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

https://github.com/ufal/ambiguity-grammaticality-complexity

공식 코드

Sentence Ambiguity, Grammaticality and Complexity Probes

https://github.com/ufal/crac2024-corpipe

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CorPipe at CRAC 2024: Predicting Zero Mentions from Raw Text

https://github.com/ufal/eyetracked-multi-modal-translation

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EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenarios

https://github.com/ufal/perin

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ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN

https://github.com/uhh-lt/comparative

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Categorizing Comparative Sentences

https://github.com/uiucnlp/newsclaims

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NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge

https://github.com/ujjwalaananth/edm3_eventdetection

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EDM3: Event Detection as Multi-task Text Generation

https://github.com/ukplab/adasent

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AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification

https://github.com/ukplab/annotation-curriculum

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Annotation Curricula to Implicitly Train Non-Expert Annotators

https://github.com/ukplab/emnlp2021-prompt-ft-heuristics

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Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning

https://github.com/ukplab/emnlp2023_jiu_jitsu_argumentation_for_rebuttals

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Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals

https://github.com/ukplab/lagonn

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Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification

https://github.com/ukplab/pytorch-bertflow

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TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

https://github.com/ukyh/RemovingSpuriousAlignment

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Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning

https://github.com/ulf1/sentence-embedding-evaluation-german

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Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings

https://github.com/undobug/s2sbench

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S2SBench: A Benchmark for Quantifying Intelligence Degradation in Speech-to-Speech Large Language Models

https://github.com/universalpropositions/primesrl-eval

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PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation

https://github.com/unnatural-language/sim2real

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Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data

https://github.com/urvashik/lm-context-analysis

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Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

https://github.com/use-sum/usesum

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Sentence Embeddings as an intermediate target in end-to-end summarisation

https://github.com/usmaann/BioALBERT

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Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

https://github.com/usydnlp/VICTR

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VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks

https://github.com/usydnlp/rovist

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RoViST:Learning Robust Metrics for Visual Storytelling

https://github.com/utcsnlp/lfqa_discourse

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How Do We Answer Complex Questions: Discourse Structure of Long-form Answers

https://github.com/uvavision/syvic

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Going Beyond Nouns With Vision & Language Models Using Synthetic Data

https://github.com/uwnlp/open_type

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Ultra-Fine Entity Typing

https://github.com/uwnlp/qamr

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Crowdsourcing Question-Answer Meaning Representations

https://github.com/uwnlp/qrn

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Query-Reduction Networks for Question Answering

https://github.com/v-mipeng/LexiconNER

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Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning

https://github.com/vadis-project/sv-ident

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Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications

https://github.com/valbarriere/biases_ppl

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A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers

https://github.com/valdecy/pybibx

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pyBibX -- A Python Library for Bibliometric and Scientometric Analysis Powered with Artificial Intelligence Tools

https://github.com/valentin012/conspeech

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Political Speech Generation

https://github.com/vanh17/MedTextSimplifier

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AutoMeTS: The Autocomplete for Medical Text Simplification

https://github.com/vano1205/efficientcl

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Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning

https://github.com/vanoracai/core

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Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis

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