Knowing the Author by the Company His Words Keep
Code (0)
등록된 구현이 없습니다.
Tasks
Semantic Textual SimilarityWord EmbeddingsSimilar Papers 제목 키워드 기반
What company do words keep? Revisiting the distributional semantics of J.R. Firth & Zellig Harris
The power of word embeddings is attributed to the linguistic theory that similar words will appear in similar contexts. This idea is specifically invoked by noting that "you shall know a word by the company it keeps," a …
Word EmbeddingsYou Shall Know the Most Frequent Sense by the Company it Keeps
Identification of the most frequent sense of a polysemous word is an important semantic task. We introduce two concepts that can benefit MFS detection: companions, which are the most frequently co-occurring words, and th…
TranslationConvolutional Neural Networks for Financial Text Regression
Forecasting financial volatility of a publicly-traded company from its annual reports has been previously defined as a text regression problem. Recent studies use a manually labeled lexicon to filter the annual reports b…
regressionTransfer LearningCompany2Vec -- German Company Embeddings based on Corporate Websites
With Company2Vec, the paper proposes a novel application in representation learning. The model analyzes business activities from unstructured company website data using Word2Vec and dimensionality reduction. Company2Vec …
ClusteringDimensionality ReductionRepresentation Learning