https://github.com/dwadden/multivers
공식 코드MultiVerS: Improving scientific claim verification with weak supervision and full-document context
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dxlong2000/sg-cqg
공식 코드Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation
https://github.com/dykang/xslue
공식 코드Style is NOT a single variable: Case Studies for Cross-Style Language Understanding
https://github.com/eanson023/mlp
공식 코드MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions
https://github.com/easonnie/combine-FEVER-NSMN
공식 코드Combining Fact Extraction and Verification with Neural Semantic Matching Networks
https://github.com/easonnie/multiNLI_encoder
공식 코드Shortcut-Stacked Sentence Encoders for Multi-Domain Inference
https://github.com/easonnie/semanticRetrievalMRS
공식 코드Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
https://github.com/easonsi/ssene
공식 코드Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency
https://github.com/eblict-gigatech/BanLemma
공식 코드BanLemma: A Word Formation Dependent Rule and Dictionary Based Bangla Lemmatizer
https://github.com/ebrahimfeghhi/beyond-brainscore
공식 코드What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores
https://github.com/ecnu-dase-nlp/rqp
공식 코드https://github.com/ecrows/l2-reddit-experiment
공식 코드Towards Ethical Content-Based Detection of Online Influence Campaigns
https://github.com/edchengg/easyproject
공식 코드Frustratingly Easy Label Projection for Cross-lingual Transfer
https://github.com/edinburghnlp/aces
공식 코드Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets
https://github.com/eduard6421/ronli
공식 코드https://github.com/egilron/elsa-introduction
공식 코드Entity-Level Sentiment Analysis (ELSA): An exploratory task survey
https://github.com/egojr/adapair
공식 코드https://github.com/eisape/incremental_parse_probe
공식 코드Probing for Incremental Parse States in Autoregressive Language Models
https://github.com/eit-nlp/bleuless_docmt
공식 코드Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation
https://github.com/ekQ/discourse-connectives
공식 코드https://github.com/ekayen/prosody_nlp
공식 코드https://github.com/ekinakyurek/lexsym
공식 코드https://github.com/eleanorjiang/blonde
공식 코드BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation
https://github.com/elena-apostol/simplex
공식 코드https://github.com/elikip/bist-parser
공식 코드Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
https://github.com/eliorsulem/HSplit-corpus
공식 코드BLEU is Not Suitable for the Evaluation of Text Simplification
https://github.com/eliorsulem/SAMSA
공식 코드https://github.com/emanjavacas/pie
공식 코드Improving Lemmatization of Non-Standard Languages with Joint Learning
https://github.com/emanjavacas/pie-data
공식 코드Improving Lemmatization of Non-Standard Languages with Joint Learning
https://github.com/emengd/multitask-agreement
공식 코드Exploring the Syntactic Abilities of RNNs with Multi-task Learning
https://github.com/emerging-welfare/glocongold
공식 코드Cross-context News Corpus for Protest Events related Knowledge Base Construction
https://github.com/emirdemirel/ALTA
공식 코드https://github.com/emnlpanon/mt-paper
공식 코드Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging
https://github.com/emorynlp/selqa
공식 코드SelQA: A New Benchmark for Selection-based Question Answering
https://github.com/emorynlp/streamside
공식 코드https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
공식 코드Compositional Visual Generation with Composable Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.