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Semantic Composition

7 papers with code ยท Natural Language Processing

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Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models

ACL 2019

Recent work shows that distributional semantic models can be used to decode patterns of brain activity associated with individual words and sentence meanings.

SEMANTIC COMPOSITION

Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition

NAACL 2019

A semantic relatedness dataset that includes bigrams will thus be useful in the development of automatic methods of semantic composition.

SEMANTIC COMPOSITION

No Word is an Island---A Transformation Weighting Model for Semantic Composition

TACL 2019

Composition models of distributional semantics are used to construct phrase representations from the representations of their words.

SEMANTIC COMPOSITION

Semantic Hilbert Space for Text Representation Learning

26 Feb 2019

To address this issue, we propose a new framework that models different levels of semantic units (e. g. sememe, word, sentence, and semantic abstraction) on a single \textit{Semantic Hilbert Space}, which naturally admits a non-linear semantic composition by means of a complex-valued vector word representation.

REPRESENTATION LEARNING SEMANTIC COMPOSITION TEXT CLASSIFICATION

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

21 Jan 2019

Recognizing and linking such fine-grained location mentions to well-defined location profiles are beneficial for retrieval and recommendation systems.

RECOMMENDATION SYSTEMS REPRESENTATION LEARNING SEMANTIC COMPOSITION

A Survey on Deep Learning for Named Entity Recognition

22 Dec 2018

NER serves as the basis for a variety of natural language applications such as question answering, text summarization, and machine translation.

MACHINE TRANSLATION NAMED ENTITY RECOGNITION QUESTION ANSWERING SEMANTIC COMPOSITION TEXT SUMMARIZATION

Quantifying Context Overlap for Training Word Embeddings

EMNLP 2018

Most models for learning word embeddings are trained based on the context information of words, more precisely first order co-occurrence relations.

DIMENSIONALITY REDUCTION LANGUAGE MODELLING LEARNING WORD EMBEDDINGS SEMANTIC COMPOSITION

The Lifted Matrix-Space Model for Semantic Composition

CONLL 2018

Tree-structured neural network architectures for sentence encoding draw inspiration from the approach to semantic composition generally seen in formal linguistics, and have shown empirical improvements over comparable sequence models by doing so.

SEMANTIC COMPOSITION WORD EMBEDDINGS

Learning to Compose over Tree Structures via POS Tags

18 Aug 2018

Recursive Neural Network (RecNN), a type of models which compose words or phrases recursively over syntactic tree structures, has been proven to have superior ability to obtain sentence representation for a variety of NLP tasks.

SEMANTIC COMPOSITION SENTENCE CLASSIFICATION

Accurate SHRG-Based Semantic Parsing

ACL 2018

We demonstrate that an SHRG-based parser can produce semantic graphs much more accurately than previously shown, by relating synchronous production rules to the syntacto-semantic composition process.

SEMANTIC COMPOSITION SEMANTIC PARSING