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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/fjiangai/cpts

공식 코드

Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark

https://github.com/flagopen/flagembedding

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Making Large Language Models A Better Foundation For Dense Retrieval

https://github.com/flairNLP/flair

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FLERT: Document-Level Features for Named Entity Recognition

https://github.com/flak300S/emnlp2020_CNE-net

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A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis

https://github.com/flipz357/S3BERT

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SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features

https://github.com/flipz357/amr-quality-rater

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AMR Quality Rating with a Lightweight CNN

https://github.com/flipz357/amr4nli

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AMR4NLI: Interpretable and robust NLI measures from semantic graphs

https://github.com/forjadeforest/icd-lm

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Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

https://github.com/forjadeforest/lever-lm

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Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

https://github.com/forrestdavis/AmbiAttach

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Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment

https://github.com/fpsluozi/tofindwaldo

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To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo

https://github.com/fqixiang/survey-embedding-validity

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Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions

https://github.com/franciellevargas/FactNews

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Predicting Sentence-Level Factuality of News and Bias of Media Outlets

https://github.com/francois-meyer/ssmt

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Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation

https://github.com/frank-wildenburg/dust

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Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!

https://github.com/frankxu2004/cooking-procedural-extraction

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A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos

https://github.com/fredxlpy/luxembedder

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LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings

https://github.com/freesunshine0316/nary-grn

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N-ary Relation Extraction using Graph State LSTM

https://github.com/freesunshine0316/sembleu

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SemBleu: A Robust Metric for AMR Parsing Evaluation

https://github.com/fshaik8/mismatched

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A MISMATCHED Benchmark for Scientific Natural Language Inference

https://github.com/fstahlberg/ucam-scripts

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An Operation Sequence Model for Explainable Neural Machine Translation

https://github.com/funzac/comedi

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Funzac at CoMeDi Shared Task: Modeling Annotator Disagreement from Word-In-Context Perspectives

https://github.com/fuzihaofzh/distant_supervision_nlg

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Partially-Aligned Data-to-Text Generation with Distant Supervision

https://github.com/fywalter/simptc

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Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations

https://github.com/g8a9/building-bridges-gender-fair-german-mt

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Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German

https://github.com/gabrielsantosrv/PraCegoVer

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#PraCegoVer: A Large Dataset for Image Captioning in Portuguese

https://github.com/gair-nlp/mops

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MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation

https://github.com/galatolofederico/cerbero-7b

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Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation

https://github.com/galpatel/minimal-paraphrases

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On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation

https://github.com/galsang/SATA-Tree-LSTM

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Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations

https://github.com/galsang/SG-BERT

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Self-Guided Contrastive Learning for BERT Sentence Representations

https://github.com/galsang/SemEval2018-task12

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SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension

https://github.com/ganchengguang/SLG-framework

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Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition

https://github.com/gangeshwark/PropagandaNews

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SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda using Sentence-Level Emotional Salience Features

https://github.com/gaojun4ever/swcc4event

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Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering

https://github.com/garima2751/tf_cdn

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Transfer learning for conflict and duplicate detection in software requirement pairs

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