prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the BERT-SumP model in the Deeper Text Understanding for IR with Contextual Neural Language Modeling paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the POSIT-DRMM-MV model in the Deep Relevance Ranking Using Enhanced Document-Query Interactions paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the Vanilla BERT model in the CEDR: Contextualized Embeddings for Document Ranking paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the NPRF-DRMM model in the NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the PACRR model in the Deep Relevance Ranking Using Enhanced Document-Query Interactions paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the BERT-FirstP model in the Deeper Text Understanding for IR with Contextual Neural Language Modeling paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the SNRM-PRF model in the From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the NPRF-KNRM model in the NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the SNRM model in the From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the DRMM model in the A Deep Relevance Matching Model for Ad-hoc Retrieval paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the KNRM model in the NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the BERT FT(Microblog) model in the Simple Applications of BERT for Ad Hoc Document Retrieval paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the Anserini BM25+RM3 model in the The Neural Hype and Comparisons Against Weak Baselines paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the FNRM-RankProb_Embed model in the Neural Ranking Models with Weak Supervision paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the FNRM-Rank_Embed model in the Neural Ranking Models with Weak Supervision paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the QL model in the From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing paper on the TREC Robust04 dataset? | nDCG@20, MAP, P@20 |
What metrics were used to measure the long-mBART (trained on DEplain-APA-doc & DEplain-web-doc) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-web-doc dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the long-mBART (trained on DEplain-web-doc) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-web-doc dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the long-mBART (trained on DEplain-APA-doc) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-web-doc dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the GPT-175B (6 SARI-selected examples, high/low) model in the Metric-Based In-context Learning: A Case Study in Text Simplification paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the MUSS (BART+ACCESS Supervised) model in the MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the Control Prefixes (BART) model in the Control Prefixes for Parameter-Efficient Text Generation paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the TST model in the Text Simplification by Tagging paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the ACCESS model in the Controllable Sentence Simplification paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the MUSS (BART+ACCESS Unsupervised) model in the MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the DMASS-DCSS model in the Integrating Transformer and Paraphrase Rules for Sentence Simplification paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the SBMT-SARI model in the Optimizing Statistical Machine Translation for Text Simplification paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the EditNTS model in the EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the PBMT-R model in the Sentence Simplification by Monolingual Machine Translation paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the Edit-Unsup-TS model in the Iterative Edit-Based Unsupervised Sentence Simplification paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the Pointer + Multi-task Entailment and Paraphrase Generation model in the Dynamic Multi-Level Multi-Task Learning for Sentence Simplification paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the Dress-LS model in the Sentence Simplification with Deep Reinforcement Learning paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the NTS-SARI model in the Exploring Neural Text Simplification Models paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the UNMT (Unsupervised) model in the Unsupervised Neural Text Simplification paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the UNTS-10k (Weakly supervised) model in the Unsupervised Neural Text Simplification paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the Dress model in the Sentence Simplification with Deep Reinforcement Learning paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the NSELSTM-S model in the Sentence Simplification with Memory-Augmented Neural Networks paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the SEMoses model in the Simple and Effective Text Simplification Using Semantic and Neural Methods paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the UNTS (Unsupervised) model in the Unsupervised Neural Text Simplification paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the NSELSTM-B model in the Sentence Simplification with Memory-Augmented Neural Networks paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the T5 model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the BART model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the Hybrid model in the Hybrid Simplification using Deep Semantics and Machine Translation paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the SeqLabel model in the Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs paper on the TurkCorpus dataset? | SARI (EASSE>=0.2.1), BLEU, METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the long-mBART (trained on DEplain-APA-doc) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-APA-doc dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the long-mBART (trained on DEplain-APA-doc & DEplain-web-doc) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-APA-doc dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the long-mBART (trained on DEplain-web-doc) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-APA-doc dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the mBART (trained on DEplain-APA-sent & DEplain-web-sent) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-web-sent dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the mBART (trained on DEplain-APA-sent) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-web-sent dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the HTSS model in the HTSS: A Novel Hybrid Text Summarisation and Simplification Architecture paper on the EurekaAlert dataset? | Rouge1 |
What metrics were used to measure the NSELSTM-B model in the Sentence Simplification with Memory-Augmented Neural Networks paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the UNSUP model in the Unsupervised Sentence Simplification Using Deep Semantics paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the DRESS-LS model in the Sentence Simplification with Deep Reinforcement Learning paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the DRESS model in the Sentence Simplification with Deep Reinforcement Learning paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the NSELSTM-S model in the Sentence Simplification with Memory-Augmented Neural Networks paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the Pointer + Multi-task Entailment and Paraphrase Generation model in the Dynamic Multi-Level Multi-Task Learning for Sentence Simplification paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the TST model in the Text Simplification by Tagging paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the EditNTS model in the EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the SeqLabel model in the Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the Hybrid model in the Hybrid Simplification using Deep Semantics and Machine Translation paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the PBMT-R model in the Sentence Simplification by Monolingual Machine Translation paper on the PWKP / WikiSmall dataset? | BLEU, SARI, SARI (EASSE>=0.2.1) |
What metrics were used to measure the GPT-175B (15 SARI-selected examples, random ordering) model in the Metric-Based In-context Learning: A Case Study in Text Simplification paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the MUSS (BART+ACCESS Supervised) model in the MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the Control Prefixes (BART) model in the Control Prefixes for Parameter-Efficient Text Generation paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the TST model in the Text Simplification by Tagging paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the MUSS (BART+ACCESS Unsupervised) model in the MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the ACCESS model in the Controllable Sentence Simplification paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the DMASS-DCSS model in the Integrating Transformer and Paraphrase Rules for Sentence Simplification paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the Dress-LS model in the Sentence Simplification with Deep Reinforcement Learning paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the UNTS (Unsupervised) model in the Unsupervised Neural Text Simplification paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the PBMT-R model in the Sentence Simplification by Monolingual Machine Translation paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the T5 model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the BART model in the The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics paper on the ASSET dataset? | BLEU, SARI (EASSE>=0.2.1), METEOR, FKGL, QuestEval (Reference-less, BERTScore) |
What metrics were used to measure the mBART (trained on DEplain-APA-sent & DEplain-web-sent) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-APA-sent dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the mBART (trained on DEplain-APA-sent) model in the DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification paper on the DEplain-APA-sent dataset? | SARI (EASSE>=0.2.1), BLEU, BertScore (Precision), FRE (Flesch Reading Ease) |
What metrics were used to measure the BART (TextBox 2.0) model in the TextBox 2.0: A Text Generation Library with Pre-trained Language Models paper on the Wiki-Auto + Turk dataset? | BLEU-4, METEOR, ROUGE-2 |
What metrics were used to measure the CRF Alignment + Transformer model in the Neural CRF Model for Sentence Alignment in Text Simplification paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the Pointer + Multi-task Entailment and Paraphrase Generation model in the Dynamic Multi-Level Multi-Task Learning for Sentence Simplification paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the EditNTS model in the EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the S2S-Cluster-FA model in the Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the Edit-Unsup-TS model in the Iterative Edit-Based Unsupervised Sentence Simplification paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the NSELSTM-S model in the Sentence Simplification with Memory-Augmented Neural Networks paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the NSELSTM-B model in the Sentence Simplification with Memory-Augmented Neural Networks paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the DRESS model in the Sentence Simplification with Deep Reinforcement Learning paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the DMASS + DCSS model in the Integrating Transformer and Paraphrase Rules for Sentence Simplification paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the DRESS-LS model in the Sentence Simplification with Deep Reinforcement Learning paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the SeqLabel model in the Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the Hybrid model in the Hybrid Simplification using Deep Semantics and Machine Translation paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the PBMT-R model in the Sentence Simplification by Monolingual Machine Translation paper on the Newsela dataset? | SARI, BLEU |
What metrics were used to measure the G-BAT model in the Neural Topic Modeling with Bidirectional Adversarial Training paper on the 20 Newsgroups dataset? | Accuracy |
What metrics were used to measure the BAT model in the Neural Topic Modeling with Bidirectional Adversarial Training paper on the 20 Newsgroups dataset? | Accuracy |
What metrics were used to measure the ST5-XXL model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | V-Measure |
What metrics were used to measure the MPNet model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | V-Measure |
What metrics were used to measure the GTR-XXL model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | V-Measure |
What metrics were used to measure the MiniLM-L6 model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | V-Measure |
What metrics were used to measure the ST5-XL model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | V-Measure |
What metrics were used to measure the MiniLM-L12 model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | V-Measure |
What metrics were used to measure the ST5-Large model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | V-Measure |
What metrics were used to measure the GTR-Large model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | V-Measure |
What metrics were used to measure the GTR-XL model in the MTEB: Massive Text Embedding Benchmark paper on the MTEB dataset? | V-Measure |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.