discussion on the failures and limitations of #ChatGPT #LLM #DistributionalSemantics. In my keynote "From #NLP to #NLU: Why we need varied, comprehensive, and #StratifiedKnowledge, and how to use it for #neurosymbolic-#AI", I also discuss h…https://t.co/ozCFzVegJC
Another very interesting talk in the Language and Complexity session #CCS2022:
#distributionalsemantics #multilayer #networks
Boleda, Gemma: Distributional Semantics and Linguistic Theory https://t.co/IAGGaMlVdC #distributionalsemantics
@PolyUCBS @PolyULLT In the analysis we show how #FrameSemantics and #ConstructionGrammar #CxG can be combined with #DistributionalSemantics. We bring #CognitiveLinguistics and #LexicalSemantics together to distributionally examine the use of the causal connectors 让 使 令
"The team found that infusing #knowledgeGraph abstract representations with #neuralNetwork-s was more powerful than any methods that have come before which just relied on #neuralNetwork-s without #knowledgeGraph-s"
#DistributionalSemantics #SemanticWeb #KnowledgeManagement
IBM highlights new approach to infuse knowledge into NLP models — Neuro-symbolic #AI: https://t.co/O59d9xKZSg
——————
#BigData #DataScience #MachineLearning #DeepLearning #Algorithms #NLProc #NeuralNetworks
"kinds of queries that can be asked about #vectorspace representations are largely disconnected from #SPARQL"
"our approach can enable new kinds of queries & applications that combine symbolic ... and semantic queries within #vectorspace-s"
#DistributionalSemantics #SemanticWeb
Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings https://t.co/hIXhqvWAsI #biorxiv_bioinfo
New blog entry: Semantic web semantics vs. vector embedding machine learning semantics
https://t.co/ZY0p8pBhq5
"Probabilistic Soft Logic for Semantic Textual Similarity"
"A better characterization: if two sentences use same or similar words in same or similar relations, then will be judged similar"
#ProbabilisticSoftLogic
#SemanticTextualSimilarity
compositional #DistributionalSemantics
Moreover reminded me of the keynote by @AlexLenci1966 at the 2017 @AIC_Workshop where he proposed to use #DistributionalSemantics as fillers for slots in a frame-like representation of events/sentences https://t.co/epVSUcRco3
@brunowinck @sapinker @hypothes_is 1. text + #KnowledgeGraph + #DistributionalSemantics
2. add probabilistic knowledge (beyond #semanticweb)
⇨ #KnowledgeGraphEmbedding
3. use: web, #datamagement, domain specific search engines
4. decide with #CausalInference
https://t.co/jzJ0gjgZrP
https://t.co/YBgsH8hLqr
"Scalable Uncertainty Treatment Using Triplestores and the OWL 2 RL Profile"
"#probabilistic #ontology language PR-OWL"
"Multi-Entity #Bayesian Networks (#MEBN)"
Power-Loom
"hybrid ontologies .. deterministic and probabilistic parts"
#knowledgeManagement
https://t.co/gmJkBohzGJ
#FoodOn ontology
1. #DistributionalSemantics / #KnowledgeGraphEmbedding for curation and probabilitics representation of knowledge ?
2. #EU #GreenDeal taxonomy for better integration and accountability ?
3. #Land & #agriculture investing ?
"#FoodOn #ontology addresses food product terminology gaps (between silos) and supports #foodtraceability"
"taxonomic structure ... to support intuitive classification of foods facets" + "consistency with related ontologies"
#semantic #ontology #blockchain
#food #health #trade
@codexeditor Not sure about being like an IDE...
Should
* manage a discipline of knowledge organization
* use #DistributionalSemantics
* allow at least 3 dimensions
1. domains(s) of study
2. resources: books, blogs, tweets, etc
3. planning: the ends of author pursues
https://t.co/rSSepVavdk
@debasishg With #digitalworkflow made of
1. Evernote to harvest and search: papers, blogs, videos, code repos, etc
2. Wiki for #conceptcmapping using extracted ubiquitous language for both domain under study and purposes / planning "domain"
3. #hypothes_is for incrementalty & interactivity
@tasabat @GraknLabs @Infosys From my work with #ML, semantic web and knowledge management am quite sure we need to combine semantic and probabilistic / statitical inferences to model knowledge in complex business domains. See my tweets on #DistributionalSemantics for highlights.
@richdijkstra We need to combine #DistributionalSemantics with #KnowledgeGraphs https://t.co/aiHUyrG3m3
Straddle #SemanticWeb & #NLProc information extraction
#KnowledgeGraph inference
#ProbabilisticGraphicalModel
Probabilistic Soft Logic (PSL)
#ontology
"Compositional Morphology for Word Representations and Language Modelling"
"method for integrating compositional morphological representations into a vector-based probabilistic #languagemodel"
compositional #DistributionalSemantics
#NLPproc
https://t.co/YrpGNtpoaV
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