14 skills found
ppasupat / WikiTableQuestionsA dataset of complex questions on semi-structured Wikipedia tables
WadeYin9712 / SentiBERTCode for SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics (ACL'2020).
INK-USC / Hierarchical Explanation Neural Sequence ModelsSource code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
INK-USC / VisCOLLCode and data for the project "Visually grounded continual learning of compositional semantics"
SemBioProcess / SemGenA tool for semantics-based annotation and composition of biosimulation models
webyrd / Declarative SemanticsminiKanren implementation of ' Declarative semantics for functional languages: compositional, extensional, and elementary' by Jeremy Siek.
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.
dasmith / DcsAttempt to understand Percy Liang's Dependency-based Compositional Semantics by implementing it in Python
zihao-wang / RotsUnsupervised Sentence Textual Similarity with Compositional Phrase Semantics (COLING 2022)
s-nlp / Ru CompsNoun Compositionality Detection Using Distributional Semantics for the Russian Language
asaluja / Compositional SemanticsToolkit for learning compositional functions over word vector representations.
GU-CLASP / CompositionalBayesianSemanticsCode for "A Compositional Bayesian Semantics for Natural Language", Bernardy, Blanck, Chatzikyriakidis, Lappin 2018
tomtung / TifmoTIFMO: Textual Inference Forward-chaining MOdule
JosephOIbrahim / HarloHarlo — Your AI coach. Built on USD composition semantics for persistent cognitive state management. Patent Pending.
