https://github.com/declare-lab/wikides
공식 코드WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs
Papers with Code 아카이브
Text Classification
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Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.
Text Classification problems include emotion classification, news classification, citation intent classification, among others. Benchmark datasets for evaluating text classification capabilities include GLUE, AGNews, among others.
In recent years, deep learning techniques like XLNet and RoBERTa have attained some of the biggest performance jumps for text classification problems.
<span style="color:grey; opacity: 0.6">( Image credit: Text Classification Algorithms: A Survey )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/deep-spin/adasplash
공식 코드https://github.com/deep-spin/mcan-vqa-continuous-attention
공식 코드https://github.com/deep-spin/sparse-activations-cp
공식 코드https://github.com/deep-spin/spec
공식 코드The Explanation Game: Towards Prediction Explainability through Sparse Communication
https://github.com/deepmind/interval-bound-propagation
공식 코드Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
https://github.com/deepopinion/anls_star_metric
공식 코드ANLS* -- A Universal Document Processing Metric for Generative Large Language Models
https://github.com/derekgreene/dynamic-nmf
공식 코드Exploring the Political Agenda of the European Parliament Using a Dynamic Topic Modeling Approach
https://github.com/derekgreene/topic-ensemble
공식 코드https://github.com/dfki-nlp/smv
공식 코드https://github.com/dheeraj7596/SCDV
공식 코드SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
https://github.com/dheeraj7596/lops
공식 코드LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification
https://github.com/dheerajrajagopal/SelfExplain
공식 코드SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
https://github.com/dhfbk/pucc
공식 코드Putting Context in Context: the Impact of Discussion Structure on Text Classification
https://github.com/dhirlea/contextual_sentence_classification
공식 코드Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports
https://github.com/dice-group/I-AID
공식 코드I-AID: Identifying Actionable Information from Disaster-related Tweets
https://github.com/didi/delta
공식 코드https://github.com/difanj0713/spin
공식 코드SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification
https://github.com/dinghanshen/SWEM
공식 코드Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
https://github.com/dinobby/hypemo
공식 코드Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification
https://github.com/disiji/bayesian-blackbox
공식 코드https://github.com/divelab/lgcn
공식 코드https://github.com/dki-lab/covid19-classification
공식 코드https://github.com/dkorenci/topic_coverage
공식 코드https://github.com/dmcb-gist/exploit_all_samples
공식 코드https://github.com/dminus1/genre
공식 코드BERT Goes Off-Topic: Investigating the Domain Transfer Challenge using Genre Classification
https://github.com/dmis-lab/biobert
공식 코드BioBERT: a pre-trained biomedical language representation model for biomedical text mining
https://github.com/dmlc/dgl
공식 코드https://github.com/dmollaaliod/bioasq-synergy-public
공식 코드https://github.com/dmollaaliod/bioasq10b-public
공식 코드Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering
https://github.com/dogregor/tokengraph
공식 코드https://github.com/dominiksinsaarland/DocSCAN
공식 코드DocSCAN: Unsupervised Text Classification via Learning from Neighbors
https://github.com/dominiksinsaarland/evaluating-topic-model-output
공식 코드Revisiting Automated Topic Model Evaluation with Large Language Models
https://github.com/donttal/tara
공식 코드https://github.com/douglashiwo/aisentencedetection
공식 코드https://github.com/douglasraevan/covid19-indonesian-misinformation-tweets
공식 코드Two-Stage Classifier for COVID-19 Misinformation Detection Using BERT: a Study on Indonesian Tweets
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.