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

https://github.com/aailabkaist/reic

공식 코드

Reward-based Input Construction for Cross-document Relation Extraction

https://github.com/abdelkadermh/isarcasmeval

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CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic

https://github.com/accord-project/code-accord

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CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking

https://github.com/adapt-sjtu/commonsense-locatednear

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Automatic Extraction of Commonsense LocatedNear Knowledge

https://github.com/adaxry/post-instruction

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Instruction Position Matters in Sequence Generation with Large Language Models

https://github.com/adelwang/migres

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LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation

https://github.com/aditya-choudhary599/Marathi-Plagiarism-Detection

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Enhancing Plagiarism Detection in Marathi with a Weighted Ensemble of TF-IDF and BERT Embeddings for Low-Resource Language Processing

https://github.com/adlnlp/attention_vl

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Understanding Attention for Vision-and-Language Tasks

https://github.com/adlnlp/tri-nlu

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Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets

https://github.com/adp01/Code-Mixed-Dataset

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Codeswitched Sentence Creation using Dependency Parsing

https://github.com/adrianofragomeni/contra

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ConTra: (Con)text (Tra)nsformer for Cross-Modal Video Retrieval

https://github.com/advattack/bu-spo

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Semantic-Preserving Adversarial Text Attacks

https://github.com/adxcreative/EERCF

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Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning

https://github.com/aetting/compeval-generation-system

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Assessing Composition in Sentence Vector Representations

https://github.com/afqueiruga/StatefulOdeNets

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Stateful ODE-Nets using Basis Function Expansions

https://github.com/afrozas/skip-thought-gan

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Generating Text through Adversarial Training using Skip-Thought Vectors

https://github.com/aghie/tree2labels

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Better, Faster, Stronger Sequence Tagging Constituent Parsers

https://github.com/agwabom/pema

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PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models

https://github.com/ahare63/categorical-to-latent

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On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search

https://github.com/ahmedssabir/Semantic-Relatedness-Based-Reranker-for-Text-Spotting

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Semantic Relatedness Based Re-ranker for Text Spotting

https://github.com/ai-growth-lab/semp_patent

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A Survey on Sentence Embedding Models Performance for Patent Analysis

https://github.com/ai-ku/Morse.jl

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Morphological analysis using a sequence decoder

https://github.com/ai-ku/TrMor2018

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Morphological analysis using a sequence decoder

https://github.com/ai-secure/textguard

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TextGuard: Provable Defense against Backdoor Attacks on Text Classification

https://github.com/ai4bharat/indictrans2

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IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages

https://github.com/ai4ed/sc-ques

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SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners

https://github.com/aiai-99/katzbot

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KatzBot: Revolutionizing Academic Chatbot for Enhanced Communication

https://github.com/aim3-ruc/mpmqa

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MPMQA: Multimodal Question Answering on Product Manuals

https://github.com/aimagelab/COGT

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Causal Graphical Models for Vision-Language Compositional Understanding

https://github.com/airsplay/lxmert

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LXMERT: Learning Cross-Modality Encoder Representations from Transformers

https://github.com/aisecure/AdvCodec

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T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack

https://github.com/aistairc/lm_syntax_negative

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An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models

https://github.com/aitor-garcia-p/hate-speech-dataset

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Hate Speech Dataset from a White Supremacy Forum

https://github.com/akalino/semantic-structural-sentences

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A Comparative Study on Structural and Semantic Properties of Sentence Embeddings

https://github.com/akedjouadj/risingBALLER

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RisingBALLER: A player is a token, a match is a sentence, A path towards a foundational model for football players data analytics

https://github.com/akkarimi/aeda_nlp

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AEDA: An Easier Data Augmentation Technique for Text Classification

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