277 skills found · Page 6 of 10
duorc / DuorcA Large-Scale Dataset for Paraphrased Reading Comprehension
monatis / TqpDataset and pretrained model for question paraphrasing in Turkish
phkhanhtrinh23 / LAMPAT"LAMPAT: Low-rank Adaptation Multilingual Paraphrasing using Adversarial Training" has been accepted at The 38th AAAI Conference on Artificial Intelligence (AAAI-24).
csebuetnlp / BanglaparaphraseThis repository contains the code, data, and associated models of the paper titled "BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset", accepted in Proceedings of the Asia-Pacific Chapter of the Association for Computational Linguistics: AACL 2022.
taylorbayouth / Llm Text CompressorA Python script to compress large text files for LLM context windows, optimizing the ratio of essential information to tokens used. It offers various compression techniques (key points, glossary terms, paraphrasing, etc.) to fit important content within token limits, reducing the risk of losing context and improving clarity and impact.
twostraws / ParaphraseA trivial app for storing and viewing famous quotes
uhh-lt / Par4AcadParaphrasing for academic texts
yuri-bizzoni / Metaphor ParaphraseNo description available
L-Zhe / BTmPGCode for paper Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach by Zhe Lin, Xiaojun Wan. This paper is accepted by Findings of ACL'21.
ysu1989 / CrossSemparseCode for the paper: "Cross-domain Semantic Parsing via Paraphrasing" - EMNLP 2017
sepandhaghighi / MytextMyText: A Minimal AI-Powered Text Rewriting Tool
Sahrawat1 / Semantic Textual SimilarityAbstract Semantic Textual Similarity (STS) measures the meaning similarity of sentences. Applications of this task include machine translation, summarization, text generation, question answering, short answer grading, semantic search, dialogue and conversational systems. We developed Support Vector Regression model with various features including the similarity scores calculated using alignment-based methods and semantic composition based methods. We have also trained sentence semantic representations with BiLSTM and Convolutional Neural Networks (CNN). The correlations between our system output the human ratings were above 0.8 in the test dataset. Introduction The goal of this task is to measure semantic textual similarity between a given pair of sentences (what they mean rather than whether they look similar syntactically). While making such an assessment is trivial for humans, constructing algorithms and computational models that mimic human level performance represents a difficult and deep natural language understanding (NLU) problem. Example 1: English: Birdie is washing itself in the water basin. English Paraphrase: The bird is bathing in the sink. Similarity Score: 5 ( The two sentences are completely equivalent, as they mean the same thing.) Example 2: English: The young lady enjoys listening to the guitar. English Paraphrase: The woman is playing the violin. Similarity Score: 1 ( The two sentences are not equivalent, but are on the same topic. ) Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text. STS differs from both textual entailment and paraphrase detection in that it captures gradations of meaning overlap rather than making binary classifications of particular relationships. While semantic relatedness expresses a graded semantic relationship as well, it is non-specific about the nature of the relationship with contradictory material still being a candidate for a high score (e.g., “night” and “day” are highly related but not particularly similar). The task involves producing real-valued similarity scores for sentence pairs. Performance is measured by the Pearson correlation of machine scores with human judgments.
cocoxu / Multipsource code of Multiple-instance Learning Paraphrase (MultiP) Model for Twitter
badripatro / Question ParaphrasesNo description available
copenlu / Scientific Information ChangeCode for the paper "Modeling Information Change in Science Communication with Semantically Matched Paraphrases" from EMNLP 2022
DabiriAghdam / SimMarkThis is the official repository of the paper SimMark. SimMark is a sentence-level watermarking algorithm that achieves state-of-the-art detection performance and robustness against paraphrasing, without requiring access to model internals.
acocos / Cluster ParaphrasesCluster paraphrases by word sense
CubasMike / Paraphrase IdentificationParaphrase Identification with Deep Learning using Keras
DataManagementLab / ParaphraseBenchA benchmark to test linguistic robustness.
stavrostheocharis / QuoteraText paraphrasing tool
