Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings

No abstract is available for this paper.

• Publication year

  2015

• Venue

  International Conference on Computational Semantics

• Publication date

  2015-04-01

• Fields of study

  Linguistics, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• GloVe: Global Vectors for Word Representation

  2014influential reference
• Distributed Representations of Words and Phrases and their Compositionality

  2013cited by this paper
• Interpreting compound nouns with kernel methods

  2013influential reference
• Word Embeddings through Hellinger PCA

  2013cited by this paper
• SemEval-2013 Task 4: Free Paraphrases of Noun Compounds

  2013influential reference
• Classification of noun-noun compound semantics in Dutch and Afrikaans

  2012cited by this paper
• Stochastic Gradient Descent Tricks

  2012influential reference
• Torch7: A Matlab-like Environment for Machine Learning

  2011influential reference
• Natural Language Processing (Almost) from Scratch

  2011influential reference
• Semantically-enriched parsing for natural language understanding

  2011influential reference
• A Taxonomy, Dataset, and Classifier for Automatic Noun Compound Interpretation

  2010influential reference
• A unified architecture for natural language processing: deep neural networks with multitask learning

  2008influential reference
• Learning compound noun semantics

  2008influential reference
• Automatic Interpretation of Noun Compounds Using WordNet Similarity

  2005cited by this paper
• On the semantics of noun compounds

  2005cited by this paper
• Classifying the Semantic Relations in Noun Compounds via a Domain-Specific Lexical Hierarchy

  2001cited by this paper
• Semi-Automatic Recognition of Noun Modifier Relationships

  1998cited by this paper
• Semi-Automatic Recognition of Noun Modifier Relationships

  1998cited by this paper
• Early Stopping-But When?

  1996cited by this paper

• Enhanced Noun-Noun Compound Interpretation through Textual Enrichment

  2025cites this paper
• Human and Automatic Interpretation of Romanian Noun Compounds

  2024cites this paper
• DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit

  2023cites this paper
• Semantic relations classification in Hindi compound nouns using embeddings

  2023cites this paper
• A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit

  2022cites this paper
• Visually Grounded Interpretation of Noun-Noun Compounds in English

  2022cites this paper
• FrameNet-assisted Noun Compound Interpretation

  2021cites this paper
• Viability of Neural Networks for Core Technologies for Resource-Scarce Languages

  2020cites this paper
• Semantic Relations in Compound Nouns: Perspectives from Inter-Annotator Agreement

  2020cites this paper
• Will it Unblend?

  2020cites this paper
• Do semantic features capture a syntactic classification of compounds? Insights from compositional distributional semantics

  2020cites this paper
• Noun–Noun Compound Analysis: A Holistic Perspective

  2019influential citation
• Idiomaticity Prediction of Chinese Noun Compounds and Its Applications

  2019cites this paper
• Revisiting the Role of Feature Engineering for Compound Type Identification in Sanskrit

  2019cites this paper
• Transfer and Multi-Task Learning for Noun–Noun Compound Interpretation

  2018influential citation
• Olive Oil is Made of Olives, Baby Oil is Made for Babies: Interpreting Noun Compounds Using Paraphrases in a Neural Model

  2018cites this paper
• Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations

  2018cites this paper
• Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM

  2018cites this paper
• Automatic Chinese Nominal Compound Interpretation Based on Deep Neural Networks Combined with Semantic Features

  2018cites this paper
• Choosing the most reasonable split of a compound word using Wikipedia

  2017cites this paper
• What do we need to know about an unknown word when parsing German

  2017influential citation
• Unsupervised Induction of Compositional Types for English Adjective-Noun Pairs

  2017cites this paper
• Understanding Reasons for Medication Nonadherence: An Exploration in Social Media Using Sentiment-Enriched Deep Learning Approach

  2017cites this paper
• Semantic Dependency Labeling of Chinese Noun Phrases Based on Semantic Lexicon

  2017cites this paper
• Estimating Distributed Representations of Compound Words Using Recurrent Neural Networks

  2017cites this paper
• Towards a Formal Representation of Components of German Compounds

  2016cites this paper
• Improving Corpus Annotation Quality Using Word Embedding Models

  2016cites this paper
• On Why Coarse Class Classification is Bottleneck in Noun Compound Interpretation

  2016influential citation
• On the Compositionality and Semantic Interpretation of English Noun Compounds

  2016influential citation
• Composition of Compound Nouns Using Distributional Semantics

  2016influential citation
• On the Sufficiency of Using Degree Sequence of the Vertices to Generate Random Networks Corresponding to Real-World Networks

  2016influential citation
• Using Recurrent Neural Networks for joint compound splitting and Sandhi resolution in Sanskrit

  2015cites this paper
• What we need is word, not morpheme; constructing word analyzer for Japanese

  2015cites this paper
• Classifying Semantic Relations in German Nominal Compounds using a Hybrid Annotation Scheme

  2015cites this paper