https://github.com/truas/MSSA
공식 코드Multi-sense embeddings through a word sense disambiguation process
Papers with Code 아카이브
Natural Language Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 6
- 보존된 평가 기록
- 42
Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning.
Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/trunpm/tpt-for-videoqa
공식 코드Temporal Pyramid Transformer with Multimodal Interaction for Video Question Answering
https://github.com/uber-research/plato-research-dialogue-system
공식 코드Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning
https://github.com/uber/ludwig
공식 코드https://github.com/ubiquitouslearning/droidcall
공식 코드DroidCall: A Dataset for LLM-powered Android Intent Invocation
https://github.com/uclmr/jack
공식 코드https://github.com/uditarora/ood-text-emnlp
공식 코드https://github.com/uds-lsv/privacy-preserving-text-transformer
공식 코드https://github.com/usc-isi-i2/cskg
공식 코드https://github.com/valeriobelcamino/unipa_inner_speech
공식 코드https://github.com/vered1986/self_talk
공식 코드https://github.com/veronica320/wikihow-gosc
공식 코드https://github.com/verypluming/transitivity
공식 코드Exploring Transitivity in Neural NLI Models through Veridicality
https://github.com/vgaraujov/seq2seq-spanish-plms
공식 코드https://github.com/vid-koci/bert-commonsense
공식 코드https://github.com/vishwajeet93/clqg
공식 코드https://github.com/voidism/invrat_debias
공식 코드Mitigating Biases in Toxic Language Detection through Invariant Rationalization
https://github.com/vt-nlp/syntax-guided-graph-transformer
공식 코드Extracting Temporal Event Relation with Syntax-guided Graph Transformer
https://github.com/vyokky/LLM-Brained-GUI-Agents-Survey
공식 코드https://github.com/wala/blanca
공식 코드https://github.com/wala/graph4code
공식 코드https://github.com/wangcunxiang/Sen-Making-and-Explanation
공식 코드Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation
https://github.com/wangywust/primacyeffectgpt
공식 코드https://github.com/wangzc1233/Prot2Chat
공식 코드Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure
https://github.com/weitianxin/mlp_fusion
공식 코드MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language Models
https://github.com/wenhuchen/Table-Fact-Checking
공식 코드TabFact: A Large-scale Dataset for Table-based Fact Verification
https://github.com/wenlai-lavine/jola
공식 코드Joint Localization and Activation Editing for Low-Resource Fine-Tuning
https://github.com/whittle-org/plm_pruning
공식 코드Structural Pruning of Pre-trained Language Models via Neural Architecture Search
https://github.com/whu-zqh/e2s2
공식 코드E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
https://github.com/whynlp/conic10k
공식 코드Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset
https://github.com/wjn1996/kp-plm
공식 코드Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding
https://github.com/wuch15/PLM4NewsRec
공식 코드Empowering News Recommendation with Pre-trained Language Models
https://github.com/wyl-willing/MindMap
공식 코드MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
https://github.com/xbraininc/viraal
공식 코드https://github.com/xdchen2/order
공식 코드https://github.com/xfactlab/emnlp2023-llm-disagreement
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.