| scholarly article | Q13442814 |
| P820 | arXiv classification | cs.CL |
| cs.LG | ||
| P818 | arXiv ID | 1511.06388 |
| P953 | full work available at URL | https://arxiv.org/pdf/1511.06388.pdf |
| P2093 | author name string | John Liu | |
| Andrew Trask | |||
| Phil Michalak | |||
| P2860 | cites work | Efficient Estimation of Word Representations in Vector Space | Q24699014 |
| Distributed Representations of Words and Phrases and their Compositionality | Q24731579 | ||
| A Neural Probabilistic Language Model | Q29517961 | ||
| Character-level Convolutional Networks for Text Classification | Q30714444 | ||
| Polyglot: Distributed Word Representations for Multilingual NLP | Q42293702 | ||
| Improving Word Representations via Global Context and Multiple Word Prototypes | Q47463618 | ||
| POLYGLOT-NER: Massive Multilingual Named Entity Recognition | Q47529534 | ||
| Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space | Q55444693 | ||
| A Scalable Hierarchical Distributed Language Model | Q77680601 | ||
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | word-sense disambiguation | Q48522 |
| part of speech | Q82042 | ||
| word sense | Q1570700 | ||
| word embedding | Q18395344 | ||
| P1104 | number of pages | 9 | |
| P577 | publication date | 2015-11-19 | |
| P1433 | published in | arXiv | Q118398 |
| P1476 | title | sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings |
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