• Mozart

  • Referenced in 20 articles [sw04759]
  • assistants, as well as applications in natural language understanding and knowledge representation, in scheduling...
  • MultiNet

  • Referenced in 10 articles [sw01583]
  • representation system and their relation to natural language understanding and knowledge processing are shown...
  • Grammar Matrix

  • Referenced in 10 articles [sw21659]
  • parses and semantic representations necessary for natural language understanding...
  • Flyspeck

  • Referenced in 107 articles [sw10277]
  • developments together. The platform supports writing natural language `narratives’ that include islands of formal text ... system significantly lowers the threshold for understanding formal development and facilitates collaboration on informal...
  • GLUE

  • Referenced in 3 articles [sw30755]
  • General Language Understanding Evaluation (GLUE) benchmark is a collection ... resources for training, evaluating, and analyzing natural language understanding systems. GLUE consists of: A benchmark ... nine sentence- or sentence-pair language understanding tasks built on established existing datasets and selected ... development of general and robust natural language understanding systems...
  • Transformers

  • Referenced in 2 articles [sw30739]
  • RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation...
  • TinyBERT

  • Referenced in 2 articles [sw32564]
  • TinyBERT: Distilling BERT for Natural Language Understanding. Language model pre-training, such as BERT ... significantly improved the performances of many natural language processing tasks. However, pre-trained language models...
  • Multilisp

  • Referenced in 33 articles [sw09420]
  • toward symbolic computation. Unlike some parallel programming languages, Multilisp incorporates constructs for causing side effects ... parallel context is mitigated by the nature of the parallelism constructs and by support ... followed, should lead to highly parallel, easily understandable programs...
  • Zanzibar OpenIVR

  • Referenced in 1 article [sw21455]
  • integration of the components, dialog management, natural language understanding. It is designed to work over...
  • Graph4Code

  • Referenced in 1 article [sw33949]
  • diverse applications in semantic search and natural language understanding. Graph4Code is a knowledge graph about...
  • BWIBots

  • Referenced in 1 article [sw29447]
  • understand human commands given in natural language, and (d) understand human intention from afar...
  • SUSY

  • Referenced in 1 article [sw00934]
  • prosodic features similar to the natural language and understandable...
  • LFLC 2000

  • Referenced in 11 articles [sw08217]
  • thus work only with expressions of natural language without necessity to think how they ... computer behaves as if “partner” which understands the language of human user. LFLC...
  • MontyLingua

  • Referenced in 0 articles [sw19600]
  • free*, commonsense-enriched, end-to-end natural language understander for English. Feed raw English text...
  • LegalRuleML

  • Referenced in 4 articles [sw30411]
  • natural language need to be translated into a format that machines can understand. However, none...
  • MEGA4

  • Referenced in 6 articles [sw07695]
  • legend format, in order to provide natural language descriptions of the models and methods used ... This facility aims to promote a better understanding of the underlying assumptions used in analyses...
  • SUMMARIST

  • Referenced in 3 articles [sw26528]
  • Natural Language Processing because, to do it properly, one has to really understand the point...
  • Nasari

  • Referenced in 4 articles [sw24669]
  • Owing to the need for a deep understanding of linguistic items, semantic representation is considered ... fundamental components of several applications in Natural Language Processing and Artificial Intelligence. As a result...
  • GRC 3.2

  • Referenced in 5 articles [sw11333]
  • geometry and field theory as simple and natural as possible. GRG is based ... simple input language whose commands resemble short English phrases. GRG understands tensors, spinors, vectors, differential...
  • BERT

  • Referenced in 13 articles [sw30756]
  • Bidirectional Transformers for Language Understanding. We introduce a new language representation model called BERT, which ... Bidirectional Encoder Representations from Transformers. Unlike recent language representation models, BERT is designed ... tasks, such as question answering and language inference, without substantial task-specific architecture modifications. BERT ... state-of-the-art results on eleven natural language processing tasks, including pushing the GLUE...